#brainconnectivity — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #brainconnectivity, aggregated by home.social.
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DATE: May 22, 2026 at 08:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Higher body mass index in youth linked to altered brain connectivity
URL: https://www.psypost.org/higher-body-mass-index-in-youth-linked-to-altered-brain-connectivity/
Children and adolescents with a higher body mass index show distinct differences in their brain activity and the ways different brain regions communicate with one another. These neurological patterns point to a reduction in the brain’s natural inhibitory systems, which might make it harder for to change deeply ingrained habits. The findings were recently published in Clinical Neurophysiology.
The human brain continues to develop and rewire itself heavily throughout childhood and adolescence. The frontal cortex, a brain area responsible for impulse control and complex decision making, is among the last regions to fully mature. During this lengthy developmental window, the brain is highly sensitive to environmental factors. Such external influences include nutrition, physical activity, and overall body weight.
Animal models have shown that diets high in fat and sugar can disrupt the delicate equilibrium of the brain. Brain cells communicate using a mix of excitatory signals that increase activity and inhibitory signals that quiet activity down. Proper brain function relies on maintaining a steady balance between these two forces.
In rodents, researchers found that obesity related diets damaged specialized inhibitory cells in the frontal cortex. These cells are typically wrapped in a protective mesh called a perineuronal net. High fat diets appeared to erode this protective mesh, leaving the inhibitory cells vulnerable to damage.
When these inhibitory cells fail to function properly, the brain loses its ability to hit the neurological brakes. This results in a state of hyper-excitability. A research team wanted to see if human youths with higher body weights exhibited neurological patterns similar to this disinhibited state.
Amy C. Reichelt, a researcher at Western University and the University of Adelaide, led the investigation. She worked alongside Benjamin T. Dunkley from the Hospital for Sick Children in Toronto, as well as a team of other specialists. Together, they designed a study to directly measure brain activity in young volunteers.
The researchers recruited 32 children and teenagers, ranging in age from eight to 19 years old. They calculated each participant’s body mass index, a standard medical metric based on a ratio of height to weight. The cohort was divided into two groups based on how their body mass index compared to standard growth charts for their specific age and sex.
One group consisted of 15 youths with a lower body mass index, falling within average ranges. The other group included 17 youths with a higher body mass index, falling into the overweight or obese categories. Both groups were matched as closely as possible for age and height.
To measure brain activity, the team used a noninvasive imaging technique called magnetoencephalography. This technology relies on highly sensitive sensors to detect the tiny magnetic fields generated by the electrical activity of neurons. This method offers incredibly detailed information about the timing and rapid frequency of brain waves. It can track neural oscillations millisecond by millisecond.
Instead of asking participants to perform an active cognitive puzzle, the researchers had them undergo a resting state scan. Participants laid in the scanner and watched a computer generated, abstract video landscape for five minutes. This neutral video helped the subjects stay still while allowing their minds to wander naturally. The approach allowed the scientists to record the brain’s spontaneous background activity.
The researchers analyzed the resulting brain wave data, focusing on rhythmic oscillations. They found that the youths with a higher body mass index exhibited notable differences in high frequency rhythms known as gamma brain waves. Gamma waves are fast electrical rhythms generated when excitatory and inhibitory cells engage with one another.
In the higher body weight group, gamma activity was highly elevated across many different cortical lobes. The researchers found the boldest effects in the posteromedial cortex and the temporoparietal junction, which are areas involved in directing attention. Elevated gamma activity is often interpreted as a sign that the brain’s natural inhibitory systems are not exerting enough control.
The team also looked at aperiodic activity, which is the constant background electrical static in the brain. They measured the slope of this background noise, a common metric that scientists use to gauge the overall balance of excitation and inhibition in neural tissues. The higher weight group had a shallower slope, pointing to a relative lack of neural inhibition.
These background noise differences were most prominent in the frontal cortex and midline parietal regions. The frontal cortex is deeply involved in top down cognitive control and mental flexibility. Alterations here suggest a potential difficulty in regulating impulses and adjusting to new rules.
Beyond isolating localized brain areas, the researchers examined how specialized brain networks communicated with each other. The brain relies on interconnected webs of regions passing information back and forth. For example, the default mode network is active during internal thought, while the central executive network handles focused working memory tasks.
The salience network is another structural web, responsible for detecting relevant stimuli in the environment and deciding what the brain should pay attention to. The researchers mapped the connections between these distinct networks by looking at how their signals synchronized. In youths with a higher body mass index, they observed weakened communication in lower frequency brain waves like delta and theta rhythms.
Specifically, there were reduced connections between the salience network and networks responsible for driving motivated behaviors. Conversely, the same group showed unusually strong connections in high frequency gamma waves. These tighter high frequency bonds appeared between the default mode network and the central executive network.
This specific combination of weakened low frequency bonds and enhanced high frequency bonds points to an overall loss of efficiency. The typical pathways used to coordinate thoughts and behaviors appeared reorganized in the higher weight group. This could mean the brain is working harder to transmit the same amount of information.
The researchers note several caveats to their experimental approach. Body mass index is an imperfect tool, taking only height and weight into account. It cannot distinguish between muscle mass and adipose tissue. This means it does not always provide an exact reflection of an individual’s body fat percentage.
The relatively small number of participants also means these results should be viewed as preliminary. The observational design of the study means that the researchers cannot state that a higher body mass index caused the brain functioning changes. It remains entirely possible that preexisting brain differences made certain youths more susceptible to excess weight gain.
The scientists also did not track the participants’ daily diets, physical activity levels, or perform behavioral cognitive tests. As a result, the real world implications of these neural shifts are not yet known. It remains a mystery how these specific brain wave patterns translate to daily decision making, academic performance, or emotional regulation.
Future research could incorporate detailed dietary tracking and extensive cognitive assessments alongside brain imaging. The researchers suggest that weakened inhibitory signaling in the frontal cortex could directly influence decision making around food over the long term. Without robust inhibitory control, individuals might find it much harder to resist eating highly palatable foods.
Over time, this could create a feedback loop where dietary habits alter brain development, which in turn entrenches those same dietary habits. Understanding how body weight relates to adolescent brain development might eventually help medical professionals design better strategies for supporting both mental and physical health.
The study, “Elevated body mass index in youth is associated with neural disinhibition and internetwork functional dysconnectivity: A magnetoencephalography study,” was authored by A.C. Reichelt, E. Daskalakis, J. Cohen, K.G. Solar, M. Saberi, M. Ventresca, M. Ali, R. Zamyadi, V. Bhat, S.E. Scratch, J. Hamilton, and B.T. Dunkley.
URL: https://www.psypost.org/higher-body-mass-index-in-youth-linked-to-altered-brain-connectivity/
-------------------------------------------------
DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org
READ ONLINE: http://read-the-rss-mega-archive.clinicians-exchange.org
It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BMIinYouth #BrainConnectivity #NeuralDisinhibition #GammaWaves #Magnetoencephalography #AdolescentHealth #FrontalCortex #InhibitoryControl #BrainDevelopment #ObesityResearch
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DATE: May 22, 2026 at 08:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Higher body mass index in youth linked to altered brain connectivity
URL: https://www.psypost.org/higher-body-mass-index-in-youth-linked-to-altered-brain-connectivity/
Children and adolescents with a higher body mass index show distinct differences in their brain activity and the ways different brain regions communicate with one another. These neurological patterns point to a reduction in the brain’s natural inhibitory systems, which might make it harder for to change deeply ingrained habits. The findings were recently published in Clinical Neurophysiology.
The human brain continues to develop and rewire itself heavily throughout childhood and adolescence. The frontal cortex, a brain area responsible for impulse control and complex decision making, is among the last regions to fully mature. During this lengthy developmental window, the brain is highly sensitive to environmental factors. Such external influences include nutrition, physical activity, and overall body weight.
Animal models have shown that diets high in fat and sugar can disrupt the delicate equilibrium of the brain. Brain cells communicate using a mix of excitatory signals that increase activity and inhibitory signals that quiet activity down. Proper brain function relies on maintaining a steady balance between these two forces.
In rodents, researchers found that obesity related diets damaged specialized inhibitory cells in the frontal cortex. These cells are typically wrapped in a protective mesh called a perineuronal net. High fat diets appeared to erode this protective mesh, leaving the inhibitory cells vulnerable to damage.
When these inhibitory cells fail to function properly, the brain loses its ability to hit the neurological brakes. This results in a state of hyper-excitability. A research team wanted to see if human youths with higher body weights exhibited neurological patterns similar to this disinhibited state.
Amy C. Reichelt, a researcher at Western University and the University of Adelaide, led the investigation. She worked alongside Benjamin T. Dunkley from the Hospital for Sick Children in Toronto, as well as a team of other specialists. Together, they designed a study to directly measure brain activity in young volunteers.
The researchers recruited 32 children and teenagers, ranging in age from eight to 19 years old. They calculated each participant’s body mass index, a standard medical metric based on a ratio of height to weight. The cohort was divided into two groups based on how their body mass index compared to standard growth charts for their specific age and sex.
One group consisted of 15 youths with a lower body mass index, falling within average ranges. The other group included 17 youths with a higher body mass index, falling into the overweight or obese categories. Both groups were matched as closely as possible for age and height.
To measure brain activity, the team used a noninvasive imaging technique called magnetoencephalography. This technology relies on highly sensitive sensors to detect the tiny magnetic fields generated by the electrical activity of neurons. This method offers incredibly detailed information about the timing and rapid frequency of brain waves. It can track neural oscillations millisecond by millisecond.
Instead of asking participants to perform an active cognitive puzzle, the researchers had them undergo a resting state scan. Participants laid in the scanner and watched a computer generated, abstract video landscape for five minutes. This neutral video helped the subjects stay still while allowing their minds to wander naturally. The approach allowed the scientists to record the brain’s spontaneous background activity.
The researchers analyzed the resulting brain wave data, focusing on rhythmic oscillations. They found that the youths with a higher body mass index exhibited notable differences in high frequency rhythms known as gamma brain waves. Gamma waves are fast electrical rhythms generated when excitatory and inhibitory cells engage with one another.
In the higher body weight group, gamma activity was highly elevated across many different cortical lobes. The researchers found the boldest effects in the posteromedial cortex and the temporoparietal junction, which are areas involved in directing attention. Elevated gamma activity is often interpreted as a sign that the brain’s natural inhibitory systems are not exerting enough control.
The team also looked at aperiodic activity, which is the constant background electrical static in the brain. They measured the slope of this background noise, a common metric that scientists use to gauge the overall balance of excitation and inhibition in neural tissues. The higher weight group had a shallower slope, pointing to a relative lack of neural inhibition.
These background noise differences were most prominent in the frontal cortex and midline parietal regions. The frontal cortex is deeply involved in top down cognitive control and mental flexibility. Alterations here suggest a potential difficulty in regulating impulses and adjusting to new rules.
Beyond isolating localized brain areas, the researchers examined how specialized brain networks communicated with each other. The brain relies on interconnected webs of regions passing information back and forth. For example, the default mode network is active during internal thought, while the central executive network handles focused working memory tasks.
The salience network is another structural web, responsible for detecting relevant stimuli in the environment and deciding what the brain should pay attention to. The researchers mapped the connections between these distinct networks by looking at how their signals synchronized. In youths with a higher body mass index, they observed weakened communication in lower frequency brain waves like delta and theta rhythms.
Specifically, there were reduced connections between the salience network and networks responsible for driving motivated behaviors. Conversely, the same group showed unusually strong connections in high frequency gamma waves. These tighter high frequency bonds appeared between the default mode network and the central executive network.
This specific combination of weakened low frequency bonds and enhanced high frequency bonds points to an overall loss of efficiency. The typical pathways used to coordinate thoughts and behaviors appeared reorganized in the higher weight group. This could mean the brain is working harder to transmit the same amount of information.
The researchers note several caveats to their experimental approach. Body mass index is an imperfect tool, taking only height and weight into account. It cannot distinguish between muscle mass and adipose tissue. This means it does not always provide an exact reflection of an individual’s body fat percentage.
The relatively small number of participants also means these results should be viewed as preliminary. The observational design of the study means that the researchers cannot state that a higher body mass index caused the brain functioning changes. It remains entirely possible that preexisting brain differences made certain youths more susceptible to excess weight gain.
The scientists also did not track the participants’ daily diets, physical activity levels, or perform behavioral cognitive tests. As a result, the real world implications of these neural shifts are not yet known. It remains a mystery how these specific brain wave patterns translate to daily decision making, academic performance, or emotional regulation.
Future research could incorporate detailed dietary tracking and extensive cognitive assessments alongside brain imaging. The researchers suggest that weakened inhibitory signaling in the frontal cortex could directly influence decision making around food over the long term. Without robust inhibitory control, individuals might find it much harder to resist eating highly palatable foods.
Over time, this could create a feedback loop where dietary habits alter brain development, which in turn entrenches those same dietary habits. Understanding how body weight relates to adolescent brain development might eventually help medical professionals design better strategies for supporting both mental and physical health.
The study, “Elevated body mass index in youth is associated with neural disinhibition and internetwork functional dysconnectivity: A magnetoencephalography study,” was authored by A.C. Reichelt, E. Daskalakis, J. Cohen, K.G. Solar, M. Saberi, M. Ventresca, M. Ali, R. Zamyadi, V. Bhat, S.E. Scratch, J. Hamilton, and B.T. Dunkley.
URL: https://www.psypost.org/higher-body-mass-index-in-youth-linked-to-altered-brain-connectivity/
-------------------------------------------------
DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org
READ ONLINE: http://read-the-rss-mega-archive.clinicians-exchange.org
It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BMIinYouth #BrainConnectivity #NeuralDisinhibition #GammaWaves #Magnetoencephalography #AdolescentHealth #FrontalCortex #InhibitoryControl #BrainDevelopment #ObesityResearch
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DATE: May 22, 2026 at 08:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Higher body mass index in youth linked to altered brain connectivity
URL: https://www.psypost.org/higher-body-mass-index-in-youth-linked-to-altered-brain-connectivity/
Children and adolescents with a higher body mass index show distinct differences in their brain activity and the ways different brain regions communicate with one another. These neurological patterns point to a reduction in the brain’s natural inhibitory systems, which might make it harder for to change deeply ingrained habits. The findings were recently published in Clinical Neurophysiology.
The human brain continues to develop and rewire itself heavily throughout childhood and adolescence. The frontal cortex, a brain area responsible for impulse control and complex decision making, is among the last regions to fully mature. During this lengthy developmental window, the brain is highly sensitive to environmental factors. Such external influences include nutrition, physical activity, and overall body weight.
Animal models have shown that diets high in fat and sugar can disrupt the delicate equilibrium of the brain. Brain cells communicate using a mix of excitatory signals that increase activity and inhibitory signals that quiet activity down. Proper brain function relies on maintaining a steady balance between these two forces.
In rodents, researchers found that obesity related diets damaged specialized inhibitory cells in the frontal cortex. These cells are typically wrapped in a protective mesh called a perineuronal net. High fat diets appeared to erode this protective mesh, leaving the inhibitory cells vulnerable to damage.
When these inhibitory cells fail to function properly, the brain loses its ability to hit the neurological brakes. This results in a state of hyper-excitability. A research team wanted to see if human youths with higher body weights exhibited neurological patterns similar to this disinhibited state.
Amy C. Reichelt, a researcher at Western University and the University of Adelaide, led the investigation. She worked alongside Benjamin T. Dunkley from the Hospital for Sick Children in Toronto, as well as a team of other specialists. Together, they designed a study to directly measure brain activity in young volunteers.
The researchers recruited 32 children and teenagers, ranging in age from eight to 19 years old. They calculated each participant’s body mass index, a standard medical metric based on a ratio of height to weight. The cohort was divided into two groups based on how their body mass index compared to standard growth charts for their specific age and sex.
One group consisted of 15 youths with a lower body mass index, falling within average ranges. The other group included 17 youths with a higher body mass index, falling into the overweight or obese categories. Both groups were matched as closely as possible for age and height.
To measure brain activity, the team used a noninvasive imaging technique called magnetoencephalography. This technology relies on highly sensitive sensors to detect the tiny magnetic fields generated by the electrical activity of neurons. This method offers incredibly detailed information about the timing and rapid frequency of brain waves. It can track neural oscillations millisecond by millisecond.
Instead of asking participants to perform an active cognitive puzzle, the researchers had them undergo a resting state scan. Participants laid in the scanner and watched a computer generated, abstract video landscape for five minutes. This neutral video helped the subjects stay still while allowing their minds to wander naturally. The approach allowed the scientists to record the brain’s spontaneous background activity.
The researchers analyzed the resulting brain wave data, focusing on rhythmic oscillations. They found that the youths with a higher body mass index exhibited notable differences in high frequency rhythms known as gamma brain waves. Gamma waves are fast electrical rhythms generated when excitatory and inhibitory cells engage with one another.
In the higher body weight group, gamma activity was highly elevated across many different cortical lobes. The researchers found the boldest effects in the posteromedial cortex and the temporoparietal junction, which are areas involved in directing attention. Elevated gamma activity is often interpreted as a sign that the brain’s natural inhibitory systems are not exerting enough control.
The team also looked at aperiodic activity, which is the constant background electrical static in the brain. They measured the slope of this background noise, a common metric that scientists use to gauge the overall balance of excitation and inhibition in neural tissues. The higher weight group had a shallower slope, pointing to a relative lack of neural inhibition.
These background noise differences were most prominent in the frontal cortex and midline parietal regions. The frontal cortex is deeply involved in top down cognitive control and mental flexibility. Alterations here suggest a potential difficulty in regulating impulses and adjusting to new rules.
Beyond isolating localized brain areas, the researchers examined how specialized brain networks communicated with each other. The brain relies on interconnected webs of regions passing information back and forth. For example, the default mode network is active during internal thought, while the central executive network handles focused working memory tasks.
The salience network is another structural web, responsible for detecting relevant stimuli in the environment and deciding what the brain should pay attention to. The researchers mapped the connections between these distinct networks by looking at how their signals synchronized. In youths with a higher body mass index, they observed weakened communication in lower frequency brain waves like delta and theta rhythms.
Specifically, there were reduced connections between the salience network and networks responsible for driving motivated behaviors. Conversely, the same group showed unusually strong connections in high frequency gamma waves. These tighter high frequency bonds appeared between the default mode network and the central executive network.
This specific combination of weakened low frequency bonds and enhanced high frequency bonds points to an overall loss of efficiency. The typical pathways used to coordinate thoughts and behaviors appeared reorganized in the higher weight group. This could mean the brain is working harder to transmit the same amount of information.
The researchers note several caveats to their experimental approach. Body mass index is an imperfect tool, taking only height and weight into account. It cannot distinguish between muscle mass and adipose tissue. This means it does not always provide an exact reflection of an individual’s body fat percentage.
The relatively small number of participants also means these results should be viewed as preliminary. The observational design of the study means that the researchers cannot state that a higher body mass index caused the brain functioning changes. It remains entirely possible that preexisting brain differences made certain youths more susceptible to excess weight gain.
The scientists also did not track the participants’ daily diets, physical activity levels, or perform behavioral cognitive tests. As a result, the real world implications of these neural shifts are not yet known. It remains a mystery how these specific brain wave patterns translate to daily decision making, academic performance, or emotional regulation.
Future research could incorporate detailed dietary tracking and extensive cognitive assessments alongside brain imaging. The researchers suggest that weakened inhibitory signaling in the frontal cortex could directly influence decision making around food over the long term. Without robust inhibitory control, individuals might find it much harder to resist eating highly palatable foods.
Over time, this could create a feedback loop where dietary habits alter brain development, which in turn entrenches those same dietary habits. Understanding how body weight relates to adolescent brain development might eventually help medical professionals design better strategies for supporting both mental and physical health.
The study, “Elevated body mass index in youth is associated with neural disinhibition and internetwork functional dysconnectivity: A magnetoencephalography study,” was authored by A.C. Reichelt, E. Daskalakis, J. Cohen, K.G. Solar, M. Saberi, M. Ventresca, M. Ali, R. Zamyadi, V. Bhat, S.E. Scratch, J. Hamilton, and B.T. Dunkley.
URL: https://www.psypost.org/higher-body-mass-index-in-youth-linked-to-altered-brain-connectivity/
-------------------------------------------------
DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org
READ ONLINE: http://read-the-rss-mega-archive.clinicians-exchange.org
It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BMIinYouth #BrainConnectivity #NeuralDisinhibition #GammaWaves #Magnetoencephalography #AdolescentHealth #FrontalCortex #InhibitoryControl #BrainDevelopment #ObesityResearch
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DATE: May 22, 2026 at 08:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Higher body mass index in youth linked to altered brain connectivity
URL: https://www.psypost.org/higher-body-mass-index-in-youth-linked-to-altered-brain-connectivity/
Children and adolescents with a higher body mass index show distinct differences in their brain activity and the ways different brain regions communicate with one another. These neurological patterns point to a reduction in the brain’s natural inhibitory systems, which might make it harder for to change deeply ingrained habits. The findings were recently published in Clinical Neurophysiology.
The human brain continues to develop and rewire itself heavily throughout childhood and adolescence. The frontal cortex, a brain area responsible for impulse control and complex decision making, is among the last regions to fully mature. During this lengthy developmental window, the brain is highly sensitive to environmental factors. Such external influences include nutrition, physical activity, and overall body weight.
Animal models have shown that diets high in fat and sugar can disrupt the delicate equilibrium of the brain. Brain cells communicate using a mix of excitatory signals that increase activity and inhibitory signals that quiet activity down. Proper brain function relies on maintaining a steady balance between these two forces.
In rodents, researchers found that obesity related diets damaged specialized inhibitory cells in the frontal cortex. These cells are typically wrapped in a protective mesh called a perineuronal net. High fat diets appeared to erode this protective mesh, leaving the inhibitory cells vulnerable to damage.
When these inhibitory cells fail to function properly, the brain loses its ability to hit the neurological brakes. This results in a state of hyper-excitability. A research team wanted to see if human youths with higher body weights exhibited neurological patterns similar to this disinhibited state.
Amy C. Reichelt, a researcher at Western University and the University of Adelaide, led the investigation. She worked alongside Benjamin T. Dunkley from the Hospital for Sick Children in Toronto, as well as a team of other specialists. Together, they designed a study to directly measure brain activity in young volunteers.
The researchers recruited 32 children and teenagers, ranging in age from eight to 19 years old. They calculated each participant’s body mass index, a standard medical metric based on a ratio of height to weight. The cohort was divided into two groups based on how their body mass index compared to standard growth charts for their specific age and sex.
One group consisted of 15 youths with a lower body mass index, falling within average ranges. The other group included 17 youths with a higher body mass index, falling into the overweight or obese categories. Both groups were matched as closely as possible for age and height.
To measure brain activity, the team used a noninvasive imaging technique called magnetoencephalography. This technology relies on highly sensitive sensors to detect the tiny magnetic fields generated by the electrical activity of neurons. This method offers incredibly detailed information about the timing and rapid frequency of brain waves. It can track neural oscillations millisecond by millisecond.
Instead of asking participants to perform an active cognitive puzzle, the researchers had them undergo a resting state scan. Participants laid in the scanner and watched a computer generated, abstract video landscape for five minutes. This neutral video helped the subjects stay still while allowing their minds to wander naturally. The approach allowed the scientists to record the brain’s spontaneous background activity.
The researchers analyzed the resulting brain wave data, focusing on rhythmic oscillations. They found that the youths with a higher body mass index exhibited notable differences in high frequency rhythms known as gamma brain waves. Gamma waves are fast electrical rhythms generated when excitatory and inhibitory cells engage with one another.
In the higher body weight group, gamma activity was highly elevated across many different cortical lobes. The researchers found the boldest effects in the posteromedial cortex and the temporoparietal junction, which are areas involved in directing attention. Elevated gamma activity is often interpreted as a sign that the brain’s natural inhibitory systems are not exerting enough control.
The team also looked at aperiodic activity, which is the constant background electrical static in the brain. They measured the slope of this background noise, a common metric that scientists use to gauge the overall balance of excitation and inhibition in neural tissues. The higher weight group had a shallower slope, pointing to a relative lack of neural inhibition.
These background noise differences were most prominent in the frontal cortex and midline parietal regions. The frontal cortex is deeply involved in top down cognitive control and mental flexibility. Alterations here suggest a potential difficulty in regulating impulses and adjusting to new rules.
Beyond isolating localized brain areas, the researchers examined how specialized brain networks communicated with each other. The brain relies on interconnected webs of regions passing information back and forth. For example, the default mode network is active during internal thought, while the central executive network handles focused working memory tasks.
The salience network is another structural web, responsible for detecting relevant stimuli in the environment and deciding what the brain should pay attention to. The researchers mapped the connections between these distinct networks by looking at how their signals synchronized. In youths with a higher body mass index, they observed weakened communication in lower frequency brain waves like delta and theta rhythms.
Specifically, there were reduced connections between the salience network and networks responsible for driving motivated behaviors. Conversely, the same group showed unusually strong connections in high frequency gamma waves. These tighter high frequency bonds appeared between the default mode network and the central executive network.
This specific combination of weakened low frequency bonds and enhanced high frequency bonds points to an overall loss of efficiency. The typical pathways used to coordinate thoughts and behaviors appeared reorganized in the higher weight group. This could mean the brain is working harder to transmit the same amount of information.
The researchers note several caveats to their experimental approach. Body mass index is an imperfect tool, taking only height and weight into account. It cannot distinguish between muscle mass and adipose tissue. This means it does not always provide an exact reflection of an individual’s body fat percentage.
The relatively small number of participants also means these results should be viewed as preliminary. The observational design of the study means that the researchers cannot state that a higher body mass index caused the brain functioning changes. It remains entirely possible that preexisting brain differences made certain youths more susceptible to excess weight gain.
The scientists also did not track the participants’ daily diets, physical activity levels, or perform behavioral cognitive tests. As a result, the real world implications of these neural shifts are not yet known. It remains a mystery how these specific brain wave patterns translate to daily decision making, academic performance, or emotional regulation.
Future research could incorporate detailed dietary tracking and extensive cognitive assessments alongside brain imaging. The researchers suggest that weakened inhibitory signaling in the frontal cortex could directly influence decision making around food over the long term. Without robust inhibitory control, individuals might find it much harder to resist eating highly palatable foods.
Over time, this could create a feedback loop where dietary habits alter brain development, which in turn entrenches those same dietary habits. Understanding how body weight relates to adolescent brain development might eventually help medical professionals design better strategies for supporting both mental and physical health.
The study, “Elevated body mass index in youth is associated with neural disinhibition and internetwork functional dysconnectivity: A magnetoencephalography study,” was authored by A.C. Reichelt, E. Daskalakis, J. Cohen, K.G. Solar, M. Saberi, M. Ventresca, M. Ali, R. Zamyadi, V. Bhat, S.E. Scratch, J. Hamilton, and B.T. Dunkley.
URL: https://www.psypost.org/higher-body-mass-index-in-youth-linked-to-altered-brain-connectivity/
-------------------------------------------------
DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org
READ ONLINE: http://read-the-rss-mega-archive.clinicians-exchange.org
It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BMIinYouth #BrainConnectivity #NeuralDisinhibition #GammaWaves #Magnetoencephalography #AdolescentHealth #FrontalCortex #InhibitoryControl #BrainDevelopment #ObesityResearch
-
DATE: May 19, 2026 at 06:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Brain connectivity predicts how well antidepressants work compared to placebos
People seeking treatment for depression often experience symptom relief whether they receive an active medication or an inactive placebo. By pooling data from various symptom surveys, researchers discovered that while the pattern of mood improvement looks remarkably similar in both scenarios, the active medication triggers a more intense recovery that is uniquely linked to a patient’s baseline brain connectivity. These findings were published in the journal Psychological Medicine.
Measuring mood improvement is notoriously difficult. Clinicians typically rely on standard questionnaires that condense a wide range of symptoms into a single score. This approach can blur the lines between different aspects of mental health, such as sadness, anxiety, and suicidal thoughts. It also makes it difficult to separate the effects of a pharmacological drug from the placebo effect.
The placebo effect occurs when a patient’s condition improves simply because they expect the treatment to work. Past studies comparing antidepressants to placebos often show little statistical difference when using broad, conventional rating scales. When patients take a pill, the expectation of feeling better often drives real neurobiological changes. To understand the true effect of a drug, researchers need tools that can distinguish the unique benefits of the medication from the baseline response generated by the mind.
Lucie Berkovitch, a researcher in the Department of Psychiatry at the Yale University School of Medicine, led a team to investigate this measurement problem. The researchers suspected that standard clinical evaluations were hiding subtle differences between pharmacological and placebo responses. They wanted to know if the underlying pattern of symptom relief was the same for both groups. They also sought to determine if an individual’s brain wiring before treatment could predict their chance of recovery.
To answer these questions, the team analyzed data from a past clinical trial involving 192 individuals with major depressive disorder. In the first phase of this trial, patients were randomly assigned to receive either a common antidepressant medication called sertraline or a placebo pill for eight weeks. The original trial researchers had collected detailed information on the patients’ depression, anxiety, suicidal thoughts, and manic symptoms. They also took magnetic resonance imaging scans of the patients’ brains before any treatment began.
During the trial, clinicians used a simple seven-point rating system called the Clinical Global Impressions scale to judge if patients were getting better. Based on this broad assessment, the original results showed no statistical difference between the sertraline and placebo groups. The percentage of people considered responders to the treatment was nearly identical between the active drug and the sugar pill.
Berkovitch and the team approached the data differently. They used a statistical technique to evaluate the responses across all the individual questions from four separate psychological surveys. Instead of just looking at the final scores calculated by doctors, the researchers let a computer algorithm find the most dominant pattern of change across 73 individual symptom questions. This data-driven approach compressed the wide variety of patient answers into a single mathematical dimension of clinical improvement.
The results revealed that patients in both the medication and placebo groups improved along the exact same path. Whether they received the active drug or the sugar pill, their symptom relief followed a shared geometry. The mathematical type of symptoms that changed over time remained consistent regardless of the pill they took.
However, the patients taking sertraline advanced much further along this path. The mathematical model showed that the antidepressant prompted a stronger overall recovery than the placebo. This heightened effect was driven largely by greater reductions in anxiety and a lower risk of suicidal thoughts.
This finding highlighted the limitations of the classic clinician rating scale. The basic seven-point assessment had failed to detect this difference in response intensity. Standard surveys often weigh physical symptoms heavily, which can obscure specific psychological improvements tracked by the mathematical model.
The team also looked at the patients’ symptoms at the start of the study to see if initial sickness levels could predict recovery. They found that severe anxiety and suicidal risk at baseline predicted larger improvements on the mathematical model for both groups. Conversely, high baseline scores specifically for depression only predicted recovery in the patients taking sertraline.
After the first eight weeks, the trial included a second phase where patients who did not show improvement were switched to new treatments. Nonresponders to the placebo received sertraline, and nonresponders to sertraline received bupropion, a different class of antidepressant. The researchers ran the mathematical model on this second phase and found the same shared pattern of improvement. This outcome suggests the symptom geometry is consistent even as medications change.
The researchers achieved their most revealing insights when analyzing the baseline brain scans. During a resting state scan, a machine measures how different areas of the brain communicate with one another while the patient is awake but not performing any specific task. The researchers mapped the global connectivity of the brain. They identified how strongly each small region was linked to the rest of the neural network.
They found that higher overall brain connectivity before treatment predicted a stronger recovery on the symptom model for patients taking the antidepressant. This meant that the biological setup of a patient’s brain could forecast how well they would respond to the actual medication. This forecasting effect was not statistically significant for the patients who received the placebo.
Specific networks within the brain also showed different predictive patterns. The connectivity of the amygdala, an almond-shaped cluster of neurons involved in processing fear and emotion, predicted symptom improvement across both groups. The broader overarching brain networks only correlated with the medical drug’s success. The pharmacological treatment appeared to target specific, reproducible brain circuits. The biological roots of the placebo effect proved to be noisier and harder to predict than the drug response.
The study relies on a secondary analysis of a previously completed trial, meaning the data was not collected specifically for this new mathematical approach. The sample size was relatively small for the type of statistical modeling used. Additionally, the original trial design did not include brain scans taken at the end of the eight-week treatment period. Without follow-up imaging, investigators could only observe what predicted recovery rather than seeing how the brain physically changed in response to the drug or the placebo.
Future research featuring larger groups of patients could help confirm if this single path of mood improvement holds true across different demographics and depression subtypes. Conducting new trials that include multiple scans over time would allow scientists to map how these neural networks actually reorganize as symptoms fade. Comparing different types of antidepressants side-by-side using the same computer modeling could reveal how different chemical mechanisms influence recovery. By refining how we measure the mind, doctors may eventually be able to use brain scans to match patients with the most effective personalized treatments.
The study, “A common symptom geometry of mood improvement under sertraline and placebo associated with distinct neural patterns,” was authored by Lucie Berkovitch, Kangjoo Lee, Jie Ji, Markus Helmer, Masih Rahmati, Jure Demsar, Aleksij Kraljic, Andraz Matkovic, Zailyn Tamayo, John Murray, Grega Repovs, John Krystal, William Martin, Clara Fonteneau, and Alan Anticevic.
-------------------------------------------------
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Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
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It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainConnectivity #DepressionTreatment #SertralineVsPlacebo #Antidepressants #PlaceboEffect #Neuroimaging #RestingState fMRI #MentalHealthResearch #PersonalizedMedicine #PsychologicalMedicine
-
DATE: May 19, 2026 at 06:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Brain connectivity predicts how well antidepressants work compared to placebos
People seeking treatment for depression often experience symptom relief whether they receive an active medication or an inactive placebo. By pooling data from various symptom surveys, researchers discovered that while the pattern of mood improvement looks remarkably similar in both scenarios, the active medication triggers a more intense recovery that is uniquely linked to a patient’s baseline brain connectivity. These findings were published in the journal Psychological Medicine.
Measuring mood improvement is notoriously difficult. Clinicians typically rely on standard questionnaires that condense a wide range of symptoms into a single score. This approach can blur the lines between different aspects of mental health, such as sadness, anxiety, and suicidal thoughts. It also makes it difficult to separate the effects of a pharmacological drug from the placebo effect.
The placebo effect occurs when a patient’s condition improves simply because they expect the treatment to work. Past studies comparing antidepressants to placebos often show little statistical difference when using broad, conventional rating scales. When patients take a pill, the expectation of feeling better often drives real neurobiological changes. To understand the true effect of a drug, researchers need tools that can distinguish the unique benefits of the medication from the baseline response generated by the mind.
Lucie Berkovitch, a researcher in the Department of Psychiatry at the Yale University School of Medicine, led a team to investigate this measurement problem. The researchers suspected that standard clinical evaluations were hiding subtle differences between pharmacological and placebo responses. They wanted to know if the underlying pattern of symptom relief was the same for both groups. They also sought to determine if an individual’s brain wiring before treatment could predict their chance of recovery.
To answer these questions, the team analyzed data from a past clinical trial involving 192 individuals with major depressive disorder. In the first phase of this trial, patients were randomly assigned to receive either a common antidepressant medication called sertraline or a placebo pill for eight weeks. The original trial researchers had collected detailed information on the patients’ depression, anxiety, suicidal thoughts, and manic symptoms. They also took magnetic resonance imaging scans of the patients’ brains before any treatment began.
During the trial, clinicians used a simple seven-point rating system called the Clinical Global Impressions scale to judge if patients were getting better. Based on this broad assessment, the original results showed no statistical difference between the sertraline and placebo groups. The percentage of people considered responders to the treatment was nearly identical between the active drug and the sugar pill.
Berkovitch and the team approached the data differently. They used a statistical technique to evaluate the responses across all the individual questions from four separate psychological surveys. Instead of just looking at the final scores calculated by doctors, the researchers let a computer algorithm find the most dominant pattern of change across 73 individual symptom questions. This data-driven approach compressed the wide variety of patient answers into a single mathematical dimension of clinical improvement.
The results revealed that patients in both the medication and placebo groups improved along the exact same path. Whether they received the active drug or the sugar pill, their symptom relief followed a shared geometry. The mathematical type of symptoms that changed over time remained consistent regardless of the pill they took.
However, the patients taking sertraline advanced much further along this path. The mathematical model showed that the antidepressant prompted a stronger overall recovery than the placebo. This heightened effect was driven largely by greater reductions in anxiety and a lower risk of suicidal thoughts.
This finding highlighted the limitations of the classic clinician rating scale. The basic seven-point assessment had failed to detect this difference in response intensity. Standard surveys often weigh physical symptoms heavily, which can obscure specific psychological improvements tracked by the mathematical model.
The team also looked at the patients’ symptoms at the start of the study to see if initial sickness levels could predict recovery. They found that severe anxiety and suicidal risk at baseline predicted larger improvements on the mathematical model for both groups. Conversely, high baseline scores specifically for depression only predicted recovery in the patients taking sertraline.
After the first eight weeks, the trial included a second phase where patients who did not show improvement were switched to new treatments. Nonresponders to the placebo received sertraline, and nonresponders to sertraline received bupropion, a different class of antidepressant. The researchers ran the mathematical model on this second phase and found the same shared pattern of improvement. This outcome suggests the symptom geometry is consistent even as medications change.
The researchers achieved their most revealing insights when analyzing the baseline brain scans. During a resting state scan, a machine measures how different areas of the brain communicate with one another while the patient is awake but not performing any specific task. The researchers mapped the global connectivity of the brain. They identified how strongly each small region was linked to the rest of the neural network.
They found that higher overall brain connectivity before treatment predicted a stronger recovery on the symptom model for patients taking the antidepressant. This meant that the biological setup of a patient’s brain could forecast how well they would respond to the actual medication. This forecasting effect was not statistically significant for the patients who received the placebo.
Specific networks within the brain also showed different predictive patterns. The connectivity of the amygdala, an almond-shaped cluster of neurons involved in processing fear and emotion, predicted symptom improvement across both groups. The broader overarching brain networks only correlated with the medical drug’s success. The pharmacological treatment appeared to target specific, reproducible brain circuits. The biological roots of the placebo effect proved to be noisier and harder to predict than the drug response.
The study relies on a secondary analysis of a previously completed trial, meaning the data was not collected specifically for this new mathematical approach. The sample size was relatively small for the type of statistical modeling used. Additionally, the original trial design did not include brain scans taken at the end of the eight-week treatment period. Without follow-up imaging, investigators could only observe what predicted recovery rather than seeing how the brain physically changed in response to the drug or the placebo.
Future research featuring larger groups of patients could help confirm if this single path of mood improvement holds true across different demographics and depression subtypes. Conducting new trials that include multiple scans over time would allow scientists to map how these neural networks actually reorganize as symptoms fade. Comparing different types of antidepressants side-by-side using the same computer modeling could reveal how different chemical mechanisms influence recovery. By refining how we measure the mind, doctors may eventually be able to use brain scans to match patients with the most effective personalized treatments.
The study, “A common symptom geometry of mood improvement under sertraline and placebo associated with distinct neural patterns,” was authored by Lucie Berkovitch, Kangjoo Lee, Jie Ji, Markus Helmer, Masih Rahmati, Jure Demsar, Aleksij Kraljic, Andraz Matkovic, Zailyn Tamayo, John Murray, Grega Repovs, John Krystal, William Martin, Clara Fonteneau, and Alan Anticevic.
-------------------------------------------------
DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org
READ ONLINE: http://read-the-rss-mega-archive.clinicians-exchange.org
It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainConnectivity #DepressionTreatment #SertralineVsPlacebo #Antidepressants #PlaceboEffect #Neuroimaging #RestingState fMRI #MentalHealthResearch #PersonalizedMedicine #PsychologicalMedicine
-
DATE: May 19, 2026 at 06:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Brain connectivity predicts how well antidepressants work compared to placebos
People seeking treatment for depression often experience symptom relief whether they receive an active medication or an inactive placebo. By pooling data from various symptom surveys, researchers discovered that while the pattern of mood improvement looks remarkably similar in both scenarios, the active medication triggers a more intense recovery that is uniquely linked to a patient’s baseline brain connectivity. These findings were published in the journal Psychological Medicine.
Measuring mood improvement is notoriously difficult. Clinicians typically rely on standard questionnaires that condense a wide range of symptoms into a single score. This approach can blur the lines between different aspects of mental health, such as sadness, anxiety, and suicidal thoughts. It also makes it difficult to separate the effects of a pharmacological drug from the placebo effect.
The placebo effect occurs when a patient’s condition improves simply because they expect the treatment to work. Past studies comparing antidepressants to placebos often show little statistical difference when using broad, conventional rating scales. When patients take a pill, the expectation of feeling better often drives real neurobiological changes. To understand the true effect of a drug, researchers need tools that can distinguish the unique benefits of the medication from the baseline response generated by the mind.
Lucie Berkovitch, a researcher in the Department of Psychiatry at the Yale University School of Medicine, led a team to investigate this measurement problem. The researchers suspected that standard clinical evaluations were hiding subtle differences between pharmacological and placebo responses. They wanted to know if the underlying pattern of symptom relief was the same for both groups. They also sought to determine if an individual’s brain wiring before treatment could predict their chance of recovery.
To answer these questions, the team analyzed data from a past clinical trial involving 192 individuals with major depressive disorder. In the first phase of this trial, patients were randomly assigned to receive either a common antidepressant medication called sertraline or a placebo pill for eight weeks. The original trial researchers had collected detailed information on the patients’ depression, anxiety, suicidal thoughts, and manic symptoms. They also took magnetic resonance imaging scans of the patients’ brains before any treatment began.
During the trial, clinicians used a simple seven-point rating system called the Clinical Global Impressions scale to judge if patients were getting better. Based on this broad assessment, the original results showed no statistical difference between the sertraline and placebo groups. The percentage of people considered responders to the treatment was nearly identical between the active drug and the sugar pill.
Berkovitch and the team approached the data differently. They used a statistical technique to evaluate the responses across all the individual questions from four separate psychological surveys. Instead of just looking at the final scores calculated by doctors, the researchers let a computer algorithm find the most dominant pattern of change across 73 individual symptom questions. This data-driven approach compressed the wide variety of patient answers into a single mathematical dimension of clinical improvement.
The results revealed that patients in both the medication and placebo groups improved along the exact same path. Whether they received the active drug or the sugar pill, their symptom relief followed a shared geometry. The mathematical type of symptoms that changed over time remained consistent regardless of the pill they took.
However, the patients taking sertraline advanced much further along this path. The mathematical model showed that the antidepressant prompted a stronger overall recovery than the placebo. This heightened effect was driven largely by greater reductions in anxiety and a lower risk of suicidal thoughts.
This finding highlighted the limitations of the classic clinician rating scale. The basic seven-point assessment had failed to detect this difference in response intensity. Standard surveys often weigh physical symptoms heavily, which can obscure specific psychological improvements tracked by the mathematical model.
The team also looked at the patients’ symptoms at the start of the study to see if initial sickness levels could predict recovery. They found that severe anxiety and suicidal risk at baseline predicted larger improvements on the mathematical model for both groups. Conversely, high baseline scores specifically for depression only predicted recovery in the patients taking sertraline.
After the first eight weeks, the trial included a second phase where patients who did not show improvement were switched to new treatments. Nonresponders to the placebo received sertraline, and nonresponders to sertraline received bupropion, a different class of antidepressant. The researchers ran the mathematical model on this second phase and found the same shared pattern of improvement. This outcome suggests the symptom geometry is consistent even as medications change.
The researchers achieved their most revealing insights when analyzing the baseline brain scans. During a resting state scan, a machine measures how different areas of the brain communicate with one another while the patient is awake but not performing any specific task. The researchers mapped the global connectivity of the brain. They identified how strongly each small region was linked to the rest of the neural network.
They found that higher overall brain connectivity before treatment predicted a stronger recovery on the symptom model for patients taking the antidepressant. This meant that the biological setup of a patient’s brain could forecast how well they would respond to the actual medication. This forecasting effect was not statistically significant for the patients who received the placebo.
Specific networks within the brain also showed different predictive patterns. The connectivity of the amygdala, an almond-shaped cluster of neurons involved in processing fear and emotion, predicted symptom improvement across both groups. The broader overarching brain networks only correlated with the medical drug’s success. The pharmacological treatment appeared to target specific, reproducible brain circuits. The biological roots of the placebo effect proved to be noisier and harder to predict than the drug response.
The study relies on a secondary analysis of a previously completed trial, meaning the data was not collected specifically for this new mathematical approach. The sample size was relatively small for the type of statistical modeling used. Additionally, the original trial design did not include brain scans taken at the end of the eight-week treatment period. Without follow-up imaging, investigators could only observe what predicted recovery rather than seeing how the brain physically changed in response to the drug or the placebo.
Future research featuring larger groups of patients could help confirm if this single path of mood improvement holds true across different demographics and depression subtypes. Conducting new trials that include multiple scans over time would allow scientists to map how these neural networks actually reorganize as symptoms fade. Comparing different types of antidepressants side-by-side using the same computer modeling could reveal how different chemical mechanisms influence recovery. By refining how we measure the mind, doctors may eventually be able to use brain scans to match patients with the most effective personalized treatments.
The study, “A common symptom geometry of mood improvement under sertraline and placebo associated with distinct neural patterns,” was authored by Lucie Berkovitch, Kangjoo Lee, Jie Ji, Markus Helmer, Masih Rahmati, Jure Demsar, Aleksij Kraljic, Andraz Matkovic, Zailyn Tamayo, John Murray, Grega Repovs, John Krystal, William Martin, Clara Fonteneau, and Alan Anticevic.
-------------------------------------------------
DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org
READ ONLINE: http://read-the-rss-mega-archive.clinicians-exchange.org
It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainConnectivity #DepressionTreatment #SertralineVsPlacebo #Antidepressants #PlaceboEffect #Neuroimaging #RestingState fMRI #MentalHealthResearch #PersonalizedMedicine #PsychologicalMedicine
-
DATE: May 18, 2026 at 08:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Scientists discover that dopamine receptors act as traffic signals to guide migrating brain cells
The assembly of a healthy brain requires new cells to travel incredibly long distances to arrive at their correct final destinations. A recent laboratory mouse study reveals that dopamine receptors located on stationary support cells act remarkably like traffic signals, slowing down migrating neurons so they settle in the correct areas. These findings, published in the European Journal of Neuroscience, suggest that early disruptions to dopamine signaling could permanently alter brain wiring and network connectivity.
Lead investigator Anne-Gaëlle Toutain, a neurobiology researcher at the Fer à Moulin Institute in Paris, conducted the study alongside corresponding author Christine Métin and several other academic collaborators. The team focused their efforts on analyzing the cerebral cortex, the wrinkled outer blanket of the brain responsible for higher cognitive functions. The cellular makeup of this cortical region must be perfectly balanced for the brain as a whole to function properly.
Most individual cells in the cortex are excitatory neurons, which routinely send active signaling impulses to other parts of the mammalian brain. To prevent the brain from becoming hyperactive or overwhelmed, the cortex also heavily relies on inhibitory cells known as interneurons. These smaller interneurons act as a vital cellular braking system, periodically releasing chemicals that calm overall network activity.
Excitatory neurons are born locally in the developing cortex, but the inhibitory interneurons face a much harder and more demanding physical journey. They originally emerge deep inside the core of the embryonic brain in a structure known to developmental biologists as the medial ganglionic eminence. From there, they must migrate great distances outward and upward to populate the developing outer cortex.
Neuroscientists have recognized for years that this brain cell migration is a highly choreographed and delicate biological process. To arrive safely at the correct destination, migrating interneurons must continuously read chemical cues dispersed across their cellular environment. Among these developmental cues is dopamine, a common brain chemical mostly famous for driving feelings of reward and motivation in adult brains.
Biologists possess evidence showing that dopamine is actually present very early in fetal development, arising long before the brain is fully wired or functional. Developing embryonic cells detect this chemical using specific surface proteins commonly called D1 dopamine receptors. Toutain and her entire research team wanted to find out exactly how these sensory receptors physically guide the long-distance journey of migrating interneurons.
Research into fetal dopamine signaling carries a wide range of tangible public health implications. For instance, human babies exposed to illicit drugs like cocaine in the womb fairly often suffer from smaller head sizes and a heightened biological risk of seizures. Because addictive substances directly bombard the dopamine system, they alter the delicate chemical balance needed to correctly wire the vulnerable embryonic brain.
To accurately map the cellular terrain, the researchers engineered laboratory mice to produce a glowing fluorescent protein wherever a D1 receptor was actively operating. This built-in visual marker allowed the scientists to directly map the precise physical locations of the dopamine-sensing cells in the fetal brain. They quickly observed a strangely heavy concentration of D1 receptors clustered tight in the deepest layers of the newly developing cortex.
These unique receptor-heavy cells formed a noticeably dense, continuous cellular layer right along the physical path that the migrating interneurons usually take toward the surface. The team also used analytical chemistry techniques to quantitatively confirm that raw dopamine was floating freely in these exact regions. This verified that the deeply layered cortical cells were actively responding to the chemical while the interneurons traveled aggressively past them.
To see precisely how the D1 receptor influences this cellular movement, the researchers set up isolated cell cultures in flat laboratory dishes. They extracted migrating interneurons and placed them on top of an artificial base layer composed entirely of stationary cortex cells. The research team also deployed highly targeted genetic tools to selectively delete the D1 receptor from the different tissues before ultimately combining them.
This mixing and matching allowed the researchers to watch exactly what happened when the receptor was entirely missing from the migrating cell, the stationary cell, or both cells simultaneously. They tracked the tiny movements of the cells over twenty consecutive hours using advanced time-lapse video microscopy. The resulting footage of this specific biological experiment defied initial scientific expectations about how the brain cells normally behave.
Genetically removing the D1 receptor from the migrating interneurons themselves barely changed their typical travel habits. However, when the researchers deleted the sensory receptor from the stationary cortex cells, the migrating interneurons suddenly began moving at incredibly fast speeds. The migrating cells took noticeably shorter rest pauses and dashed rapidly forward with much greater frequency than their completely unmodified counterparts.
This type of strange phenomenon is known in developmental biology as a non-cell-autonomous effect. A specific genetic alteration in one individual support cell essentially dictates the physical movement behavior of a completely different brain cell. The active D1 receptors on the stationary cortex cells normally act exactly like a textured terrain, heavily slowing down the migrating neurons to a far more manageable physiological pace.
To see if this fast-paced embryonic migration permanently altered the functional anatomy of the brain, the team closely examined fully grown adult mice. They engineered a dedicated group of test mice to lack D1 receptors exclusively in their stationary cortex cells. Because the migrating interneurons in these mice retained completely normal genetics, any subsequent structural changes would absolutely have to stem from the altered cellular terrain.
The researchers counted two distinct biological populations of interneurons to see where they eventually settled across the mature brain. One population consisted of somatostatin-producing cells, which usually migrate very early in the general timeline of embryonic development. The other group was made up of parvalbumin-producing cells, which generally migrate a few days later in the normal fetal maturation schedule.
Because they moved entirely too fast across the slippery cellular terrain, both subsets of cells severely overshot their originally intended marks. The early somatostatin cells piled up in abnormally high numbers at the extreme front and middle edges of the fully formed cortex. The later parvalbumin cells essentially accumulated in the dense sensory regions at the remote back of the completed brain.
Finally, the researchers evaluated mice missing the key D1 receptor entirely, possessing genetic instructions where absolutely no cells in their bodies could ever detect targeted dopamine signals. This profound genetic model closely resembles the biological reality of a severe organism-wide mutation. Without the primary D1 receptor guiding early cortical growth, the overall physical volume of the cerebral cortex shrank dramatically by roughly a full quarter.
Despite experiencing this massive reduction in total brain volume, the interneurons still clustered in the exact same abnormal architectural patterns at the outer edges of the cortex. This conclusive phase of the study showed that the physical environment created by the cortex cells overwhelmingly dominates the cellular migration process. Even in a stunted biological brain, the missing cellular speed bumps sent the migrating cells flying blindly toward the outermost boundaries.
There are still a few missing experimental pieces to this fascinating neurobiological puzzle. The exact biological mechanism that the stationary cortex cells use to slow down the sweeping interneurons remains unknown to the scientific community at large. The active dopamine receptors might alter the overall physical shape of the support cells, or they might subtly change how sticky or slippery the cellular surfaces eventually become.
Future researchers will definitively need to untangle the hidden physical and chemical interactions occurring at the exact microscopic locations where these two cell types frequently touch. Uncovering these hidden mechanisms could eventually shed bright light on a wide variety of poorly understood developmental disorders. Unusually high or low densities of local interneurons are an established feature in the brains of some patients diagnosed medically with schizophrenia and autism.
If fetal dopamine signaling becomes disturbed by inherited genetic traits or external environmental factors, it could eventually lead to these permanent, lifelong structural shifts. The latest findings illustrate how such a seemingly tiny molecular event can ripple outward to reshape the entire physical brain architecture. Understanding this early cellular journey acts as a foundational jumping-off point toward ultimately treating broader neurodevelopmental disorders down the line.
The study, “Ablation of the D1 Dopamine Receptor Alters the Migration and the Cortical Distribution of MGE-Derived Inhibitory Interneurons by a Preponderant Non–Cell-Autonomous Effect,” was authored by Anne-Gaëlle Toutain, Sophie Scotto-Lomassese, Aude Muzerelle, Julien Puech, Ariane Fayad, Anne Roumier, Denis Hervé, and Christine Métin.
-------------------------------------------------
DAILY EMAIL DIGEST: Email [email protected] -- no subject or message needed.
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE: http://subscribe-article-digests.clinicians-exchange.org
READ ONLINE: http://read-the-rss-mega-archive.clinicians-exchange.org
It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #DopamineSignals #InterneuronsMigration #CorticalDevelopment #D1Receptors #Neurobiology #BrainWiring #NonCellAutonomous #NeuroscienceResearch #NeuroDevelopment #BrainConnectivity
-
DATE: May 18, 2026 at 08:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Scientists discover that dopamine receptors act as traffic signals to guide migrating brain cells
The assembly of a healthy brain requires new cells to travel incredibly long distances to arrive at their correct final destinations. A recent laboratory mouse study reveals that dopamine receptors located on stationary support cells act remarkably like traffic signals, slowing down migrating neurons so they settle in the correct areas. These findings, published in the European Journal of Neuroscience, suggest that early disruptions to dopamine signaling could permanently alter brain wiring and network connectivity.
Lead investigator Anne-Gaëlle Toutain, a neurobiology researcher at the Fer à Moulin Institute in Paris, conducted the study alongside corresponding author Christine Métin and several other academic collaborators. The team focused their efforts on analyzing the cerebral cortex, the wrinkled outer blanket of the brain responsible for higher cognitive functions. The cellular makeup of this cortical region must be perfectly balanced for the brain as a whole to function properly.
Most individual cells in the cortex are excitatory neurons, which routinely send active signaling impulses to other parts of the mammalian brain. To prevent the brain from becoming hyperactive or overwhelmed, the cortex also heavily relies on inhibitory cells known as interneurons. These smaller interneurons act as a vital cellular braking system, periodically releasing chemicals that calm overall network activity.
Excitatory neurons are born locally in the developing cortex, but the inhibitory interneurons face a much harder and more demanding physical journey. They originally emerge deep inside the core of the embryonic brain in a structure known to developmental biologists as the medial ganglionic eminence. From there, they must migrate great distances outward and upward to populate the developing outer cortex.
Neuroscientists have recognized for years that this brain cell migration is a highly choreographed and delicate biological process. To arrive safely at the correct destination, migrating interneurons must continuously read chemical cues dispersed across their cellular environment. Among these developmental cues is dopamine, a common brain chemical mostly famous for driving feelings of reward and motivation in adult brains.
Biologists possess evidence showing that dopamine is actually present very early in fetal development, arising long before the brain is fully wired or functional. Developing embryonic cells detect this chemical using specific surface proteins commonly called D1 dopamine receptors. Toutain and her entire research team wanted to find out exactly how these sensory receptors physically guide the long-distance journey of migrating interneurons.
Research into fetal dopamine signaling carries a wide range of tangible public health implications. For instance, human babies exposed to illicit drugs like cocaine in the womb fairly often suffer from smaller head sizes and a heightened biological risk of seizures. Because addictive substances directly bombard the dopamine system, they alter the delicate chemical balance needed to correctly wire the vulnerable embryonic brain.
To accurately map the cellular terrain, the researchers engineered laboratory mice to produce a glowing fluorescent protein wherever a D1 receptor was actively operating. This built-in visual marker allowed the scientists to directly map the precise physical locations of the dopamine-sensing cells in the fetal brain. They quickly observed a strangely heavy concentration of D1 receptors clustered tight in the deepest layers of the newly developing cortex.
These unique receptor-heavy cells formed a noticeably dense, continuous cellular layer right along the physical path that the migrating interneurons usually take toward the surface. The team also used analytical chemistry techniques to quantitatively confirm that raw dopamine was floating freely in these exact regions. This verified that the deeply layered cortical cells were actively responding to the chemical while the interneurons traveled aggressively past them.
To see precisely how the D1 receptor influences this cellular movement, the researchers set up isolated cell cultures in flat laboratory dishes. They extracted migrating interneurons and placed them on top of an artificial base layer composed entirely of stationary cortex cells. The research team also deployed highly targeted genetic tools to selectively delete the D1 receptor from the different tissues before ultimately combining them.
This mixing and matching allowed the researchers to watch exactly what happened when the receptor was entirely missing from the migrating cell, the stationary cell, or both cells simultaneously. They tracked the tiny movements of the cells over twenty consecutive hours using advanced time-lapse video microscopy. The resulting footage of this specific biological experiment defied initial scientific expectations about how the brain cells normally behave.
Genetically removing the D1 receptor from the migrating interneurons themselves barely changed their typical travel habits. However, when the researchers deleted the sensory receptor from the stationary cortex cells, the migrating interneurons suddenly began moving at incredibly fast speeds. The migrating cells took noticeably shorter rest pauses and dashed rapidly forward with much greater frequency than their completely unmodified counterparts.
This type of strange phenomenon is known in developmental biology as a non-cell-autonomous effect. A specific genetic alteration in one individual support cell essentially dictates the physical movement behavior of a completely different brain cell. The active D1 receptors on the stationary cortex cells normally act exactly like a textured terrain, heavily slowing down the migrating neurons to a far more manageable physiological pace.
To see if this fast-paced embryonic migration permanently altered the functional anatomy of the brain, the team closely examined fully grown adult mice. They engineered a dedicated group of test mice to lack D1 receptors exclusively in their stationary cortex cells. Because the migrating interneurons in these mice retained completely normal genetics, any subsequent structural changes would absolutely have to stem from the altered cellular terrain.
The researchers counted two distinct biological populations of interneurons to see where they eventually settled across the mature brain. One population consisted of somatostatin-producing cells, which usually migrate very early in the general timeline of embryonic development. The other group was made up of parvalbumin-producing cells, which generally migrate a few days later in the normal fetal maturation schedule.
Because they moved entirely too fast across the slippery cellular terrain, both subsets of cells severely overshot their originally intended marks. The early somatostatin cells piled up in abnormally high numbers at the extreme front and middle edges of the fully formed cortex. The later parvalbumin cells essentially accumulated in the dense sensory regions at the remote back of the completed brain.
Finally, the researchers evaluated mice missing the key D1 receptor entirely, possessing genetic instructions where absolutely no cells in their bodies could ever detect targeted dopamine signals. This profound genetic model closely resembles the biological reality of a severe organism-wide mutation. Without the primary D1 receptor guiding early cortical growth, the overall physical volume of the cerebral cortex shrank dramatically by roughly a full quarter.
Despite experiencing this massive reduction in total brain volume, the interneurons still clustered in the exact same abnormal architectural patterns at the outer edges of the cortex. This conclusive phase of the study showed that the physical environment created by the cortex cells overwhelmingly dominates the cellular migration process. Even in a stunted biological brain, the missing cellular speed bumps sent the migrating cells flying blindly toward the outermost boundaries.
There are still a few missing experimental pieces to this fascinating neurobiological puzzle. The exact biological mechanism that the stationary cortex cells use to slow down the sweeping interneurons remains unknown to the scientific community at large. The active dopamine receptors might alter the overall physical shape of the support cells, or they might subtly change how sticky or slippery the cellular surfaces eventually become.
Future researchers will definitively need to untangle the hidden physical and chemical interactions occurring at the exact microscopic locations where these two cell types frequently touch. Uncovering these hidden mechanisms could eventually shed bright light on a wide variety of poorly understood developmental disorders. Unusually high or low densities of local interneurons are an established feature in the brains of some patients diagnosed medically with schizophrenia and autism.
If fetal dopamine signaling becomes disturbed by inherited genetic traits or external environmental factors, it could eventually lead to these permanent, lifelong structural shifts. The latest findings illustrate how such a seemingly tiny molecular event can ripple outward to reshape the entire physical brain architecture. Understanding this early cellular journey acts as a foundational jumping-off point toward ultimately treating broader neurodevelopmental disorders down the line.
The study, “Ablation of the D1 Dopamine Receptor Alters the Migration and the Cortical Distribution of MGE-Derived Inhibitory Interneurons by a Preponderant Non–Cell-Autonomous Effect,” was authored by Anne-Gaëlle Toutain, Sophie Scotto-Lomassese, Aude Muzerelle, Julien Puech, Ariane Fayad, Anne Roumier, Denis Hervé, and Christine Métin.
-------------------------------------------------
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-------------------------------------------------
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-
DATE: May 18, 2026 at 08:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Scientists discover that dopamine receptors act as traffic signals to guide migrating brain cells
The assembly of a healthy brain requires new cells to travel incredibly long distances to arrive at their correct final destinations. A recent laboratory mouse study reveals that dopamine receptors located on stationary support cells act remarkably like traffic signals, slowing down migrating neurons so they settle in the correct areas. These findings, published in the European Journal of Neuroscience, suggest that early disruptions to dopamine signaling could permanently alter brain wiring and network connectivity.
Lead investigator Anne-Gaëlle Toutain, a neurobiology researcher at the Fer à Moulin Institute in Paris, conducted the study alongside corresponding author Christine Métin and several other academic collaborators. The team focused their efforts on analyzing the cerebral cortex, the wrinkled outer blanket of the brain responsible for higher cognitive functions. The cellular makeup of this cortical region must be perfectly balanced for the brain as a whole to function properly.
Most individual cells in the cortex are excitatory neurons, which routinely send active signaling impulses to other parts of the mammalian brain. To prevent the brain from becoming hyperactive or overwhelmed, the cortex also heavily relies on inhibitory cells known as interneurons. These smaller interneurons act as a vital cellular braking system, periodically releasing chemicals that calm overall network activity.
Excitatory neurons are born locally in the developing cortex, but the inhibitory interneurons face a much harder and more demanding physical journey. They originally emerge deep inside the core of the embryonic brain in a structure known to developmental biologists as the medial ganglionic eminence. From there, they must migrate great distances outward and upward to populate the developing outer cortex.
Neuroscientists have recognized for years that this brain cell migration is a highly choreographed and delicate biological process. To arrive safely at the correct destination, migrating interneurons must continuously read chemical cues dispersed across their cellular environment. Among these developmental cues is dopamine, a common brain chemical mostly famous for driving feelings of reward and motivation in adult brains.
Biologists possess evidence showing that dopamine is actually present very early in fetal development, arising long before the brain is fully wired or functional. Developing embryonic cells detect this chemical using specific surface proteins commonly called D1 dopamine receptors. Toutain and her entire research team wanted to find out exactly how these sensory receptors physically guide the long-distance journey of migrating interneurons.
Research into fetal dopamine signaling carries a wide range of tangible public health implications. For instance, human babies exposed to illicit drugs like cocaine in the womb fairly often suffer from smaller head sizes and a heightened biological risk of seizures. Because addictive substances directly bombard the dopamine system, they alter the delicate chemical balance needed to correctly wire the vulnerable embryonic brain.
To accurately map the cellular terrain, the researchers engineered laboratory mice to produce a glowing fluorescent protein wherever a D1 receptor was actively operating. This built-in visual marker allowed the scientists to directly map the precise physical locations of the dopamine-sensing cells in the fetal brain. They quickly observed a strangely heavy concentration of D1 receptors clustered tight in the deepest layers of the newly developing cortex.
These unique receptor-heavy cells formed a noticeably dense, continuous cellular layer right along the physical path that the migrating interneurons usually take toward the surface. The team also used analytical chemistry techniques to quantitatively confirm that raw dopamine was floating freely in these exact regions. This verified that the deeply layered cortical cells were actively responding to the chemical while the interneurons traveled aggressively past them.
To see precisely how the D1 receptor influences this cellular movement, the researchers set up isolated cell cultures in flat laboratory dishes. They extracted migrating interneurons and placed them on top of an artificial base layer composed entirely of stationary cortex cells. The research team also deployed highly targeted genetic tools to selectively delete the D1 receptor from the different tissues before ultimately combining them.
This mixing and matching allowed the researchers to watch exactly what happened when the receptor was entirely missing from the migrating cell, the stationary cell, or both cells simultaneously. They tracked the tiny movements of the cells over twenty consecutive hours using advanced time-lapse video microscopy. The resulting footage of this specific biological experiment defied initial scientific expectations about how the brain cells normally behave.
Genetically removing the D1 receptor from the migrating interneurons themselves barely changed their typical travel habits. However, when the researchers deleted the sensory receptor from the stationary cortex cells, the migrating interneurons suddenly began moving at incredibly fast speeds. The migrating cells took noticeably shorter rest pauses and dashed rapidly forward with much greater frequency than their completely unmodified counterparts.
This type of strange phenomenon is known in developmental biology as a non-cell-autonomous effect. A specific genetic alteration in one individual support cell essentially dictates the physical movement behavior of a completely different brain cell. The active D1 receptors on the stationary cortex cells normally act exactly like a textured terrain, heavily slowing down the migrating neurons to a far more manageable physiological pace.
To see if this fast-paced embryonic migration permanently altered the functional anatomy of the brain, the team closely examined fully grown adult mice. They engineered a dedicated group of test mice to lack D1 receptors exclusively in their stationary cortex cells. Because the migrating interneurons in these mice retained completely normal genetics, any subsequent structural changes would absolutely have to stem from the altered cellular terrain.
The researchers counted two distinct biological populations of interneurons to see where they eventually settled across the mature brain. One population consisted of somatostatin-producing cells, which usually migrate very early in the general timeline of embryonic development. The other group was made up of parvalbumin-producing cells, which generally migrate a few days later in the normal fetal maturation schedule.
Because they moved entirely too fast across the slippery cellular terrain, both subsets of cells severely overshot their originally intended marks. The early somatostatin cells piled up in abnormally high numbers at the extreme front and middle edges of the fully formed cortex. The later parvalbumin cells essentially accumulated in the dense sensory regions at the remote back of the completed brain.
Finally, the researchers evaluated mice missing the key D1 receptor entirely, possessing genetic instructions where absolutely no cells in their bodies could ever detect targeted dopamine signals. This profound genetic model closely resembles the biological reality of a severe organism-wide mutation. Without the primary D1 receptor guiding early cortical growth, the overall physical volume of the cerebral cortex shrank dramatically by roughly a full quarter.
Despite experiencing this massive reduction in total brain volume, the interneurons still clustered in the exact same abnormal architectural patterns at the outer edges of the cortex. This conclusive phase of the study showed that the physical environment created by the cortex cells overwhelmingly dominates the cellular migration process. Even in a stunted biological brain, the missing cellular speed bumps sent the migrating cells flying blindly toward the outermost boundaries.
There are still a few missing experimental pieces to this fascinating neurobiological puzzle. The exact biological mechanism that the stationary cortex cells use to slow down the sweeping interneurons remains unknown to the scientific community at large. The active dopamine receptors might alter the overall physical shape of the support cells, or they might subtly change how sticky or slippery the cellular surfaces eventually become.
Future researchers will definitively need to untangle the hidden physical and chemical interactions occurring at the exact microscopic locations where these two cell types frequently touch. Uncovering these hidden mechanisms could eventually shed bright light on a wide variety of poorly understood developmental disorders. Unusually high or low densities of local interneurons are an established feature in the brains of some patients diagnosed medically with schizophrenia and autism.
If fetal dopamine signaling becomes disturbed by inherited genetic traits or external environmental factors, it could eventually lead to these permanent, lifelong structural shifts. The latest findings illustrate how such a seemingly tiny molecular event can ripple outward to reshape the entire physical brain architecture. Understanding this early cellular journey acts as a foundational jumping-off point toward ultimately treating broader neurodevelopmental disorders down the line.
The study, “Ablation of the D1 Dopamine Receptor Alters the Migration and the Cortical Distribution of MGE-Derived Inhibitory Interneurons by a Preponderant Non–Cell-Autonomous Effect,” was authored by Anne-Gaëlle Toutain, Sophie Scotto-Lomassese, Aude Muzerelle, Julien Puech, Ariane Fayad, Anne Roumier, Denis Hervé, and Christine Métin.
-------------------------------------------------
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Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
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It's primitive... but it works... mostly...
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #DopamineSignals #InterneuronsMigration #CorticalDevelopment #D1Receptors #Neurobiology #BrainWiring #NonCellAutonomous #NeuroscienceResearch #NeuroDevelopment #BrainConnectivity
-
DATE: May 13, 2026 at 06:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Brain scans identify the neural network that traps anxious people in cycles of self-blame
New research published in Progress in Neuro-Psychopharmacology and Biological Psychiatry suggests that people with higher levels of everyday anxiety tend to experience more intense self-blaming emotions, along with specific changes in how their brain networks communicate. The findings provide evidence that this heightened self-blame is accompanied by unhelpful behaviors like hiding or self-attacking. These patterns could help explain the social difficulties often faced by anxious individuals in their daily lives.
The researchers conducted this study to better understand how self-blaming emotions operate in people who experience anxiety, even if they do not have a formal psychiatric diagnosis. Emotions like guilt and shame can be adaptive when they prompt someone to make amends for a mistake. They tend to become harmful when they lead to social withdrawal and constant self-criticism.
“People with elevated levels of anxiety quite often experience hardships in their social environments,” said study author Michal Rafal Zareba, a researcher at the Department of Basic and Clinical Psychology and Psychobiology at Universitat Jaume I in Castellon de la Plana, Spain. “For instance, they excessively blame themselves for the negative things that happen to themselves but also to others in their close environment.”
Zareba noted that previous research has explored the brain networks involved in these negative feelings, particularly in people with severe, diagnosed depression. “Although we have known for a long time that such behaviors contribute to poorer well-being of anxious individuals, the brain processes that could contribute to this were largely unexplored,” Zareba said. Understanding these mechanisms could inform preventative strategies to help people before their symptoms worsen.
To investigate these connections, the authors designed a multi-part experiment. First, a group of 140 healthy volunteers completed a computer-based assessment called the Moral Sentiment and Action Tendencies task. During this activity, participants read 54 hypothetical scenarios in which they or their best friend behaved in a way that violated social or moral rules.
For each situation, the participants rated how strongly they would blame themselves or their friend on a numerical scale. They also selected the specific emotion they would feel most strongly, choosing from options like guilt, shame, or self-directed anger. Finally, participants indicated what action they would most likely take in that scenario. The choices included hiding, apologizing, physically or verbally attacking themselves, or creating mental distance from themselves.
The data from this behavioral task indicated that increased anxiety was linked to stronger self-blaming emotions across the board. Highly anxious individuals were more likely to report a desire to attack themselves or hide away from others when imagining these scenarios. This occurred regardless of whether the hypothetical bad behavior was committed by themselves or their friend.
“Self-blaming emotions per se are not something bad; they are a signal telling us that we might have done something wrong,” Zareba said. “What contributes to their prominent role in anxiety is the maladaptive way of dealing with them.”
Interestingly, when experiencing negative emotions about themselves, such as shame or self-directed anger, these anxious participants were less likely to mentally step back or disengage from their self-focused thoughts. In psychology, the ability to create mental space from negative feelings is known as self-distancing. “When feeling self-blaming emotions, anxious individuals appear to be distancing themselves from others and engage more in self-oriented thoughts, rather than try to make up for the resulting situations,” Zareba explained.
In the next phase of the study, a subset of 80 participants underwent brain scanning using functional magnetic resonance imaging. This technology allows scientists to measure brain activity by tracking tiny changes in blood flow. Before the scan, participants provided brief, written cues for seven personal memories that made them feel guilty, as well as seven emotionally neutral memories.
Inside the scanner, the volunteers were shown these custom cues and asked to mentally relive the emotions associated with each specific memory for ten seconds. After reliving the memory, they had four seconds to answer a question about the location or social nature of the event. Between recalling these different memories, they completed simple math problems. This math task was designed to help shift their attention outward and reset their emotional state before the next memory cue appeared.
During the recall of guilt-inducing memories, the researchers observed a widespread increase in brain activity across several regions compared to neutral memories. Most notably, they found that individuals with higher anxiety scores displayed enhanced functional connectivity between two specific brain areas. Functional connectivity refers to how well different regions of the brain communicate and synchronize with one another during a task.
The enhanced communication occurred between the left superior anterior temporal lobe and the bilateral subgenual anterior cingulate cortex. The superior anterior temporal lobe is a brain area known to process social knowledge and complex social concepts. The subgenual anterior cingulate cortex is a deeper brain region involved in processing social affiliation and feelings of self-worth.
“The neuroimaging analysis revealed that when feeling self-blaming emotions, anxious individuals have higher levels of communication between brain regions responsible for understanding the meaning of social emotions, such as guilt, and areas involved in self-worth and social affiliation processing,” Zareba said. “This suggests that the self-blaming emotions may more strongly contribute to how anxious individuals feel about themselves but also their sense of belonging to others. Interestingly, similar observations on the self-blaming emotions have been previously made in patients diagnosed with major depressive disorder.”
The researchers also measured how much participants wanted to approach or avoid the people and places associated with their guilt memories. They found that a higher desire to approach the memory was linked to increased activity in the left superior anterior temporal lobe. On the other hand, a stronger desire to avoid the memory was linked to enhanced connectivity between the corresponding region in the right hemisphere and areas of the brain involved in physical embodiment and social feedback.
A separate resting-state brain scan involving 86 participants yielded additional insights. During a resting-state scan, participants simply focus on a crosshair without performing any specific task, allowing scientists to observe baseline brain activity. The researchers found that people who reported stronger self-blaming emotions in the earlier behavioral task exhibited lower baseline activity in the right temporal pole. This specific area at the tip of the temporal lobe connects social processing with emotional cognition.
As an exploratory step, the scientists also compared the brain activity patterns seen during guilt recall with existing, public maps of neurotransmitter systems in the human brain. Neurotransmitters are chemical messengers that help neurons communicate. The analysis showed that the brain areas activated by guilt heavily overlapped with the distribution of receptors for serotonin, dopamine, norepinephrine, and oxytocin. This hints that these specific chemical systems play a prominent role in shaping how the brain processes strong, negative emotions about the self.
While this research offers detailed insights into the brain mechanics of anxiety and self-blame, the authors note a few limitations to keep in mind. The study focused on healthy volunteers with subclinical anxiety rather than patients formally diagnosed with a psychiatric disorder. The observed patterns might differ in individuals with a long-term, clinical history of severe anxiety or depression.
“Our study was performed in a sample of subclinically anxious individuals, and therefore it still remains to be seen whether similar differences in behavior and brain processes are also found in patients diagnosed with anxiety disorders,” said senior author Maya Visser, an associate professor at the Department of Basic and Clinical Psychology and Psychobiology at Universitat Jaume I. “In fact, we are currently waiting for the results of a grant application that we submitted for such a project.”
Because the brain imaging portion contrasted personal guilt memories against neutral memories, the identified neural activity might not be entirely unique to self-blame. The brain networks highlighted in the study could also be active during other intensely negative emotions. Also, the behavioral task was translated into Spanish, and the Spanish word for guilt can also mean self-blame, which limits the ability to separate those two specific concepts lexically.
The researchers suggest that future longitudinal studies should track individuals over time to see if these patterns predict the development of more severe clinical disorders. “If we replicate the findings in a clinical sample, our research, combined with the previous studies in depressive patients, might contribute to the establishment of a transdiagnostic neuroimaging biomarker of self-blaming emotions,” Visser said. “Such a tool could help better understand what happens in the brains of patients in the course of different pharmacological and psychological treatments.”
The study, “Subclinical anxiety is associated with reduced self-distancing and enhanced self-blame-related connectivity between anterior temporal and subgenual cingulate cortices,” was authored by Michal Rafal Zareba, Ivan González-García, Marcos Ibáñez Montolio, Richard J. Binney, Paul Hoffman, and Maya Visser.
-------------------------------------------------
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Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: https://www.nationalpsychologist.com
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-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #SelfBlame #AnxietyResearch #BrainConnectivity #MoralEmotion #SelfDistancing #TemporalPole #SubgenualCingulate #SocialEmotions #Neuroimaging #MentalHealthScience
-
DATE: May 13, 2026 at 06:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Brain scans identify the neural network that traps anxious people in cycles of self-blame
New research published in Progress in Neuro-Psychopharmacology and Biological Psychiatry suggests that people with higher levels of everyday anxiety tend to experience more intense self-blaming emotions, along with specific changes in how their brain networks communicate. The findings provide evidence that this heightened self-blame is accompanied by unhelpful behaviors like hiding or self-attacking. These patterns could help explain the social difficulties often faced by anxious individuals in their daily lives.
The researchers conducted this study to better understand how self-blaming emotions operate in people who experience anxiety, even if they do not have a formal psychiatric diagnosis. Emotions like guilt and shame can be adaptive when they prompt someone to make amends for a mistake. They tend to become harmful when they lead to social withdrawal and constant self-criticism.
“People with elevated levels of anxiety quite often experience hardships in their social environments,” said study author Michal Rafal Zareba, a researcher at the Department of Basic and Clinical Psychology and Psychobiology at Universitat Jaume I in Castellon de la Plana, Spain. “For instance, they excessively blame themselves for the negative things that happen to themselves but also to others in their close environment.”
Zareba noted that previous research has explored the brain networks involved in these negative feelings, particularly in people with severe, diagnosed depression. “Although we have known for a long time that such behaviors contribute to poorer well-being of anxious individuals, the brain processes that could contribute to this were largely unexplored,” Zareba said. Understanding these mechanisms could inform preventative strategies to help people before their symptoms worsen.
To investigate these connections, the authors designed a multi-part experiment. First, a group of 140 healthy volunteers completed a computer-based assessment called the Moral Sentiment and Action Tendencies task. During this activity, participants read 54 hypothetical scenarios in which they or their best friend behaved in a way that violated social or moral rules.
For each situation, the participants rated how strongly they would blame themselves or their friend on a numerical scale. They also selected the specific emotion they would feel most strongly, choosing from options like guilt, shame, or self-directed anger. Finally, participants indicated what action they would most likely take in that scenario. The choices included hiding, apologizing, physically or verbally attacking themselves, or creating mental distance from themselves.
The data from this behavioral task indicated that increased anxiety was linked to stronger self-blaming emotions across the board. Highly anxious individuals were more likely to report a desire to attack themselves or hide away from others when imagining these scenarios. This occurred regardless of whether the hypothetical bad behavior was committed by themselves or their friend.
“Self-blaming emotions per se are not something bad; they are a signal telling us that we might have done something wrong,” Zareba said. “What contributes to their prominent role in anxiety is the maladaptive way of dealing with them.”
Interestingly, when experiencing negative emotions about themselves, such as shame or self-directed anger, these anxious participants were less likely to mentally step back or disengage from their self-focused thoughts. In psychology, the ability to create mental space from negative feelings is known as self-distancing. “When feeling self-blaming emotions, anxious individuals appear to be distancing themselves from others and engage more in self-oriented thoughts, rather than try to make up for the resulting situations,” Zareba explained.
In the next phase of the study, a subset of 80 participants underwent brain scanning using functional magnetic resonance imaging. This technology allows scientists to measure brain activity by tracking tiny changes in blood flow. Before the scan, participants provided brief, written cues for seven personal memories that made them feel guilty, as well as seven emotionally neutral memories.
Inside the scanner, the volunteers were shown these custom cues and asked to mentally relive the emotions associated with each specific memory for ten seconds. After reliving the memory, they had four seconds to answer a question about the location or social nature of the event. Between recalling these different memories, they completed simple math problems. This math task was designed to help shift their attention outward and reset their emotional state before the next memory cue appeared.
During the recall of guilt-inducing memories, the researchers observed a widespread increase in brain activity across several regions compared to neutral memories. Most notably, they found that individuals with higher anxiety scores displayed enhanced functional connectivity between two specific brain areas. Functional connectivity refers to how well different regions of the brain communicate and synchronize with one another during a task.
The enhanced communication occurred between the left superior anterior temporal lobe and the bilateral subgenual anterior cingulate cortex. The superior anterior temporal lobe is a brain area known to process social knowledge and complex social concepts. The subgenual anterior cingulate cortex is a deeper brain region involved in processing social affiliation and feelings of self-worth.
“The neuroimaging analysis revealed that when feeling self-blaming emotions, anxious individuals have higher levels of communication between brain regions responsible for understanding the meaning of social emotions, such as guilt, and areas involved in self-worth and social affiliation processing,” Zareba said. “This suggests that the self-blaming emotions may more strongly contribute to how anxious individuals feel about themselves but also their sense of belonging to others. Interestingly, similar observations on the self-blaming emotions have been previously made in patients diagnosed with major depressive disorder.”
The researchers also measured how much participants wanted to approach or avoid the people and places associated with their guilt memories. They found that a higher desire to approach the memory was linked to increased activity in the left superior anterior temporal lobe. On the other hand, a stronger desire to avoid the memory was linked to enhanced connectivity between the corresponding region in the right hemisphere and areas of the brain involved in physical embodiment and social feedback.
A separate resting-state brain scan involving 86 participants yielded additional insights. During a resting-state scan, participants simply focus on a crosshair without performing any specific task, allowing scientists to observe baseline brain activity. The researchers found that people who reported stronger self-blaming emotions in the earlier behavioral task exhibited lower baseline activity in the right temporal pole. This specific area at the tip of the temporal lobe connects social processing with emotional cognition.
As an exploratory step, the scientists also compared the brain activity patterns seen during guilt recall with existing, public maps of neurotransmitter systems in the human brain. Neurotransmitters are chemical messengers that help neurons communicate. The analysis showed that the brain areas activated by guilt heavily overlapped with the distribution of receptors for serotonin, dopamine, norepinephrine, and oxytocin. This hints that these specific chemical systems play a prominent role in shaping how the brain processes strong, negative emotions about the self.
While this research offers detailed insights into the brain mechanics of anxiety and self-blame, the authors note a few limitations to keep in mind. The study focused on healthy volunteers with subclinical anxiety rather than patients formally diagnosed with a psychiatric disorder. The observed patterns might differ in individuals with a long-term, clinical history of severe anxiety or depression.
“Our study was performed in a sample of subclinically anxious individuals, and therefore it still remains to be seen whether similar differences in behavior and brain processes are also found in patients diagnosed with anxiety disorders,” said senior author Maya Visser, an associate professor at the Department of Basic and Clinical Psychology and Psychobiology at Universitat Jaume I. “In fact, we are currently waiting for the results of a grant application that we submitted for such a project.”
Because the brain imaging portion contrasted personal guilt memories against neutral memories, the identified neural activity might not be entirely unique to self-blame. The brain networks highlighted in the study could also be active during other intensely negative emotions. Also, the behavioral task was translated into Spanish, and the Spanish word for guilt can also mean self-blame, which limits the ability to separate those two specific concepts lexically.
The researchers suggest that future longitudinal studies should track individuals over time to see if these patterns predict the development of more severe clinical disorders. “If we replicate the findings in a clinical sample, our research, combined with the previous studies in depressive patients, might contribute to the establishment of a transdiagnostic neuroimaging biomarker of self-blaming emotions,” Visser said. “Such a tool could help better understand what happens in the brains of patients in the course of different pharmacological and psychological treatments.”
The study, “Subclinical anxiety is associated with reduced self-distancing and enhanced self-blame-related connectivity between anterior temporal and subgenual cingulate cortices,” was authored by Michal Rafal Zareba, Ivan González-García, Marcos Ibáñez Montolio, Richard J. Binney, Paul Hoffman, and Maya Visser.
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DATE: May 13, 2026 at 06:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Brain scans identify the neural network that traps anxious people in cycles of self-blame
New research published in Progress in Neuro-Psychopharmacology and Biological Psychiatry suggests that people with higher levels of everyday anxiety tend to experience more intense self-blaming emotions, along with specific changes in how their brain networks communicate. The findings provide evidence that this heightened self-blame is accompanied by unhelpful behaviors like hiding or self-attacking. These patterns could help explain the social difficulties often faced by anxious individuals in their daily lives.
The researchers conducted this study to better understand how self-blaming emotions operate in people who experience anxiety, even if they do not have a formal psychiatric diagnosis. Emotions like guilt and shame can be adaptive when they prompt someone to make amends for a mistake. They tend to become harmful when they lead to social withdrawal and constant self-criticism.
“People with elevated levels of anxiety quite often experience hardships in their social environments,” said study author Michal Rafal Zareba, a researcher at the Department of Basic and Clinical Psychology and Psychobiology at Universitat Jaume I in Castellon de la Plana, Spain. “For instance, they excessively blame themselves for the negative things that happen to themselves but also to others in their close environment.”
Zareba noted that previous research has explored the brain networks involved in these negative feelings, particularly in people with severe, diagnosed depression. “Although we have known for a long time that such behaviors contribute to poorer well-being of anxious individuals, the brain processes that could contribute to this were largely unexplored,” Zareba said. Understanding these mechanisms could inform preventative strategies to help people before their symptoms worsen.
To investigate these connections, the authors designed a multi-part experiment. First, a group of 140 healthy volunteers completed a computer-based assessment called the Moral Sentiment and Action Tendencies task. During this activity, participants read 54 hypothetical scenarios in which they or their best friend behaved in a way that violated social or moral rules.
For each situation, the participants rated how strongly they would blame themselves or their friend on a numerical scale. They also selected the specific emotion they would feel most strongly, choosing from options like guilt, shame, or self-directed anger. Finally, participants indicated what action they would most likely take in that scenario. The choices included hiding, apologizing, physically or verbally attacking themselves, or creating mental distance from themselves.
The data from this behavioral task indicated that increased anxiety was linked to stronger self-blaming emotions across the board. Highly anxious individuals were more likely to report a desire to attack themselves or hide away from others when imagining these scenarios. This occurred regardless of whether the hypothetical bad behavior was committed by themselves or their friend.
“Self-blaming emotions per se are not something bad; they are a signal telling us that we might have done something wrong,” Zareba said. “What contributes to their prominent role in anxiety is the maladaptive way of dealing with them.”
Interestingly, when experiencing negative emotions about themselves, such as shame or self-directed anger, these anxious participants were less likely to mentally step back or disengage from their self-focused thoughts. In psychology, the ability to create mental space from negative feelings is known as self-distancing. “When feeling self-blaming emotions, anxious individuals appear to be distancing themselves from others and engage more in self-oriented thoughts, rather than try to make up for the resulting situations,” Zareba explained.
In the next phase of the study, a subset of 80 participants underwent brain scanning using functional magnetic resonance imaging. This technology allows scientists to measure brain activity by tracking tiny changes in blood flow. Before the scan, participants provided brief, written cues for seven personal memories that made them feel guilty, as well as seven emotionally neutral memories.
Inside the scanner, the volunteers were shown these custom cues and asked to mentally relive the emotions associated with each specific memory for ten seconds. After reliving the memory, they had four seconds to answer a question about the location or social nature of the event. Between recalling these different memories, they completed simple math problems. This math task was designed to help shift their attention outward and reset their emotional state before the next memory cue appeared.
During the recall of guilt-inducing memories, the researchers observed a widespread increase in brain activity across several regions compared to neutral memories. Most notably, they found that individuals with higher anxiety scores displayed enhanced functional connectivity between two specific brain areas. Functional connectivity refers to how well different regions of the brain communicate and synchronize with one another during a task.
The enhanced communication occurred between the left superior anterior temporal lobe and the bilateral subgenual anterior cingulate cortex. The superior anterior temporal lobe is a brain area known to process social knowledge and complex social concepts. The subgenual anterior cingulate cortex is a deeper brain region involved in processing social affiliation and feelings of self-worth.
“The neuroimaging analysis revealed that when feeling self-blaming emotions, anxious individuals have higher levels of communication between brain regions responsible for understanding the meaning of social emotions, such as guilt, and areas involved in self-worth and social affiliation processing,” Zareba said. “This suggests that the self-blaming emotions may more strongly contribute to how anxious individuals feel about themselves but also their sense of belonging to others. Interestingly, similar observations on the self-blaming emotions have been previously made in patients diagnosed with major depressive disorder.”
The researchers also measured how much participants wanted to approach or avoid the people and places associated with their guilt memories. They found that a higher desire to approach the memory was linked to increased activity in the left superior anterior temporal lobe. On the other hand, a stronger desire to avoid the memory was linked to enhanced connectivity between the corresponding region in the right hemisphere and areas of the brain involved in physical embodiment and social feedback.
A separate resting-state brain scan involving 86 participants yielded additional insights. During a resting-state scan, participants simply focus on a crosshair without performing any specific task, allowing scientists to observe baseline brain activity. The researchers found that people who reported stronger self-blaming emotions in the earlier behavioral task exhibited lower baseline activity in the right temporal pole. This specific area at the tip of the temporal lobe connects social processing with emotional cognition.
As an exploratory step, the scientists also compared the brain activity patterns seen during guilt recall with existing, public maps of neurotransmitter systems in the human brain. Neurotransmitters are chemical messengers that help neurons communicate. The analysis showed that the brain areas activated by guilt heavily overlapped with the distribution of receptors for serotonin, dopamine, norepinephrine, and oxytocin. This hints that these specific chemical systems play a prominent role in shaping how the brain processes strong, negative emotions about the self.
While this research offers detailed insights into the brain mechanics of anxiety and self-blame, the authors note a few limitations to keep in mind. The study focused on healthy volunteers with subclinical anxiety rather than patients formally diagnosed with a psychiatric disorder. The observed patterns might differ in individuals with a long-term, clinical history of severe anxiety or depression.
“Our study was performed in a sample of subclinically anxious individuals, and therefore it still remains to be seen whether similar differences in behavior and brain processes are also found in patients diagnosed with anxiety disorders,” said senior author Maya Visser, an associate professor at the Department of Basic and Clinical Psychology and Psychobiology at Universitat Jaume I. “In fact, we are currently waiting for the results of a grant application that we submitted for such a project.”
Because the brain imaging portion contrasted personal guilt memories against neutral memories, the identified neural activity might not be entirely unique to self-blame. The brain networks highlighted in the study could also be active during other intensely negative emotions. Also, the behavioral task was translated into Spanish, and the Spanish word for guilt can also mean self-blame, which limits the ability to separate those two specific concepts lexically.
The researchers suggest that future longitudinal studies should track individuals over time to see if these patterns predict the development of more severe clinical disorders. “If we replicate the findings in a clinical sample, our research, combined with the previous studies in depressive patients, might contribute to the establishment of a transdiagnostic neuroimaging biomarker of self-blaming emotions,” Visser said. “Such a tool could help better understand what happens in the brains of patients in the course of different pharmacological and psychological treatments.”
The study, “Subclinical anxiety is associated with reduced self-distancing and enhanced self-blame-related connectivity between anterior temporal and subgenual cingulate cortices,” was authored by Michal Rafal Zareba, Ivan González-García, Marcos Ibáñez Montolio, Richard J. Binney, Paul Hoffman, and Maya Visser.
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #SelfBlame #AnxietyResearch #BrainConnectivity #MoralEmotion #SelfDistancing #TemporalPole #SubgenualCingulate #SocialEmotions #Neuroimaging #MentalHealthScience
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🧠 New paper by Cooper et al., who introduce a method to trace #astrocyte #gapjunction networks in vivo and show that astrocytes form selective, plastic networks linking specific #brain regions rather than one diffuse brain-wide syncytium. These networks can span long distances, differ from known #neuronal projections, and reorganize after sensory deprivation:
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(PDF) Linear and nonlinear mul... -
New nTL-MDPC method enhances EEG/MEG connectivity analysis by capturing nonlinear brain interactions, outperforming linear TL-MDPC by up to 15% in explained variance under optimal conditions. #Neuroscience #BrainConnectivity #EEG #MEG www.researchgate.net/publication/...
(PDF) Linear and nonlinear mul... -
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(PDF) Linear and nonlinear mul... -
New nTL-MDPC method enhances EEG/MEG connectivity analysis by capturing nonlinear brain interactions, outperforming linear TL-MDPC by up to 15% in explained variance under optimal conditions. #Neuroscience #BrainConnectivity #EEG #MEG www.researchgate.net/publication/...
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