#default-mode-network — Public Fediverse posts

DATE: September 28, 2026 at 12:00PM
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: Psychedelics reduce bottom-up brain activity in the default mode network

URL: https://www.psypost.org/psychedelics-alter-the-trajectory-of-moving-brain-waves/

Psychedelic drugs like LSD and psilocybin reduce the amount of bottom-up brain activity flowing into a network associated with self-reflection. These altered trajectories of brain signals occur consistently across humans and mice, offering a biological explanation for how these drugs reshape the mind. The findings were published in the Proceedings of the National Academy of Sciences.

Psychedelics are gaining attention as potential psychiatric treatments for conditions like depression and trauma. To understand their therapeutic benefits and risks, researchers need to know exactly how these substances alter brain function. Prior research has identified that psychedelics affect the default mode network, a collection of brain regions responsible for introspection, daydreaming, and mental rigidity. Many psychiatric conditions involve abnormal activity in this specific network, making it a primary target for new treatments.

The default mode network sits at the top of a processing hierarchy in the brain. Brain activity constantly moves across the surface of the cortex, which is the brain’s outer layer. Information travels from lower-order sensory areas up into higher-order areas like the default mode network, a process known as bottom-up processing. The reverse movement, from higher cognitive regions down to sensory regions, is called top-down processing.

In a healthy brain, bottom-up processing updates our internal models with new information from the outside world. Top-down processing uses our past experiences and expectations to make sense of that incoming sensory data. An imbalance between these two directions of information flow can lead to psychological distress or perceptual errors.

Past imaging studies typically measured brain activity in static regions, treating the brain as a set of fixed locations. This approach ignores the continuous, wave-like movement of signals across the brain’s surface. Analyzing static brain regions is similar to measuring the total rainfall in a single county without tracking the movement of the storm system on a weather radar. By treating the brain as a collection of isolated points, traditional research methods might obscure the true dynamics of how different brain areas communicate over time.

Adam R. Pines, Leanne M. Williams, and their colleagues at Stanford University wanted to observe these moving signals directly. They adapted an analytical technique called optical flow, which tracks the frame-by-frame movement of pixels in a video. The team used this mathematical approach to track the direction and size of brain activity waves moving across the cortex.

The researchers first analyzed a small study of 14 human volunteers who received MDMA. They compared functional magnetic resonance imaging scans taken after the participants took MDMA to scans taken after a placebo pill or no drug at all. The optical flow analysis revealed a consistent pattern across the subjects.

The team found that MDMA reduced the overall magnitude of brain waves moving through the default mode network. The drug also reduced the proportion of signals traveling in a bottom-up direction into the network.

Next, the team examined a second small study involving six human participants who ingested psilocybin. The researchers compared brain scans from the psilocybin sessions to baseline scans and to an active placebo condition. For the active placebo, participants received a dose of the stimulant methylphenidate. This stimulant mimics the physical arousal of psilocybin without the psychedelic effects.

As with MDMA, psilocybin reduced the overall magnitude of propagating brain waves in the default mode network. The reduction in bottom-up directionality was also present but was not statistically significant. The researchers suspect this weaker result occurred because the effects of psilocybin lingered for days. This persistence may have artificially altered the baseline scans taken shortly after the drug sessions.

In a third small study, 18 human volunteers received an intravenous infusion of LSD. The researchers compared their brain activity to scans taken after a saline placebo infusion. Consistent with the other substances, LSD reduced both the magnitude of the moving brain waves and the proportion of bottom-up signals entering the default mode network.

To ensure these effects were not unique to humans or specific to magnetic resonance imaging, the team looked at a small study of 14 mice. They used widefield calcium imaging, a technique that directly records the physical activity of brain cells with high resolution. The mice received LSD, a sedative called diazepam, or a different sedative called dexmedetomidine.

Like the human participants, mice given LSD showed reduced magnitude and bottom-up flow of brain activity in the default mode network. Diazepam, an anti-anxiety medication, also reduced bottom-up signals, though to a lesser extent than LSD. Dexmedetomidine produced the exact opposite effect, increasing the proportion of bottom-up signals entering the network. These animal results confirmed that the optical flow technique measures actual changes in nerve cell activity rather than artifacts of blood flow.

The researchers also investigated whether these changes in moving brain activity related to the subjective experiences reported by the human volunteers. In the MDMA study, participants who experienced the greatest reduction in bottom-up processing also reported the most intense feelings of impaired control. They also reported a greater dread of ego dissolution, which is a fearful reaction to losing one’s sense of self.

This psychological correlation suggests that suppressing bottom-up information flow too much could trigger the negative experiences sometimes associated with psychedelics. Bottom-up processing normally grounds individuals in their immediate sensory environment. A severe drop in this grounding input might leave individuals feeling detached or at the mercy of their unanchored internal thoughts.

Some psychiatric conditions, such as ruminative depression, are characterized by excessive automatic thoughts and abnormal bottom-up signaling. Reducing bottom-up flow might explain why psychedelics offer relief for some patients with depression. The drugs could temporarily quiet the intrusive signals feeding into the default mode network.

Individuals at risk for psychosis already suffer from impaired bottom-up processing. Giving psychedelics to these vulnerable patients could exacerbate their symptoms. The drugs might overpower their ability to update internal beliefs with external reality.

The sample sizes across all four datasets are small, which limits the ability to account for individual differences in how people react to these drugs. Larger datasets will be necessary to map out how different psychedelics affect people with varied biological backgrounds. Expanding the number of participants could reveal more subtle alterations to brain activity flow that this initial analysis missed.

The optical flow analysis focused exclusively on the outer surface of the brain. Psychedelics also heavily influence deep brain structures, but tracking moving signals between these buried regions and the surface remains computationally out of reach for this specific technique. The imaging technologies used in human participants also have limits in their spatial and temporal resolution. These equipment limitations mean researchers might miss faster changes in brain signaling.

Finally, the studies relied entirely on healthy volunteers and laboratory mice. Future research will need to test these observations in clinical populations to determine how these changes in brain activity relate to therapeutic outcomes. Understanding the exact mechanisms of psychedelic action could help doctors identify which patients are most likely to benefit from these treatments and which patients might be harmed by them.

The study, “Psychedelics disrupt hierarchical cortical propagations in the default mode network of humans and mice,” was authored by Adam R. Pines, Xue Zhang, John Kochalka, Sam S. Vesuna, Isaac V. Kauvar, Divya Rajasekharan, T. Rick Reneau, Teddy J. Akiki, Laura M. Hack, Joshua S. Siegel, and Leanne M. Williams.

URL: https://www.psypost.org/psychedelics-alter-the-trajectory-of-moving-brain-waves/

-------------------------------------------------

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

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #PsychedelicsBrain activity #DefaultModeNetwork #BottomUpProcessing #MDMA #Psilocybin #LSD #Neuroscience #OpticalFlow #BrainConnectivity #PsychedelicTherapy

DATE: September 28, 2026 at 12:00PM
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: Psychedelics reduce bottom-up brain activity in the default mode network

URL: https://www.psypost.org/psychedelics-alter-the-trajectory-of-moving-brain-waves/

Psychedelic drugs like LSD and psilocybin reduce the amount of bottom-up brain activity flowing into a network associated with self-reflection. These altered trajectories of brain signals occur consistently across humans and mice, offering a biological explanation for how these drugs reshape the mind. The findings were published in the Proceedings of the National Academy of Sciences.

Psychedelics are gaining attention as potential psychiatric treatments for conditions like depression and trauma. To understand their therapeutic benefits and risks, researchers need to know exactly how these substances alter brain function. Prior research has identified that psychedelics affect the default mode network, a collection of brain regions responsible for introspection, daydreaming, and mental rigidity. Many psychiatric conditions involve abnormal activity in this specific network, making it a primary target for new treatments.

The default mode network sits at the top of a processing hierarchy in the brain. Brain activity constantly moves across the surface of the cortex, which is the brain’s outer layer. Information travels from lower-order sensory areas up into higher-order areas like the default mode network, a process known as bottom-up processing. The reverse movement, from higher cognitive regions down to sensory regions, is called top-down processing.

In a healthy brain, bottom-up processing updates our internal models with new information from the outside world. Top-down processing uses our past experiences and expectations to make sense of that incoming sensory data. An imbalance between these two directions of information flow can lead to psychological distress or perceptual errors.

Past imaging studies typically measured brain activity in static regions, treating the brain as a set of fixed locations. This approach ignores the continuous, wave-like movement of signals across the brain’s surface. Analyzing static brain regions is similar to measuring the total rainfall in a single county without tracking the movement of the storm system on a weather radar. By treating the brain as a collection of isolated points, traditional research methods might obscure the true dynamics of how different brain areas communicate over time.

Adam R. Pines, Leanne M. Williams, and their colleagues at Stanford University wanted to observe these moving signals directly. They adapted an analytical technique called optical flow, which tracks the frame-by-frame movement of pixels in a video. The team used this mathematical approach to track the direction and size of brain activity waves moving across the cortex.

The researchers first analyzed a small study of 14 human volunteers who received MDMA. They compared functional magnetic resonance imaging scans taken after the participants took MDMA to scans taken after a placebo pill or no drug at all. The optical flow analysis revealed a consistent pattern across the subjects.

The team found that MDMA reduced the overall magnitude of brain waves moving through the default mode network. The drug also reduced the proportion of signals traveling in a bottom-up direction into the network.

Next, the team examined a second small study involving six human participants who ingested psilocybin. The researchers compared brain scans from the psilocybin sessions to baseline scans and to an active placebo condition. For the active placebo, participants received a dose of the stimulant methylphenidate. This stimulant mimics the physical arousal of psilocybin without the psychedelic effects.

As with MDMA, psilocybin reduced the overall magnitude of propagating brain waves in the default mode network. The reduction in bottom-up directionality was also present but was not statistically significant. The researchers suspect this weaker result occurred because the effects of psilocybin lingered for days. This persistence may have artificially altered the baseline scans taken shortly after the drug sessions.

In a third small study, 18 human volunteers received an intravenous infusion of LSD. The researchers compared their brain activity to scans taken after a saline placebo infusion. Consistent with the other substances, LSD reduced both the magnitude of the moving brain waves and the proportion of bottom-up signals entering the default mode network.

To ensure these effects were not unique to humans or specific to magnetic resonance imaging, the team looked at a small study of 14 mice. They used widefield calcium imaging, a technique that directly records the physical activity of brain cells with high resolution. The mice received LSD, a sedative called diazepam, or a different sedative called dexmedetomidine.

Like the human participants, mice given LSD showed reduced magnitude and bottom-up flow of brain activity in the default mode network. Diazepam, an anti-anxiety medication, also reduced bottom-up signals, though to a lesser extent than LSD. Dexmedetomidine produced the exact opposite effect, increasing the proportion of bottom-up signals entering the network. These animal results confirmed that the optical flow technique measures actual changes in nerve cell activity rather than artifacts of blood flow.

The researchers also investigated whether these changes in moving brain activity related to the subjective experiences reported by the human volunteers. In the MDMA study, participants who experienced the greatest reduction in bottom-up processing also reported the most intense feelings of impaired control. They also reported a greater dread of ego dissolution, which is a fearful reaction to losing one’s sense of self.

This psychological correlation suggests that suppressing bottom-up information flow too much could trigger the negative experiences sometimes associated with psychedelics. Bottom-up processing normally grounds individuals in their immediate sensory environment. A severe drop in this grounding input might leave individuals feeling detached or at the mercy of their unanchored internal thoughts.

Some psychiatric conditions, such as ruminative depression, are characterized by excessive automatic thoughts and abnormal bottom-up signaling. Reducing bottom-up flow might explain why psychedelics offer relief for some patients with depression. The drugs could temporarily quiet the intrusive signals feeding into the default mode network.

Individuals at risk for psychosis already suffer from impaired bottom-up processing. Giving psychedelics to these vulnerable patients could exacerbate their symptoms. The drugs might overpower their ability to update internal beliefs with external reality.

The sample sizes across all four datasets are small, which limits the ability to account for individual differences in how people react to these drugs. Larger datasets will be necessary to map out how different psychedelics affect people with varied biological backgrounds. Expanding the number of participants could reveal more subtle alterations to brain activity flow that this initial analysis missed.

The optical flow analysis focused exclusively on the outer surface of the brain. Psychedelics also heavily influence deep brain structures, but tracking moving signals between these buried regions and the surface remains computationally out of reach for this specific technique. The imaging technologies used in human participants also have limits in their spatial and temporal resolution. These equipment limitations mean researchers might miss faster changes in brain signaling.

Finally, the studies relied entirely on healthy volunteers and laboratory mice. Future research will need to test these observations in clinical populations to determine how these changes in brain activity relate to therapeutic outcomes. Understanding the exact mechanisms of psychedelic action could help doctors identify which patients are most likely to benefit from these treatments and which patients might be harmed by them.

The study, “Psychedelics disrupt hierarchical cortical propagations in the default mode network of humans and mice,” was authored by Adam R. Pines, Xue Zhang, John Kochalka, Sam S. Vesuna, Isaac V. Kauvar, Divya Rajasekharan, T. Rick Reneau, Teddy J. Akiki, Laura M. Hack, Joshua S. Siegel, and Leanne M. Williams.

URL: https://www.psypost.org/psychedelics-alter-the-trajectory-of-moving-brain-waves/

-------------------------------------------------

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

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #PsychedelicsBrain activity #DefaultModeNetwork #BottomUpProcessing #MDMA #Psilocybin #LSD #Neuroscience #OpticalFlow #BrainConnectivity #PsychedelicTherapy

DATE: September 28, 2026 at 12:00PM
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: Psychedelics reduce bottom-up brain activity in the default mode network

URL: https://www.psypost.org/psychedelics-alter-the-trajectory-of-moving-brain-waves/

Psychedelic drugs like LSD and psilocybin reduce the amount of bottom-up brain activity flowing into a network associated with self-reflection. These altered trajectories of brain signals occur consistently across humans and mice, offering a biological explanation for how these drugs reshape the mind. The findings were published in the Proceedings of the National Academy of Sciences.

Psychedelics are gaining attention as potential psychiatric treatments for conditions like depression and trauma. To understand their therapeutic benefits and risks, researchers need to know exactly how these substances alter brain function. Prior research has identified that psychedelics affect the default mode network, a collection of brain regions responsible for introspection, daydreaming, and mental rigidity. Many psychiatric conditions involve abnormal activity in this specific network, making it a primary target for new treatments.

The default mode network sits at the top of a processing hierarchy in the brain. Brain activity constantly moves across the surface of the cortex, which is the brain’s outer layer. Information travels from lower-order sensory areas up into higher-order areas like the default mode network, a process known as bottom-up processing. The reverse movement, from higher cognitive regions down to sensory regions, is called top-down processing.

In a healthy brain, bottom-up processing updates our internal models with new information from the outside world. Top-down processing uses our past experiences and expectations to make sense of that incoming sensory data. An imbalance between these two directions of information flow can lead to psychological distress or perceptual errors.

Past imaging studies typically measured brain activity in static regions, treating the brain as a set of fixed locations. This approach ignores the continuous, wave-like movement of signals across the brain’s surface. Analyzing static brain regions is similar to measuring the total rainfall in a single county without tracking the movement of the storm system on a weather radar. By treating the brain as a collection of isolated points, traditional research methods might obscure the true dynamics of how different brain areas communicate over time.

Adam R. Pines, Leanne M. Williams, and their colleagues at Stanford University wanted to observe these moving signals directly. They adapted an analytical technique called optical flow, which tracks the frame-by-frame movement of pixels in a video. The team used this mathematical approach to track the direction and size of brain activity waves moving across the cortex.

The researchers first analyzed a small study of 14 human volunteers who received MDMA. They compared functional magnetic resonance imaging scans taken after the participants took MDMA to scans taken after a placebo pill or no drug at all. The optical flow analysis revealed a consistent pattern across the subjects.

The team found that MDMA reduced the overall magnitude of brain waves moving through the default mode network. The drug also reduced the proportion of signals traveling in a bottom-up direction into the network.

Next, the team examined a second small study involving six human participants who ingested psilocybin. The researchers compared brain scans from the psilocybin sessions to baseline scans and to an active placebo condition. For the active placebo, participants received a dose of the stimulant methylphenidate. This stimulant mimics the physical arousal of psilocybin without the psychedelic effects.

As with MDMA, psilocybin reduced the overall magnitude of propagating brain waves in the default mode network. The reduction in bottom-up directionality was also present but was not statistically significant. The researchers suspect this weaker result occurred because the effects of psilocybin lingered for days. This persistence may have artificially altered the baseline scans taken shortly after the drug sessions.

In a third small study, 18 human volunteers received an intravenous infusion of LSD. The researchers compared their brain activity to scans taken after a saline placebo infusion. Consistent with the other substances, LSD reduced both the magnitude of the moving brain waves and the proportion of bottom-up signals entering the default mode network.

To ensure these effects were not unique to humans or specific to magnetic resonance imaging, the team looked at a small study of 14 mice. They used widefield calcium imaging, a technique that directly records the physical activity of brain cells with high resolution. The mice received LSD, a sedative called diazepam, or a different sedative called dexmedetomidine.

Like the human participants, mice given LSD showed reduced magnitude and bottom-up flow of brain activity in the default mode network. Diazepam, an anti-anxiety medication, also reduced bottom-up signals, though to a lesser extent than LSD. Dexmedetomidine produced the exact opposite effect, increasing the proportion of bottom-up signals entering the network. These animal results confirmed that the optical flow technique measures actual changes in nerve cell activity rather than artifacts of blood flow.

The researchers also investigated whether these changes in moving brain activity related to the subjective experiences reported by the human volunteers. In the MDMA study, participants who experienced the greatest reduction in bottom-up processing also reported the most intense feelings of impaired control. They also reported a greater dread of ego dissolution, which is a fearful reaction to losing one’s sense of self.

This psychological correlation suggests that suppressing bottom-up information flow too much could trigger the negative experiences sometimes associated with psychedelics. Bottom-up processing normally grounds individuals in their immediate sensory environment. A severe drop in this grounding input might leave individuals feeling detached or at the mercy of their unanchored internal thoughts.

Some psychiatric conditions, such as ruminative depression, are characterized by excessive automatic thoughts and abnormal bottom-up signaling. Reducing bottom-up flow might explain why psychedelics offer relief for some patients with depression. The drugs could temporarily quiet the intrusive signals feeding into the default mode network.

Individuals at risk for psychosis already suffer from impaired bottom-up processing. Giving psychedelics to these vulnerable patients could exacerbate their symptoms. The drugs might overpower their ability to update internal beliefs with external reality.

The sample sizes across all four datasets are small, which limits the ability to account for individual differences in how people react to these drugs. Larger datasets will be necessary to map out how different psychedelics affect people with varied biological backgrounds. Expanding the number of participants could reveal more subtle alterations to brain activity flow that this initial analysis missed.

The optical flow analysis focused exclusively on the outer surface of the brain. Psychedelics also heavily influence deep brain structures, but tracking moving signals between these buried regions and the surface remains computationally out of reach for this specific technique. The imaging technologies used in human participants also have limits in their spatial and temporal resolution. These equipment limitations mean researchers might miss faster changes in brain signaling.

Finally, the studies relied entirely on healthy volunteers and laboratory mice. Future research will need to test these observations in clinical populations to determine how these changes in brain activity relate to therapeutic outcomes. Understanding the exact mechanisms of psychedelic action could help doctors identify which patients are most likely to benefit from these treatments and which patients might be harmed by them.

The study, “Psychedelics disrupt hierarchical cortical propagations in the default mode network of humans and mice,” was authored by Adam R. Pines, Xue Zhang, John Kochalka, Sam S. Vesuna, Isaac V. Kauvar, Divya Rajasekharan, T. Rick Reneau, Teddy J. Akiki, Laura M. Hack, Joshua S. Siegel, and Leanne M. Williams.

URL: https://www.psypost.org/psychedelics-alter-the-trajectory-of-moving-brain-waves/

-------------------------------------------------

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

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #PsychedelicsBrain activity #DefaultModeNetwork #BottomUpProcessing #MDMA #Psilocybin #LSD #Neuroscience #OpticalFlow #BrainConnectivity #PsychedelicTherapy

DATE: September 21, 2026 at 04:00PM
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: Mapping the relay stations of human consciousness

URL: https://www.psypost.org/mapping-the-deep-brain-hubs-that-sustain-human-consciousness/

Researchers have mapped deep brain regions that act as central communication hubs for the brain’s outer surface, identifying potential targets to help restore awareness in patients with severe brain injuries. The results reveal how specific areas in the brainstem and thalamus connect to multiple cognitive networks to maintain human wakefulness. The findings were published in Human Brain Mapping.

Human consciousness relies on a constant exchange of information between two main parts of the brain. The subcortex, which consists of deep structures near the brainstem, regulates basic arousal and wakefulness. The cerebral cortex, the wrinkled outer layer of the brain, handles higher-level awareness and conscious thought.

When a severe injury damages the pathways between these two areas, patients can fall into a coma or experience other disorders of consciousness. Medical therapies sometimes attempt to restart these dormant communication lines using electrical pulses, ultrasound waves, or targeted medications.

To make these treatments effective, scientists need to know exactly which deep brain regions to stimulate. The goal is to find central relay stations that connect to wide swathes of the cerebral cortex at once.

Morgan K. Cambareri, a researcher at Massachusetts General Hospital and Boston University, led a team to map these connections in healthy brains. Along with co-senior authors Jian Li and Brian L. Edlow and their colleagues, Cambareri sought to identify the specific deep brain nodes that are most integrated with surface-level cognitive networks.

The researchers analyzed brain scans from 168 healthy subjects. These scans were originally collected as part of the Human Connectome Project, a massive initiative designed to map the human brain.

The team used a specific type of imaging called 7 Tesla resting-state functional magnetic resonance imaging. Functional magnetic resonance imaging, or fMRI, tracks blood flow in the brain to measure which areas are active at any given moment. A 7 Tesla scanner uses an extremely powerful magnet, providing highly detailed images of brain structures. The resting-state designation means the subjects simply lay awake in the scanner without performing any specific mental tasks, allowing researchers to observe the brain’s natural baseline activity.

The researchers focused on six major networks located in the cerebral cortex. These included the default mode network (active during daydreaming and rest), the executive control network (involved in decision making), and the salience network (which detects urgent things in the environment). They also mapped the dorsal attention network, the visual network, and the somatomotor network, which handles movement and touch.

To trace how these cortical networks link back to the deep brain, the team used a mathematical tool called a tensor decomposition method. Traditional brain mapping tools often force different networks into rigid, non-overlapping boundaries. The method used in this study allows different functional networks to overlap in both space and time, providing a more realistic representation of human biology.

The researchers isolated the signals coming from the deep subcortex. They then superimposed the maps of the six cortical networks over the deep brain regions to see where they intersected. By doing this, they identified subcortical hubs. They defined a hub as a single physical location in the deep brain that synchronized with multiple different networks on the brain’s surface.

The team found highly connected hubs in regions that doctors have historically targeted to treat disorders of consciousness. For example, the ventral tegmental area in the midbrain was strongly linked to four different cortical networks.

They observed similar connectivity in the central lateral and parafascicular nuclei, which are specific clusters of nerve cells in the thalamus. The thalamus sits near the center of the brain and acts as a major relay station for sensory and motor signals.

Another major hub was located in the pontomesencephalic tegmentum, a region of the brainstem. This specific hub perfectly overlaps with areas that, when damaged by physical trauma, are known to cause comas in humans. This anatomical overlap provides strong evidence that this region is essential for maintaining consciousness.

The brainstem and thalamic hubs shared strong functional connections with both the default mode network and the salience network. This suggests these specific networks play a major role in how the deep brain signals the rest of the brain to wake up and pay attention.

The researchers also mapped whether the deep brain hubs were acting in sync with the surface networks (a positive correlation) or if they acted in opposition (an anticorrelation, where one area activates while the other quietens down). They found that many hubs had mixed relationships. For instance, a small region might activate in sync with the visual and attention networks but suppress activity in the default mode network.

In addition to the wakefulness centers, the team found widely connected hubs in regions typically associated with memory, emotion, and movement. These included the amygdala, the hippocampus, and parts of the basal ganglia like the putamen and caudate head.

One structure, the bed nucleus of the stria terminalis, was uniquely connected to all six of the studied cortical networks. It shared a positive correlation with four networks and an anticorrelation with two, acting as a highly integrated junction box.

While the study maps the functional relationships between brain regions, there are several caveats to consider. Functional MRI detects correlations in blood flow, but it does not track the actual direction of electrical signals. The researchers cannot tell if a deep brain hub is sending commands up to the cortex or if it is receiving instructions from the cortex.

A high level of connectivity does not inherently mean a brain region controls consciousness. The caudate head, for example, is widely connected to multiple cortical networks, but medical literature links it to behavior and cognition rather than basic wakefulness. The anatomical maps must be interpreted alongside previous clinical data to determine a region’s actual function.

The study also excluded the limbic network, a brain system heavily involved in emotion and memory. Excluding this network means the researchers might have missed additional hubs or underestimated the connectivity of certain regions.

Aligning the exact boundaries of tiny deep brain structures across 168 unique individuals is mathematically difficult. The researchers noted that small distortions can occur during data processing, especially in the brainstem, so the exact anatomical borders of these hubs carry a small margin of error.

Future research will need to combine functional imaging with direct electrical recordings of brain activity. Tracking electrical signals in real-time will allow scientists to see the exact millisecond a deep brain hub fires and determine whether that signal physically causes the rest of the brain to wake up.

The study, “Subcortical Hubs of Brain Networks Sustaining Human Consciousness,” was authored by Morgan K. Cambareri, Andreas Horn, Laura D. Lewis, Jian Li, and Brian L. Edlow.

URL: https://www.psypost.org/mapping-the-deep-brain-hubs-that-sustain-human-consciousness/

-------------------------------------------------

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

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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #ConsciousnessMapping #SubcorticalHubs #BrainNetworks #ThalamusConnections #BrainstemRelays #WakefulnessResearch #fMRI7T #DefaultModeNetwork #SalienceNetwork #CortexSubcortexCommunication

DATE: September 21, 2026 at 04:00PM
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: Mapping the relay stations of human consciousness

URL: https://www.psypost.org/mapping-the-deep-brain-hubs-that-sustain-human-consciousness/

Researchers have mapped deep brain regions that act as central communication hubs for the brain’s outer surface, identifying potential targets to help restore awareness in patients with severe brain injuries. The results reveal how specific areas in the brainstem and thalamus connect to multiple cognitive networks to maintain human wakefulness. The findings were published in Human Brain Mapping.

Human consciousness relies on a constant exchange of information between two main parts of the brain. The subcortex, which consists of deep structures near the brainstem, regulates basic arousal and wakefulness. The cerebral cortex, the wrinkled outer layer of the brain, handles higher-level awareness and conscious thought.

When a severe injury damages the pathways between these two areas, patients can fall into a coma or experience other disorders of consciousness. Medical therapies sometimes attempt to restart these dormant communication lines using electrical pulses, ultrasound waves, or targeted medications.

To make these treatments effective, scientists need to know exactly which deep brain regions to stimulate. The goal is to find central relay stations that connect to wide swathes of the cerebral cortex at once.

Morgan K. Cambareri, a researcher at Massachusetts General Hospital and Boston University, led a team to map these connections in healthy brains. Along with co-senior authors Jian Li and Brian L. Edlow and their colleagues, Cambareri sought to identify the specific deep brain nodes that are most integrated with surface-level cognitive networks.

The researchers analyzed brain scans from 168 healthy subjects. These scans were originally collected as part of the Human Connectome Project, a massive initiative designed to map the human brain.

The team used a specific type of imaging called 7 Tesla resting-state functional magnetic resonance imaging. Functional magnetic resonance imaging, or fMRI, tracks blood flow in the brain to measure which areas are active at any given moment. A 7 Tesla scanner uses an extremely powerful magnet, providing highly detailed images of brain structures. The resting-state designation means the subjects simply lay awake in the scanner without performing any specific mental tasks, allowing researchers to observe the brain’s natural baseline activity.

The researchers focused on six major networks located in the cerebral cortex. These included the default mode network (active during daydreaming and rest), the executive control network (involved in decision making), and the salience network (which detects urgent things in the environment). They also mapped the dorsal attention network, the visual network, and the somatomotor network, which handles movement and touch.

To trace how these cortical networks link back to the deep brain, the team used a mathematical tool called a tensor decomposition method. Traditional brain mapping tools often force different networks into rigid, non-overlapping boundaries. The method used in this study allows different functional networks to overlap in both space and time, providing a more realistic representation of human biology.

The researchers isolated the signals coming from the deep subcortex. They then superimposed the maps of the six cortical networks over the deep brain regions to see where they intersected. By doing this, they identified subcortical hubs. They defined a hub as a single physical location in the deep brain that synchronized with multiple different networks on the brain’s surface.

The team found highly connected hubs in regions that doctors have historically targeted to treat disorders of consciousness. For example, the ventral tegmental area in the midbrain was strongly linked to four different cortical networks.

They observed similar connectivity in the central lateral and parafascicular nuclei, which are specific clusters of nerve cells in the thalamus. The thalamus sits near the center of the brain and acts as a major relay station for sensory and motor signals.

Another major hub was located in the pontomesencephalic tegmentum, a region of the brainstem. This specific hub perfectly overlaps with areas that, when damaged by physical trauma, are known to cause comas in humans. This anatomical overlap provides strong evidence that this region is essential for maintaining consciousness.

The brainstem and thalamic hubs shared strong functional connections with both the default mode network and the salience network. This suggests these specific networks play a major role in how the deep brain signals the rest of the brain to wake up and pay attention.

The researchers also mapped whether the deep brain hubs were acting in sync with the surface networks (a positive correlation) or if they acted in opposition (an anticorrelation, where one area activates while the other quietens down). They found that many hubs had mixed relationships. For instance, a small region might activate in sync with the visual and attention networks but suppress activity in the default mode network.

In addition to the wakefulness centers, the team found widely connected hubs in regions typically associated with memory, emotion, and movement. These included the amygdala, the hippocampus, and parts of the basal ganglia like the putamen and caudate head.

One structure, the bed nucleus of the stria terminalis, was uniquely connected to all six of the studied cortical networks. It shared a positive correlation with four networks and an anticorrelation with two, acting as a highly integrated junction box.

While the study maps the functional relationships between brain regions, there are several caveats to consider. Functional MRI detects correlations in blood flow, but it does not track the actual direction of electrical signals. The researchers cannot tell if a deep brain hub is sending commands up to the cortex or if it is receiving instructions from the cortex.

A high level of connectivity does not inherently mean a brain region controls consciousness. The caudate head, for example, is widely connected to multiple cortical networks, but medical literature links it to behavior and cognition rather than basic wakefulness. The anatomical maps must be interpreted alongside previous clinical data to determine a region’s actual function.

The study also excluded the limbic network, a brain system heavily involved in emotion and memory. Excluding this network means the researchers might have missed additional hubs or underestimated the connectivity of certain regions.

Aligning the exact boundaries of tiny deep brain structures across 168 unique individuals is mathematically difficult. The researchers noted that small distortions can occur during data processing, especially in the brainstem, so the exact anatomical borders of these hubs carry a small margin of error.

Future research will need to combine functional imaging with direct electrical recordings of brain activity. Tracking electrical signals in real-time will allow scientists to see the exact millisecond a deep brain hub fires and determine whether that signal physically causes the rest of the brain to wake up.

The study, “Subcortical Hubs of Brain Networks Sustaining Human Consciousness,” was authored by Morgan K. Cambareri, Andreas Horn, Laura D. Lewis, Jian Li, and Brian L. Edlow.

URL: https://www.psypost.org/mapping-the-deep-brain-hubs-that-sustain-human-consciousness/

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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #ConsciousnessMapping #SubcorticalHubs #BrainNetworks #ThalamusConnections #BrainstemRelays #WakefulnessResearch #fMRI7T #DefaultModeNetwork #SalienceNetwork #CortexSubcortexCommunication

DATE: September 21, 2026 at 04:00PM
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: Mapping the relay stations of human consciousness

URL: https://www.psypost.org/mapping-the-deep-brain-hubs-that-sustain-human-consciousness/

Researchers have mapped deep brain regions that act as central communication hubs for the brain’s outer surface, identifying potential targets to help restore awareness in patients with severe brain injuries. The results reveal how specific areas in the brainstem and thalamus connect to multiple cognitive networks to maintain human wakefulness. The findings were published in Human Brain Mapping.

Human consciousness relies on a constant exchange of information between two main parts of the brain. The subcortex, which consists of deep structures near the brainstem, regulates basic arousal and wakefulness. The cerebral cortex, the wrinkled outer layer of the brain, handles higher-level awareness and conscious thought.

When a severe injury damages the pathways between these two areas, patients can fall into a coma or experience other disorders of consciousness. Medical therapies sometimes attempt to restart these dormant communication lines using electrical pulses, ultrasound waves, or targeted medications.

To make these treatments effective, scientists need to know exactly which deep brain regions to stimulate. The goal is to find central relay stations that connect to wide swathes of the cerebral cortex at once.

Morgan K. Cambareri, a researcher at Massachusetts General Hospital and Boston University, led a team to map these connections in healthy brains. Along with co-senior authors Jian Li and Brian L. Edlow and their colleagues, Cambareri sought to identify the specific deep brain nodes that are most integrated with surface-level cognitive networks.

The researchers analyzed brain scans from 168 healthy subjects. These scans were originally collected as part of the Human Connectome Project, a massive initiative designed to map the human brain.

The team used a specific type of imaging called 7 Tesla resting-state functional magnetic resonance imaging. Functional magnetic resonance imaging, or fMRI, tracks blood flow in the brain to measure which areas are active at any given moment. A 7 Tesla scanner uses an extremely powerful magnet, providing highly detailed images of brain structures. The resting-state designation means the subjects simply lay awake in the scanner without performing any specific mental tasks, allowing researchers to observe the brain’s natural baseline activity.

The researchers focused on six major networks located in the cerebral cortex. These included the default mode network (active during daydreaming and rest), the executive control network (involved in decision making), and the salience network (which detects urgent things in the environment). They also mapped the dorsal attention network, the visual network, and the somatomotor network, which handles movement and touch.

To trace how these cortical networks link back to the deep brain, the team used a mathematical tool called a tensor decomposition method. Traditional brain mapping tools often force different networks into rigid, non-overlapping boundaries. The method used in this study allows different functional networks to overlap in both space and time, providing a more realistic representation of human biology.

The researchers isolated the signals coming from the deep subcortex. They then superimposed the maps of the six cortical networks over the deep brain regions to see where they intersected. By doing this, they identified subcortical hubs. They defined a hub as a single physical location in the deep brain that synchronized with multiple different networks on the brain’s surface.

The team found highly connected hubs in regions that doctors have historically targeted to treat disorders of consciousness. For example, the ventral tegmental area in the midbrain was strongly linked to four different cortical networks.

They observed similar connectivity in the central lateral and parafascicular nuclei, which are specific clusters of nerve cells in the thalamus. The thalamus sits near the center of the brain and acts as a major relay station for sensory and motor signals.

Another major hub was located in the pontomesencephalic tegmentum, a region of the brainstem. This specific hub perfectly overlaps with areas that, when damaged by physical trauma, are known to cause comas in humans. This anatomical overlap provides strong evidence that this region is essential for maintaining consciousness.

The brainstem and thalamic hubs shared strong functional connections with both the default mode network and the salience network. This suggests these specific networks play a major role in how the deep brain signals the rest of the brain to wake up and pay attention.

The researchers also mapped whether the deep brain hubs were acting in sync with the surface networks (a positive correlation) or if they acted in opposition (an anticorrelation, where one area activates while the other quietens down). They found that many hubs had mixed relationships. For instance, a small region might activate in sync with the visual and attention networks but suppress activity in the default mode network.

In addition to the wakefulness centers, the team found widely connected hubs in regions typically associated with memory, emotion, and movement. These included the amygdala, the hippocampus, and parts of the basal ganglia like the putamen and caudate head.

One structure, the bed nucleus of the stria terminalis, was uniquely connected to all six of the studied cortical networks. It shared a positive correlation with four networks and an anticorrelation with two, acting as a highly integrated junction box.

While the study maps the functional relationships between brain regions, there are several caveats to consider. Functional MRI detects correlations in blood flow, but it does not track the actual direction of electrical signals. The researchers cannot tell if a deep brain hub is sending commands up to the cortex or if it is receiving instructions from the cortex.

A high level of connectivity does not inherently mean a brain region controls consciousness. The caudate head, for example, is widely connected to multiple cortical networks, but medical literature links it to behavior and cognition rather than basic wakefulness. The anatomical maps must be interpreted alongside previous clinical data to determine a region’s actual function.

The study also excluded the limbic network, a brain system heavily involved in emotion and memory. Excluding this network means the researchers might have missed additional hubs or underestimated the connectivity of certain regions.

Aligning the exact boundaries of tiny deep brain structures across 168 unique individuals is mathematically difficult. The researchers noted that small distortions can occur during data processing, especially in the brainstem, so the exact anatomical borders of these hubs carry a small margin of error.

Future research will need to combine functional imaging with direct electrical recordings of brain activity. Tracking electrical signals in real-time will allow scientists to see the exact millisecond a deep brain hub fires and determine whether that signal physically causes the rest of the brain to wake up.

The study, “Subcortical Hubs of Brain Networks Sustaining Human Consciousness,” was authored by Morgan K. Cambareri, Andreas Horn, Laura D. Lewis, Jian Li, and Brian L. Edlow.

URL: https://www.psypost.org/mapping-the-deep-brain-hubs-that-sustain-human-consciousness/

-------------------------------------------------

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Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #ConsciousnessMapping #SubcorticalHubs #BrainNetworks #ThalamusConnections #BrainstemRelays #WakefulnessResearch #fMRI7T #DefaultModeNetwork #SalienceNetwork #CortexSubcortexCommunication

DATE: September 21, 2026 at 04:00PM
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: Mapping the relay stations of human consciousness

URL: https://www.psypost.org/mapping-the-deep-brain-hubs-that-sustain-human-consciousness/

Researchers have mapped deep brain regions that act as central communication hubs for the brain’s outer surface, identifying potential targets to help restore awareness in patients with severe brain injuries. The results reveal how specific areas in the brainstem and thalamus connect to multiple cognitive networks to maintain human wakefulness. The findings were published in Human Brain Mapping.

Human consciousness relies on a constant exchange of information between two main parts of the brain. The subcortex, which consists of deep structures near the brainstem, regulates basic arousal and wakefulness. The cerebral cortex, the wrinkled outer layer of the brain, handles higher-level awareness and conscious thought.

When a severe injury damages the pathways between these two areas, patients can fall into a coma or experience other disorders of consciousness. Medical therapies sometimes attempt to restart these dormant communication lines using electrical pulses, ultrasound waves, or targeted medications.

To make these treatments effective, scientists need to know exactly which deep brain regions to stimulate. The goal is to find central relay stations that connect to wide swathes of the cerebral cortex at once.

Morgan K. Cambareri, a researcher at Massachusetts General Hospital and Boston University, led a team to map these connections in healthy brains. Along with co-senior authors Jian Li and Brian L. Edlow and their colleagues, Cambareri sought to identify the specific deep brain nodes that are most integrated with surface-level cognitive networks.

The researchers analyzed brain scans from 168 healthy subjects. These scans were originally collected as part of the Human Connectome Project, a massive initiative designed to map the human brain.

The team used a specific type of imaging called 7 Tesla resting-state functional magnetic resonance imaging. Functional magnetic resonance imaging, or fMRI, tracks blood flow in the brain to measure which areas are active at any given moment. A 7 Tesla scanner uses an extremely powerful magnet, providing highly detailed images of brain structures. The resting-state designation means the subjects simply lay awake in the scanner without performing any specific mental tasks, allowing researchers to observe the brain’s natural baseline activity.

The researchers focused on six major networks located in the cerebral cortex. These included the default mode network (active during daydreaming and rest), the executive control network (involved in decision making), and the salience network (which detects urgent things in the environment). They also mapped the dorsal attention network, the visual network, and the somatomotor network, which handles movement and touch.

To trace how these cortical networks link back to the deep brain, the team used a mathematical tool called a tensor decomposition method. Traditional brain mapping tools often force different networks into rigid, non-overlapping boundaries. The method used in this study allows different functional networks to overlap in both space and time, providing a more realistic representation of human biology.

The researchers isolated the signals coming from the deep subcortex. They then superimposed the maps of the six cortical networks over the deep brain regions to see where they intersected. By doing this, they identified subcortical hubs. They defined a hub as a single physical location in the deep brain that synchronized with multiple different networks on the brain’s surface.

The team found highly connected hubs in regions that doctors have historically targeted to treat disorders of consciousness. For example, the ventral tegmental area in the midbrain was strongly linked to four different cortical networks.

They observed similar connectivity in the central lateral and parafascicular nuclei, which are specific clusters of nerve cells in the thalamus. The thalamus sits near the center of the brain and acts as a major relay station for sensory and motor signals.

Another major hub was located in the pontomesencephalic tegmentum, a region of the brainstem. This specific hub perfectly overlaps with areas that, when damaged by physical trauma, are known to cause comas in humans. This anatomical overlap provides strong evidence that this region is essential for maintaining consciousness.

The brainstem and thalamic hubs shared strong functional connections with both the default mode network and the salience network. This suggests these specific networks play a major role in how the deep brain signals the rest of the brain to wake up and pay attention.

The researchers also mapped whether the deep brain hubs were acting in sync with the surface networks (a positive correlation) or if they acted in opposition (an anticorrelation, where one area activates while the other quietens down). They found that many hubs had mixed relationships. For instance, a small region might activate in sync with the visual and attention networks but suppress activity in the default mode network.

In addition to the wakefulness centers, the team found widely connected hubs in regions typically associated with memory, emotion, and movement. These included the amygdala, the hippocampus, and parts of the basal ganglia like the putamen and caudate head.

One structure, the bed nucleus of the stria terminalis, was uniquely connected to all six of the studied cortical networks. It shared a positive correlation with four networks and an anticorrelation with two, acting as a highly integrated junction box.

While the study maps the functional relationships between brain regions, there are several caveats to consider. Functional MRI detects correlations in blood flow, but it does not track the actual direction of electrical signals. The researchers cannot tell if a deep brain hub is sending commands up to the cortex or if it is receiving instructions from the cortex.

A high level of connectivity does not inherently mean a brain region controls consciousness. The caudate head, for example, is widely connected to multiple cortical networks, but medical literature links it to behavior and cognition rather than basic wakefulness. The anatomical maps must be interpreted alongside previous clinical data to determine a region’s actual function.

The study also excluded the limbic network, a brain system heavily involved in emotion and memory. Excluding this network means the researchers might have missed additional hubs or underestimated the connectivity of certain regions.

Aligning the exact boundaries of tiny deep brain structures across 168 unique individuals is mathematically difficult. The researchers noted that small distortions can occur during data processing, especially in the brainstem, so the exact anatomical borders of these hubs carry a small margin of error.

Future research will need to combine functional imaging with direct electrical recordings of brain activity. Tracking electrical signals in real-time will allow scientists to see the exact millisecond a deep brain hub fires and determine whether that signal physically causes the rest of the brain to wake up.

The study, “Subcortical Hubs of Brain Networks Sustaining Human Consciousness,” was authored by Morgan K. Cambareri, Andreas Horn, Laura D. Lewis, Jian Li, and Brian L. Edlow.

URL: https://www.psypost.org/mapping-the-deep-brain-hubs-that-sustain-human-consciousness/

-------------------------------------------------

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Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #ConsciousnessMapping #SubcorticalHubs #BrainNetworks #ThalamusConnections #BrainstemRelays #WakefulnessResearch #fMRI7T #DefaultModeNetwork #SalienceNetwork #CortexSubcortexCommunication

DATE: September 5, 2026 at 07:00AM
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 damage reveals how a specific region generates mind-wandering

URL: https://www.psypost.org/brain-damage-reveals-how-a-specific-region-generates-mind-wandering/

Damage to a specific area of the brain limits a person’s ability to let their mind wander, according to a small study. Researchers found that this frontal brain region is necessary for generating the internal thoughts and memories that pull our attention away from the present moment. The findings were published in the journal Neuropsychologia.

The human mind frequently detaches from the immediate environment to focus on internal matters, such as planning for the future or recalling past events. Psychologists refer to this phenomenon as stimulus-independent and task-unrelated thought. In everyday language, it is more commonly known as mind-wandering.

Brain imaging studies have linked mind-wandering to the default mode network. This is a group of interconnected brain regions that activate when a person is resting or engaged in internal mental processes. One specific region in this network is the ventromedial prefrontal cortex, an area located in the lower front of the brain.

Past research indicated that damage to the ventromedial prefrontal cortex reduces mind-wandering, but the exact mechanism remained elusive. Scientists debated whether this brain region actually generates the wandering thoughts, or if it simply allows a person to become aware that their mind has wandered. A team of researchers based in Italy, led by Elisa Ciaramelli of the University of Bologna, designed an experiment to test these competing ideas.

If the ventromedial prefrontal cortex only controls a person’s awareness of their thoughts, damage to the region would cause individuals to underreport all types of distractions. However, if the region is responsible for generating internal thoughts, patients would specifically lack mind-wandering while still noticing external distractions. The researchers recruited 42 participants for a small study to investigate this distinction.

The study sample included nine patients with localized damage to the ventromedial prefrontal cortex. The researchers also included a control group of 14 patients with brain damage in other areas, along with a second control group of 19 healthy adults.

In the first phase of the experiment, known as the standard condition, participants completed a repetitive attention task on a computer. They watched a screen and pressed a button every time a pattern of vertical lines appeared among frequent patterns of horizontal lines.

Roughly every 40 trials, the program paused and asked the participants to rate their attention. If participants reported that their attention had drifted away from the task, they had to categorize the nature of the distraction.

Participants noted whether their distraction was an internal thought, a thought related to the repetitive nature of the task itself, or an external distraction like a noise in the room. If they reported an internal thought, they also specified whether the mental image was focused on the past, the present, or the future.

The patients with damage to the ventromedial prefrontal cortex reported drastically fewer internal thoughts compared to both the healthy adults and the other brain-damaged patients. They specifically lacked wandering thoughts focused on the past and the future.

These patients experienced the same amount of task-related thoughts and external distractions as the other groups. This suggests that their brains could still lose focus on the main activity, but they lacked the internal mental content needed to drift into true mind-wandering.

In a separate phase of the experiment, called the cued condition, the researchers altered the repetitive line task. Random cue words like the word seaside occasionally appeared on the screen beneath the center fixation point.

These words were designed to act as subtle triggers for autobiographical memories and wandering thoughts. When the thought probes appeared in this version of the task, participants could report if their mind-wandering had been sparked by one of the specific cue words.

When provided with these external cues, patients with damage to the ventromedial prefrontal cortex still struggled to generate wandering thoughts. They reported fewer internal thoughts triggered by the cue words than the healthy adults did.

As in the first experiment, this reduction was isolated to internal mind-wandering. The patients continued to report typical levels of external distractions and thoughts regarding the test itself.

The combined results indicate that the ventromedial prefrontal cortex is necessary for the spontaneous construction of internal events. The researchers propose that without this brain region initiating personal memories and future projections, a person’s attention is less likely to turn inward.

This finding aligns with the idea that the ventromedial prefrontal cortex helps build the mental scenes that fuel our daydreams. Because the patients retained the ability to notice external distractions, their lack of mind-wandering cannot be explained by a general failure to monitor their own thoughts.

The small number of participants in the study limits the sensitivity of the statistical analysis, meaning subtle differences between the patient groups might have gone undetected. The study format also required participants to be self-aware enough to categorize their own thoughts when prompted by the computer.

Future research will need to measure instances where people spontaneously catch themselves daydreaming, rather than relying on external computer prompts. This would help researchers confirm that the reported lack of mind-wandering holds true across different methods of measuring human attention.

Researchers might also investigate how this specific type of brain damage impacts daily functioning. A reduced capacity for mind-wandering could limit a person’s ability to plan for the future, reflect on past experiences, and engage in creative problem solving.

The study, “vmPFC damage reduces mind-wandering, but not other classes of off-task thought,” was authored by Elisa Ciaramelli, Virginia Pollarini, Andrea Crisafulli, Alessia Ferretti, and Manila Vannucci.

URL: https://www.psypost.org/brain-damage-reveals-how-a-specific-region-generates-mind-wandering/

-------------------------------------------------

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-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #MindWandering #vmPFC #VentromedialPrefrontalCortex #BrainDamage #Neuroscience #DefaultModeNetwork #AutobiographicalMemory #InternalThoughts #FuturePlanning #CognitiveScience

DATE: September 5, 2026 at 07:00AM
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 damage reveals how a specific region generates mind-wandering

URL: https://www.psypost.org/brain-damage-reveals-how-a-specific-region-generates-mind-wandering/

Damage to a specific area of the brain limits a person’s ability to let their mind wander, according to a small study. Researchers found that this frontal brain region is necessary for generating the internal thoughts and memories that pull our attention away from the present moment. The findings were published in the journal Neuropsychologia.

The human mind frequently detaches from the immediate environment to focus on internal matters, such as planning for the future or recalling past events. Psychologists refer to this phenomenon as stimulus-independent and task-unrelated thought. In everyday language, it is more commonly known as mind-wandering.

Brain imaging studies have linked mind-wandering to the default mode network. This is a group of interconnected brain regions that activate when a person is resting or engaged in internal mental processes. One specific region in this network is the ventromedial prefrontal cortex, an area located in the lower front of the brain.

Past research indicated that damage to the ventromedial prefrontal cortex reduces mind-wandering, but the exact mechanism remained elusive. Scientists debated whether this brain region actually generates the wandering thoughts, or if it simply allows a person to become aware that their mind has wandered. A team of researchers based in Italy, led by Elisa Ciaramelli of the University of Bologna, designed an experiment to test these competing ideas.

If the ventromedial prefrontal cortex only controls a person’s awareness of their thoughts, damage to the region would cause individuals to underreport all types of distractions. However, if the region is responsible for generating internal thoughts, patients would specifically lack mind-wandering while still noticing external distractions. The researchers recruited 42 participants for a small study to investigate this distinction.

The study sample included nine patients with localized damage to the ventromedial prefrontal cortex. The researchers also included a control group of 14 patients with brain damage in other areas, along with a second control group of 19 healthy adults.

In the first phase of the experiment, known as the standard condition, participants completed a repetitive attention task on a computer. They watched a screen and pressed a button every time a pattern of vertical lines appeared among frequent patterns of horizontal lines.

Roughly every 40 trials, the program paused and asked the participants to rate their attention. If participants reported that their attention had drifted away from the task, they had to categorize the nature of the distraction.

Participants noted whether their distraction was an internal thought, a thought related to the repetitive nature of the task itself, or an external distraction like a noise in the room. If they reported an internal thought, they also specified whether the mental image was focused on the past, the present, or the future.

The patients with damage to the ventromedial prefrontal cortex reported drastically fewer internal thoughts compared to both the healthy adults and the other brain-damaged patients. They specifically lacked wandering thoughts focused on the past and the future.

These patients experienced the same amount of task-related thoughts and external distractions as the other groups. This suggests that their brains could still lose focus on the main activity, but they lacked the internal mental content needed to drift into true mind-wandering.

In a separate phase of the experiment, called the cued condition, the researchers altered the repetitive line task. Random cue words like the word seaside occasionally appeared on the screen beneath the center fixation point.

These words were designed to act as subtle triggers for autobiographical memories and wandering thoughts. When the thought probes appeared in this version of the task, participants could report if their mind-wandering had been sparked by one of the specific cue words.

When provided with these external cues, patients with damage to the ventromedial prefrontal cortex still struggled to generate wandering thoughts. They reported fewer internal thoughts triggered by the cue words than the healthy adults did.

As in the first experiment, this reduction was isolated to internal mind-wandering. The patients continued to report typical levels of external distractions and thoughts regarding the test itself.

The combined results indicate that the ventromedial prefrontal cortex is necessary for the spontaneous construction of internal events. The researchers propose that without this brain region initiating personal memories and future projections, a person’s attention is less likely to turn inward.

This finding aligns with the idea that the ventromedial prefrontal cortex helps build the mental scenes that fuel our daydreams. Because the patients retained the ability to notice external distractions, their lack of mind-wandering cannot be explained by a general failure to monitor their own thoughts.

The small number of participants in the study limits the sensitivity of the statistical analysis, meaning subtle differences between the patient groups might have gone undetected. The study format also required participants to be self-aware enough to categorize their own thoughts when prompted by the computer.

Future research will need to measure instances where people spontaneously catch themselves daydreaming, rather than relying on external computer prompts. This would help researchers confirm that the reported lack of mind-wandering holds true across different methods of measuring human attention.

Researchers might also investigate how this specific type of brain damage impacts daily functioning. A reduced capacity for mind-wandering could limit a person’s ability to plan for the future, reflect on past experiences, and engage in creative problem solving.

The study, “vmPFC damage reduces mind-wandering, but not other classes of off-task thought,” was authored by Elisa Ciaramelli, Virginia Pollarini, Andrea Crisafulli, Alessia Ferretti, and Manila Vannucci.

URL: https://www.psypost.org/brain-damage-reveals-how-a-specific-region-generates-mind-wandering/

-------------------------------------------------

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

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #MindWandering #vmPFC #VentromedialPrefrontalCortex #BrainDamage #Neuroscience #DefaultModeNetwork #AutobiographicalMemory #InternalThoughts #FuturePlanning #CognitiveScience

DATE: September 5, 2026 at 07:00AM
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 damage reveals how a specific region generates mind-wandering

URL: https://www.psypost.org/brain-damage-reveals-how-a-specific-region-generates-mind-wandering/

Damage to a specific area of the brain limits a person’s ability to let their mind wander, according to a small study. Researchers found that this frontal brain region is necessary for generating the internal thoughts and memories that pull our attention away from the present moment. The findings were published in the journal Neuropsychologia.

The human mind frequently detaches from the immediate environment to focus on internal matters, such as planning for the future or recalling past events. Psychologists refer to this phenomenon as stimulus-independent and task-unrelated thought. In everyday language, it is more commonly known as mind-wandering.

Brain imaging studies have linked mind-wandering to the default mode network. This is a group of interconnected brain regions that activate when a person is resting or engaged in internal mental processes. One specific region in this network is the ventromedial prefrontal cortex, an area located in the lower front of the brain.

Past research indicated that damage to the ventromedial prefrontal cortex reduces mind-wandering, but the exact mechanism remained elusive. Scientists debated whether this brain region actually generates the wandering thoughts, or if it simply allows a person to become aware that their mind has wandered. A team of researchers based in Italy, led by Elisa Ciaramelli of the University of Bologna, designed an experiment to test these competing ideas.

If the ventromedial prefrontal cortex only controls a person’s awareness of their thoughts, damage to the region would cause individuals to underreport all types of distractions. However, if the region is responsible for generating internal thoughts, patients would specifically lack mind-wandering while still noticing external distractions. The researchers recruited 42 participants for a small study to investigate this distinction.

The study sample included nine patients with localized damage to the ventromedial prefrontal cortex. The researchers also included a control group of 14 patients with brain damage in other areas, along with a second control group of 19 healthy adults.

In the first phase of the experiment, known as the standard condition, participants completed a repetitive attention task on a computer. They watched a screen and pressed a button every time a pattern of vertical lines appeared among frequent patterns of horizontal lines.

Roughly every 40 trials, the program paused and asked the participants to rate their attention. If participants reported that their attention had drifted away from the task, they had to categorize the nature of the distraction.

Participants noted whether their distraction was an internal thought, a thought related to the repetitive nature of the task itself, or an external distraction like a noise in the room. If they reported an internal thought, they also specified whether the mental image was focused on the past, the present, or the future.

The patients with damage to the ventromedial prefrontal cortex reported drastically fewer internal thoughts compared to both the healthy adults and the other brain-damaged patients. They specifically lacked wandering thoughts focused on the past and the future.

These patients experienced the same amount of task-related thoughts and external distractions as the other groups. This suggests that their brains could still lose focus on the main activity, but they lacked the internal mental content needed to drift into true mind-wandering.

In a separate phase of the experiment, called the cued condition, the researchers altered the repetitive line task. Random cue words like the word seaside occasionally appeared on the screen beneath the center fixation point.

These words were designed to act as subtle triggers for autobiographical memories and wandering thoughts. When the thought probes appeared in this version of the task, participants could report if their mind-wandering had been sparked by one of the specific cue words.

When provided with these external cues, patients with damage to the ventromedial prefrontal cortex still struggled to generate wandering thoughts. They reported fewer internal thoughts triggered by the cue words than the healthy adults did.

As in the first experiment, this reduction was isolated to internal mind-wandering. The patients continued to report typical levels of external distractions and thoughts regarding the test itself.

The combined results indicate that the ventromedial prefrontal cortex is necessary for the spontaneous construction of internal events. The researchers propose that without this brain region initiating personal memories and future projections, a person’s attention is less likely to turn inward.

This finding aligns with the idea that the ventromedial prefrontal cortex helps build the mental scenes that fuel our daydreams. Because the patients retained the ability to notice external distractions, their lack of mind-wandering cannot be explained by a general failure to monitor their own thoughts.

The small number of participants in the study limits the sensitivity of the statistical analysis, meaning subtle differences between the patient groups might have gone undetected. The study format also required participants to be self-aware enough to categorize their own thoughts when prompted by the computer.

Future research will need to measure instances where people spontaneously catch themselves daydreaming, rather than relying on external computer prompts. This would help researchers confirm that the reported lack of mind-wandering holds true across different methods of measuring human attention.

Researchers might also investigate how this specific type of brain damage impacts daily functioning. A reduced capacity for mind-wandering could limit a person’s ability to plan for the future, reflect on past experiences, and engage in creative problem solving.

The study, “vmPFC damage reduces mind-wandering, but not other classes of off-task thought,” was authored by Elisa Ciaramelli, Virginia Pollarini, Andrea Crisafulli, Alessia Ferretti, and Manila Vannucci.

URL: https://www.psypost.org/brain-damage-reveals-how-a-specific-region-generates-mind-wandering/

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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #MindWandering #vmPFC #VentromedialPrefrontalCortex #BrainDamage #Neuroscience #DefaultModeNetwork #AutobiographicalMemory #InternalThoughts #FuturePlanning #CognitiveScience

DATE: September 4, 2026 at 02:00PM
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: Treatment-resistant depression linked to reduced brain entropy

URL: https://www.psypost.org/brain-imaging-reveals-reduced-neural-complexity-in-treatment-resistant-depressio/

People who suffer from depression that does not respond to standard treatments may experience a loss of complexity in their resting brain activity. A recent brain imaging study found that patients with treatment-resistant depression display reduced neural entropy, meaning their brain signals are more rigid and less unpredictable than those of healthy individuals. The research, published in the Journal of Affective Disorders, suggests that system-wide reductions in brain flexibility could serve as a biological marker for this severe form of the illness.

Major depressive disorder is a chronic condition that ranks among the leading causes of disability worldwide. While many patients find relief through standard medications, a substantial portion do not. Treatment-resistant depression is typically diagnosed when a patient fails to achieve remission after at least two adequate trials of antidepressant therapy.

Individuals dealing with this form of depression often experience severe symptoms, including persistent low mood, an inability to feel pleasure, and cognitive difficulties. They also face a higher risk of relapse and suicidal thoughts. Understanding the biological mechanisms behind this resistance to treatment is a major goal for psychiatric research.

To explore these underlying mechanisms, researchers often look at brain entropy. In the context of neuroscience, entropy refers to the level of complexity, irregularity, and unpredictability in spontaneous brain signals. A healthy brain exhibits high entropy, which allows it to flexibly adapt to new information, process emotions, and perform cognitive tasks.

Conversely, lower brain entropy indicates a more constrained and stereotyped pattern of brain activity. Previous imaging studies have linked lower entropy to poorer emotional regulation and cognitive rigidity. However, the concept had not been extensively mapped in individuals specifically diagnosed with treatment-resistant depression.

A team of scientists based at Taipei Veterans General Hospital and National Yang Ming Chiao Tung University in Taiwan conducted the recent investigation. The study was led by researchers Wei-Chen Lin and Li-Kai Cheng, alongside senior author Mu-Hong Chen. They wanted to see if the severe clinical features of treatment-resistant depression were reflected in a loss of neural complexity across specific brain networks.

The researchers recruited 48 adults diagnosed with treatment-resistant depression and 38 healthy adults with no history of psychiatric disorders. The patients with depression had all failed to respond to at least three adequate courses of antidepressants, classifying their condition as moderately treatment-resistant. Both groups were matched in terms of age and sex distribution.

To measure brain entropy, all participants underwent resting-state functional magnetic resonance imaging. This type of brain scan tracks blood oxygenation levels in the brain over time. Because active brain regions require more oxygen, these fluctuating blood oxygen levels serve as a proxy for neural activity.

During the scans, participants were instructed to simply rest with their eyes closed, stay awake, and let their minds wander. This allowed the researchers to capture the brain’s spontaneous, baseline activity rather than its response to a specific task. The team then calculated the sample entropy of these brain signals across 166 distinct anatomical regions.

Sample entropy is a mathematical formula that quantifies how unpredictable a time series is. The researchers applied two different mathematical thresholds to their entropy calculations. One threshold was more permissive, designed to catch the most robust and pronounced drops in brain complexity. The other was more stringent, designed to detect subtle, widespread reductions in signal irregularity.

Using the more permissive threshold, the researchers found that patients with treatment-resistant depression exhibited lower brain entropy in three specific areas. These included the right angular gyrus, the left cerebellar Crus II, and the median raphe nucleus. The median raphe nucleus is located in the brainstem and serves as a major source of serotonin, a chemical messenger heavily involved in mood regulation. The right angular gyrus and cerebellar Crus II help integrate sensory information and support social and emotional processing.

When the researchers applied the more stringent threshold, they observed a much broader pattern of reduced entropy. The patients displayed lower neural complexity across 24 distinct brain regions compared to the healthy adults. This widespread reduction affected several large-scale brain systems, including the default mode network, the salience network, and the reward network. These systems collectively govern how humans process emotions, assign value to external stimuli, and navigate social environments.

Affected regions within these networks included the prefrontal cortex, which is associated with decision making and cognitive control. The researchers also saw reduced entropy in the thalamus, a central hub that relays sensory signals, and the nucleus accumbens, a key node in the brain’s reward circuitry. This extensive pattern suggests that treatment-resistant depression involves a global disruption of neural flexibility rather than an isolated defect in a single anatomical structure.

The researchers also looked for relationships between entropy levels and the severity of a patient’s treatment resistance. They noticed a preliminary trend in a specific part of the cerebellum where higher entropy correlated with more severe treatment resistance. The researchers suspect this might represent the brain attempting to compensate for dysfunction elsewhere, though the finding was not statistically significant after adjusting for multiple mathematical comparisons.

The study relied on a cross-sectional design, meaning the researchers observed the participants at a single point in time. Because of this, it is impossible to determine whether reduced brain entropy contributes to the development of treatment-resistant depression or if the prolonged illness causes the brain to lose its complexity. Tracking patients over several years could help clarify the direction of this relationship.

Another detail to consider is the use of medication among the study participants. All the patients with depression were taking antidepressants during the brain scans, and many were taking additional medications such as mood stabilizers or atypical antipsychotics. While this reflects the reality of treating severe depression, it leaves open the possibility that the medications themselves might influence the complexity of resting brain signals.

The research team also did not include a control group of patients whose depression responds well to standard treatments. Without this group, it is difficult to isolate which entropy reductions are unique to treatment resistance versus those that are common to depression in general. Future studies comparing treatment-resistant patients directly with treatment-responsive patients could highlight the specific biological signatures of treatment failure.

Finally, the researchers noted the need for accompanying cognitive and behavioral tests in future work. Incorporating detailed psychological assessments alongside brain scans would help connect the observed reductions in brain entropy to specific real-world challenges, such as memory deficits or emotional blunting.

The study, “Treatment-resistant depression is associated with reduced brain entropy,” was authored by Wei-Chen Lin, Li-Kai Cheng, Tung-Ping Su, Li-Fen Chen, Pei-Chi Tu, Cheng-Ta Li, Ya-Mei Bai, Shih-Jen Tsai, and Mu-Hong Chen.

URL: https://www.psypost.org/brain-imaging-reveals-reduced-neural-complexity-in-treatment-resistant-depressio/

-------------------------------------------------

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Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #TreatmentResistantDepression #BrainEntropy #Neuroscience #MentalHealthResearch #RestingStatefMRI #NeuralFlexibility #DepressionBiology #MoodDisorders #DefaultModeNetwork #SerotoninBrainSafety

DATE: September 4, 2026 at 02:00PM
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: Treatment-resistant depression linked to reduced brain entropy

URL: https://www.psypost.org/brain-imaging-reveals-reduced-neural-complexity-in-treatment-resistant-depressio/

People who suffer from depression that does not respond to standard treatments may experience a loss of complexity in their resting brain activity. A recent brain imaging study found that patients with treatment-resistant depression display reduced neural entropy, meaning their brain signals are more rigid and less unpredictable than those of healthy individuals. The research, published in the Journal of Affective Disorders, suggests that system-wide reductions in brain flexibility could serve as a biological marker for this severe form of the illness.

Major depressive disorder is a chronic condition that ranks among the leading causes of disability worldwide. While many patients find relief through standard medications, a substantial portion do not. Treatment-resistant depression is typically diagnosed when a patient fails to achieve remission after at least two adequate trials of antidepressant therapy.

Individuals dealing with this form of depression often experience severe symptoms, including persistent low mood, an inability to feel pleasure, and cognitive difficulties. They also face a higher risk of relapse and suicidal thoughts. Understanding the biological mechanisms behind this resistance to treatment is a major goal for psychiatric research.

To explore these underlying mechanisms, researchers often look at brain entropy. In the context of neuroscience, entropy refers to the level of complexity, irregularity, and unpredictability in spontaneous brain signals. A healthy brain exhibits high entropy, which allows it to flexibly adapt to new information, process emotions, and perform cognitive tasks.

Conversely, lower brain entropy indicates a more constrained and stereotyped pattern of brain activity. Previous imaging studies have linked lower entropy to poorer emotional regulation and cognitive rigidity. However, the concept had not been extensively mapped in individuals specifically diagnosed with treatment-resistant depression.

A team of scientists based at Taipei Veterans General Hospital and National Yang Ming Chiao Tung University in Taiwan conducted the recent investigation. The study was led by researchers Wei-Chen Lin and Li-Kai Cheng, alongside senior author Mu-Hong Chen. They wanted to see if the severe clinical features of treatment-resistant depression were reflected in a loss of neural complexity across specific brain networks.

The researchers recruited 48 adults diagnosed with treatment-resistant depression and 38 healthy adults with no history of psychiatric disorders. The patients with depression had all failed to respond to at least three adequate courses of antidepressants, classifying their condition as moderately treatment-resistant. Both groups were matched in terms of age and sex distribution.

To measure brain entropy, all participants underwent resting-state functional magnetic resonance imaging. This type of brain scan tracks blood oxygenation levels in the brain over time. Because active brain regions require more oxygen, these fluctuating blood oxygen levels serve as a proxy for neural activity.

During the scans, participants were instructed to simply rest with their eyes closed, stay awake, and let their minds wander. This allowed the researchers to capture the brain’s spontaneous, baseline activity rather than its response to a specific task. The team then calculated the sample entropy of these brain signals across 166 distinct anatomical regions.

Sample entropy is a mathematical formula that quantifies how unpredictable a time series is. The researchers applied two different mathematical thresholds to their entropy calculations. One threshold was more permissive, designed to catch the most robust and pronounced drops in brain complexity. The other was more stringent, designed to detect subtle, widespread reductions in signal irregularity.

Using the more permissive threshold, the researchers found that patients with treatment-resistant depression exhibited lower brain entropy in three specific areas. These included the right angular gyrus, the left cerebellar Crus II, and the median raphe nucleus. The median raphe nucleus is located in the brainstem and serves as a major source of serotonin, a chemical messenger heavily involved in mood regulation. The right angular gyrus and cerebellar Crus II help integrate sensory information and support social and emotional processing.

When the researchers applied the more stringent threshold, they observed a much broader pattern of reduced entropy. The patients displayed lower neural complexity across 24 distinct brain regions compared to the healthy adults. This widespread reduction affected several large-scale brain systems, including the default mode network, the salience network, and the reward network. These systems collectively govern how humans process emotions, assign value to external stimuli, and navigate social environments.

Affected regions within these networks included the prefrontal cortex, which is associated with decision making and cognitive control. The researchers also saw reduced entropy in the thalamus, a central hub that relays sensory signals, and the nucleus accumbens, a key node in the brain’s reward circuitry. This extensive pattern suggests that treatment-resistant depression involves a global disruption of neural flexibility rather than an isolated defect in a single anatomical structure.

The researchers also looked for relationships between entropy levels and the severity of a patient’s treatment resistance. They noticed a preliminary trend in a specific part of the cerebellum where higher entropy correlated with more severe treatment resistance. The researchers suspect this might represent the brain attempting to compensate for dysfunction elsewhere, though the finding was not statistically significant after adjusting for multiple mathematical comparisons.

The study relied on a cross-sectional design, meaning the researchers observed the participants at a single point in time. Because of this, it is impossible to determine whether reduced brain entropy contributes to the development of treatment-resistant depression or if the prolonged illness causes the brain to lose its complexity. Tracking patients over several years could help clarify the direction of this relationship.

Another detail to consider is the use of medication among the study participants. All the patients with depression were taking antidepressants during the brain scans, and many were taking additional medications such as mood stabilizers or atypical antipsychotics. While this reflects the reality of treating severe depression, it leaves open the possibility that the medications themselves might influence the complexity of resting brain signals.

The research team also did not include a control group of patients whose depression responds well to standard treatments. Without this group, it is difficult to isolate which entropy reductions are unique to treatment resistance versus those that are common to depression in general. Future studies comparing treatment-resistant patients directly with treatment-responsive patients could highlight the specific biological signatures of treatment failure.

Finally, the researchers noted the need for accompanying cognitive and behavioral tests in future work. Incorporating detailed psychological assessments alongside brain scans would help connect the observed reductions in brain entropy to specific real-world challenges, such as memory deficits or emotional blunting.

The study, “Treatment-resistant depression is associated with reduced brain entropy,” was authored by Wei-Chen Lin, Li-Kai Cheng, Tung-Ping Su, Li-Fen Chen, Pei-Chi Tu, Cheng-Ta Li, Ya-Mei Bai, Shih-Jen Tsai, and Mu-Hong Chen.

URL: https://www.psypost.org/brain-imaging-reveals-reduced-neural-complexity-in-treatment-resistant-depressio/

-------------------------------------------------

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

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #TreatmentResistantDepression #BrainEntropy #Neuroscience #MentalHealthResearch #RestingStatefMRI #NeuralFlexibility #DepressionBiology #MoodDisorders #DefaultModeNetwork #SerotoninBrainSafety

DATE: September 4, 2026 at 02:00PM
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: Treatment-resistant depression linked to reduced brain entropy

URL: https://www.psypost.org/brain-imaging-reveals-reduced-neural-complexity-in-treatment-resistant-depressio/

People who suffer from depression that does not respond to standard treatments may experience a loss of complexity in their resting brain activity. A recent brain imaging study found that patients with treatment-resistant depression display reduced neural entropy, meaning their brain signals are more rigid and less unpredictable than those of healthy individuals. The research, published in the Journal of Affective Disorders, suggests that system-wide reductions in brain flexibility could serve as a biological marker for this severe form of the illness.

Major depressive disorder is a chronic condition that ranks among the leading causes of disability worldwide. While many patients find relief through standard medications, a substantial portion do not. Treatment-resistant depression is typically diagnosed when a patient fails to achieve remission after at least two adequate trials of antidepressant therapy.

Individuals dealing with this form of depression often experience severe symptoms, including persistent low mood, an inability to feel pleasure, and cognitive difficulties. They also face a higher risk of relapse and suicidal thoughts. Understanding the biological mechanisms behind this resistance to treatment is a major goal for psychiatric research.

To explore these underlying mechanisms, researchers often look at brain entropy. In the context of neuroscience, entropy refers to the level of complexity, irregularity, and unpredictability in spontaneous brain signals. A healthy brain exhibits high entropy, which allows it to flexibly adapt to new information, process emotions, and perform cognitive tasks.

Conversely, lower brain entropy indicates a more constrained and stereotyped pattern of brain activity. Previous imaging studies have linked lower entropy to poorer emotional regulation and cognitive rigidity. However, the concept had not been extensively mapped in individuals specifically diagnosed with treatment-resistant depression.

A team of scientists based at Taipei Veterans General Hospital and National Yang Ming Chiao Tung University in Taiwan conducted the recent investigation. The study was led by researchers Wei-Chen Lin and Li-Kai Cheng, alongside senior author Mu-Hong Chen. They wanted to see if the severe clinical features of treatment-resistant depression were reflected in a loss of neural complexity across specific brain networks.

The researchers recruited 48 adults diagnosed with treatment-resistant depression and 38 healthy adults with no history of psychiatric disorders. The patients with depression had all failed to respond to at least three adequate courses of antidepressants, classifying their condition as moderately treatment-resistant. Both groups were matched in terms of age and sex distribution.

To measure brain entropy, all participants underwent resting-state functional magnetic resonance imaging. This type of brain scan tracks blood oxygenation levels in the brain over time. Because active brain regions require more oxygen, these fluctuating blood oxygen levels serve as a proxy for neural activity.

During the scans, participants were instructed to simply rest with their eyes closed, stay awake, and let their minds wander. This allowed the researchers to capture the brain’s spontaneous, baseline activity rather than its response to a specific task. The team then calculated the sample entropy of these brain signals across 166 distinct anatomical regions.

Sample entropy is a mathematical formula that quantifies how unpredictable a time series is. The researchers applied two different mathematical thresholds to their entropy calculations. One threshold was more permissive, designed to catch the most robust and pronounced drops in brain complexity. The other was more stringent, designed to detect subtle, widespread reductions in signal irregularity.

Using the more permissive threshold, the researchers found that patients with treatment-resistant depression exhibited lower brain entropy in three specific areas. These included the right angular gyrus, the left cerebellar Crus II, and the median raphe nucleus. The median raphe nucleus is located in the brainstem and serves as a major source of serotonin, a chemical messenger heavily involved in mood regulation. The right angular gyrus and cerebellar Crus II help integrate sensory information and support social and emotional processing.

When the researchers applied the more stringent threshold, they observed a much broader pattern of reduced entropy. The patients displayed lower neural complexity across 24 distinct brain regions compared to the healthy adults. This widespread reduction affected several large-scale brain systems, including the default mode network, the salience network, and the reward network. These systems collectively govern how humans process emotions, assign value to external stimuli, and navigate social environments.

Affected regions within these networks included the prefrontal cortex, which is associated with decision making and cognitive control. The researchers also saw reduced entropy in the thalamus, a central hub that relays sensory signals, and the nucleus accumbens, a key node in the brain’s reward circuitry. This extensive pattern suggests that treatment-resistant depression involves a global disruption of neural flexibility rather than an isolated defect in a single anatomical structure.

The researchers also looked for relationships between entropy levels and the severity of a patient’s treatment resistance. They noticed a preliminary trend in a specific part of the cerebellum where higher entropy correlated with more severe treatment resistance. The researchers suspect this might represent the brain attempting to compensate for dysfunction elsewhere, though the finding was not statistically significant after adjusting for multiple mathematical comparisons.

The study relied on a cross-sectional design, meaning the researchers observed the participants at a single point in time. Because of this, it is impossible to determine whether reduced brain entropy contributes to the development of treatment-resistant depression or if the prolonged illness causes the brain to lose its complexity. Tracking patients over several years could help clarify the direction of this relationship.

Another detail to consider is the use of medication among the study participants. All the patients with depression were taking antidepressants during the brain scans, and many were taking additional medications such as mood stabilizers or atypical antipsychotics. While this reflects the reality of treating severe depression, it leaves open the possibility that the medications themselves might influence the complexity of resting brain signals.

The research team also did not include a control group of patients whose depression responds well to standard treatments. Without this group, it is difficult to isolate which entropy reductions are unique to treatment resistance versus those that are common to depression in general. Future studies comparing treatment-resistant patients directly with treatment-responsive patients could highlight the specific biological signatures of treatment failure.

Finally, the researchers noted the need for accompanying cognitive and behavioral tests in future work. Incorporating detailed psychological assessments alongside brain scans would help connect the observed reductions in brain entropy to specific real-world challenges, such as memory deficits or emotional blunting.

The study, “Treatment-resistant depression is associated with reduced brain entropy,” was authored by Wei-Chen Lin, Li-Kai Cheng, Tung-Ping Su, Li-Fen Chen, Pei-Chi Tu, Cheng-Ta Li, Ya-Mei Bai, Shih-Jen Tsai, and Mu-Hong Chen.

URL: https://www.psypost.org/brain-imaging-reveals-reduced-neural-complexity-in-treatment-resistant-depressio/

-------------------------------------------------

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

-------------------------------------------------

#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #TreatmentResistantDepression #BrainEntropy #Neuroscience #MentalHealthResearch #RestingStatefMRI #NeuralFlexibility #DepressionBiology #MoodDisorders #DefaultModeNetwork #SerotoninBrainSafety

How your #brain co-creates #reality

⚡ Is your #mind just a #computer processing #data, or does your brain actively co-create your reality?

🎧 Tune in now to our latest episode on #Spotify and explore the #interdisciplinary search for #consciousness!

Link to the episode below 👇

https://open.spotify.com/episode/1g06DjGxre8c2hvb6yAaPi?si=IMUK-oK3QRGGGKXNjQisDg

#Neurophilosophy #PhilosophyOfMind #Neuroscience #Consciousness #DefaultModeNetwork #Embodiment #SciencePodcast #GeorgNorthoff #PhilippKlar #philosophies_de

How your #brain co-creates #reality

⚡ Is your #mind just a #computer processing #data, or does your brain actively co-create your reality?

🎧 Tune in now to our latest episode on #Spotify and explore the #interdisciplinary search for #consciousness!

Link to the episode below 👇

https://open.spotify.com/episode/1g06DjGxre8c2hvb6yAaPi?si=IMUK-oK3QRGGGKXNjQisDg

#Neurophilosophy #PhilosophyOfMind #Neuroscience #Consciousness #DefaultModeNetwork #Embodiment #SciencePodcast #GeorgNorthoff #PhilippKlar #philosophies_de

https://www.europesays.com/at/277694/ Zweite Schwangerschaft formt das Gehirn völlig anders als die erste #AT #Austria #DefaultModeNetwork #Gehirn #Gesundheit #GraueSubstanz #Health #MutterKindBindung #muttergehirn #Neuroplastizität #Österreich #wochenbettdepression #ZweiteSchwangerschaft

Scientists Say This 1 Vitamin May Protect Your Brain as You Age

This article contains affiliate links; if you click such a link and make a purchase, we may earn…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Health #AlexanderY.Zubkov #AmyDavis #defaultmodenetwork #graymatter #vitaminC
https://www.newsbeep.com/us/718251/

https://www.europesays.com/ie/532804/ The surprising benefit of vitamin C in old age #BloodPlasma #BrainHealth #BrainStructure #CognitiveDecline #CognitiveFunction #connectivity #DefaultModeNetwork #Éire #GrayMatter #Health #HirosakiUniversity #IE #Ireland #Nutrition #OlderAdults #VitaminC #VitaminCLevels #WhiteBrainMatter

https://www.europesays.com/ie/532171/ The surprising benefit of vitamin C in old age #BloodPlasma #BrainHealth #BrainStructure #CognitiveDecline #CognitiveFunction #connectivity #DefaultModeNetwork #Éire #GrayMatter #Health #HirosakiUniversity #IE #Ireland #Nutrition #OlderAdults #VitaminC #VitaminCLevels #WhiteBrainMatter

https://www.europesays.com/at/210744/ Plasma-Vitamin-C und Hirnnetzwerke: Studie verknüpft Werte mit grauer Substanz und DMN-Connectivity #AT #Austria #Biomarker #Brain #CohortStudy #Connectivity #DefaultModeNetwork #Gehirn #Geist #Gesundheit #GrayMatter #Health #Mri #Neurologie #Neuroscience #Neurowissenschaften #Österreich #OxidativeStress #Plasma #Spm #VitaminC

Robert Walser und das wandernde Bewusstsein

#DefaultModeNetwork #Kreativität #KünstlicheIntelligenz

Hier gibts Text und Denkwerkzeug: https://www.matthiaszehnder.ch/wochenkommentar/robert-walser-und-das-wandernde-bewusstsein/

Robert Walser und das wandernde Bewusstsein

#DefaultModeNetwork #Kreativität #KünstlicheIntelligenz

Hier gibts Text und Denkwerkzeug: https://www.matthiaszehnder.ch/wochenkommentar/robert-walser-und-das-wandernde-bewusstsein/

https://www.europesays.com/ie/505633/ Is the Dutch Art of Niksen the Answer to Our Modern Burnout Crisis? #boredom #BrainScience #burnout #creativity #DefaultModeNetwork #Éire #Health #IE #Ireland #MentalHealth #MentalHealth #Neuroscience #niksen #relaxation #Stress #wellbeing #WorkStress

https://www.europesays.com/es/549547/ Investigadores españoles detectan alteraciones cerebrales tempranas en adolescentes con trastorno límite de la personalidad | Líder en Información Social #Cibersam #DefaultModeNetwork #Discamedia #Discapacidad #ES #España #Fidmag #GermanesHospitalàries #Health #MarcFerrerVinardell #PilarSalgadoPineda #Salud #Sociedad #Spain #VallD’HebronInstitutoDeInvestigación

"Receiver-like regions, biased toward afferent input, show stronger heteromodal connectivity, whereas sender-like regions, biased toward efferent projections, show stronger coupling with distributed sensorimotor systems. This work offers an organizational framework linking DMN architecture with internal and external cognition, providing insight into flexible human thought."

#defaultModeNetwork #neuroscience #cognition #DMN

http://dx.doi.org/10.1073/pnas.2528851123

"Receiver-like regions, biased toward afferent input, show stronger heteromodal connectivity, whereas sender-like regions, biased toward efferent projections, show stronger coupling with distributed sensorimotor systems. This work offers an organizational framework linking DMN architecture with internal and external cognition, providing insight into flexible human thought."

#defaultModeNetwork #neuroscience #cognition #DMN

http://dx.doi.org/10.1073/pnas.2528851123

"Receiver-like regions, biased toward afferent input, show stronger heteromodal connectivity, whereas sender-like regions, biased toward efferent projections, show stronger coupling with distributed sensorimotor systems. This work offers an organizational framework linking DMN architecture with internal and external cognition, providing insight into flexible human thought."

#defaultModeNetwork #neuroscience #cognition #DMN

http://dx.doi.org/10.1073/pnas.2528851123

"Receiver-like regions, biased toward afferent input, show stronger heteromodal connectivity, whereas sender-like regions, biased toward efferent projections, show stronger coupling with distributed sensorimotor systems. This work offers an organizational framework linking DMN architecture with internal and external cognition, providing insight into flexible human thought."

#defaultModeNetwork #neuroscience #cognition #DMN

http://dx.doi.org/10.1073/pnas.2528851123

The #DefaultModeNetwork constructs our sense of continuous self through autobiographical narrative and self-referential processing. #Buddhist #meditation practices reduce #DMN activity, correlating with experiences of #anattā (#NonSelf). This convergence between #contemplative insight and #neuroscience reveals the constructed, dynamic nature of ego. Here's a brief overview:

🌍 https://www.fabriziomusacchio.com/weekend_stories/told/2025/2025-11-16-default_mode_network/

#WeekendStories #Buddhism

The #DefaultModeNetwork constructs our sense of continuous self through autobiographical narrative and self-referential processing. #Buddhist #meditation practices reduce #DMN activity, correlating with experiences of #anattā (#NonSelf). This convergence between #contemplative insight and #neuroscience reveals the constructed, dynamic nature of ego. Here's a brief overview:

🌍 https://www.fabriziomusacchio.com/weekend_stories/told/2025/2025-11-16-default_mode_network/

#WeekendStories #Buddhism

The #DefaultModeNetwork constructs our sense of continuous self through autobiographical narrative and self-referential processing. #Buddhist #meditation practices reduce #DMN activity, correlating with experiences of #anattā (#NonSelf). This convergence between #contemplative insight and #neuroscience reveals the constructed, dynamic nature of ego. Here's a brief overview:

🌍 https://www.fabriziomusacchio.com/weekend_stories/told/2025/2025-11-16-default_mode_network/

#WeekendStories #Buddhism

The #DefaultModeNetwork constructs our sense of continuous self through autobiographical narrative and self-referential processing. #Buddhist #meditation practices reduce #DMN activity, correlating with experiences of #anattā (#NonSelf). This convergence between #contemplative insight and #neuroscience reveals the constructed, dynamic nature of ego. Here's a brief overview:

🌍 https://www.fabriziomusacchio.com/weekend_stories/told/2025/2025-11-16-default_mode_network/

#WeekendStories #Buddhism

It’s the key to all things. #brain #defaultModeNetwork #bored

It’s the key to all things. #brain #defaultModeNetwork #bored

It’s the key to all things. #brain #defaultModeNetwork #bored

DefModNet is my jam.

#brain #defaultModeNetwork #bored
https://youtu.be/orQKfIXMiA8

DefModNet is my jam.

#brain #defaultModeNetwork #bored
https://youtu.be/orQKfIXMiA8

DefModNet is my jam.

#brain #defaultModeNetwork #bored
https://youtu.be/orQKfIXMiA8

Applying skills gained in one context to different situations enables efficient #learning, even from limited data. This Primer explores a @PLOSBiology study which shows that the #DefaultModeNetwork plays a key role in this ability. Paper: https://plos.io/41LOAWf Primer: https://plos.io/417aTpd

Applying skills gained in one context to different situations enables efficient #learning, even from limited data. This Primer explores a @PLOSBiology study which shows that the #DefaultModeNetwork plays a key role in this ability. Paper: https://plos.io/41LOAWf Primer: https://plos.io/417aTpd

Applying skills gained in one context to different situations enables efficient #learning, even from limited data. This Primer explores a @PLOSBiology study which shows that the #DefaultModeNetwork plays a key role in this ability. Paper: https://plos.io/41LOAWf Primer: https://plos.io/417aTpd

Unlocking the Brain’s Social Circuitry: Self, Memory, and Empathy

#Neuroscience #BrainScience #DefaultModeNetwork #SelfAwareness #Empathy #SocialCognition #MirrorNeurons #Memory #MentalHealth #BrainConnectivity #SelfReflection #SocialNeuroscience #MindAndBrain #Neuropsychology #UnderstandingOthers

https://youtube.com/shorts/lhLpcmV7B4U?feature=share

Unlocking the Brain’s Social Circuitry: Self, Memory, and Empathy

#Neuroscience #BrainScience #DefaultModeNetwork #SelfAwareness #Empathy #SocialCognition #MirrorNeurons #Memory #MentalHealth #BrainConnectivity #SelfReflection #SocialNeuroscience #MindAndBrain #Neuropsychology #UnderstandingOthers

https://youtube.com/shorts/lhLpcmV7B4U?feature=share

How Brain Circuits Influence Mood, Behavior, and Social Skills

#BrainCircuits #Neuroscience #MentalHealth #BrainNetworks #EmotionAndDecision #DefaultModeNetwork #BasalGanglia #LimbicSystem #Neurobiology #CognitiveScience

https://youtube.com/shorts/OQ_sy3WfFG8?feature=share

How Brain Circuits Influence Mood, Behavior, and Social Skills

#BrainCircuits #Neuroscience #MentalHealth #BrainNetworks #EmotionAndDecision #DefaultModeNetwork #BasalGanglia #LimbicSystem #Neurobiology #CognitiveScience

https://youtube.com/shorts/OQ_sy3WfFG8?feature=share

Journey into the Mind: How Brain Networks Enable Thought, Emotion, and Social Life

#BrainScience #Neuroscience #PrefrontalCortex #DefaultModeNetwork #SelfReflection #Memory #SocialCognition #BrainHealth #Neuroplasticity #MentalWellness #Neurochemistry #StressAndBrain #CognitiveScience #BrainConnections #MindAndBrain

https://youtube.com/shorts/rMO3K_97PCY?feature=share

Journey into the Mind: How Brain Networks Enable Thought, Emotion, and Social Life

#BrainScience #Neuroscience #PrefrontalCortex #DefaultModeNetwork #SelfReflection #Memory #SocialCognition #BrainHealth #Neuroplasticity #MentalWellness #Neurochemistry #StressAndBrain #CognitiveScience #BrainConnections #MindAndBrain

https://youtube.com/shorts/rMO3K_97PCY?feature=share

A prospective study on EEG default mode network associated with subsequent posttraumatic stress disorder following sexual assault (Park, et al, 2024) https://www.sciencedirect.com/science/article/abs/pii/S002239562400205X #ptsd #neuroscience #mentalhealth #DefaultModeNetwork

https://www.quantamagazine.org/what-your-brain-is-doing-when-youre-not-doing-anything-20240205/ https://youtu.be/yESSv7OgCv0 #DefaultModeNetwork #dmn #neuroscience #consciousness #psychedelics #psilocybin #psychedelic #ketamine #brains #mentalhealth

Default-Mode-Network: Wie du deine Kreativität durch Duschen ankurbeln kannst
https://t3n.de/news/default-mode-network-kreativitaet-duschen-1525942/ #DefaultModeNetwork #DMN #Kreativität #Duschen

Low family income linked to altered patterns of brain connectivity in children
https://www.msn.com/en-gb/health/other/low-family-income-linked-to-altered-patterns-of-brain-connectivity-in-children/ar-BB1kn7wC?cvid=96ace574ca754656fd2efd51e6b6d25a&ocid=winp2fptaskbarhover&ei=8

#LowIncome
#SocioeconomicStatus
#Brain
#BrainConnectivity
#Poverty
#AdolescentBrainCognitiveDevelopmentStudy
#fMRI
#FunctionalMagneticResonance
#DefaultModeNetwork
#DMN

Well this explains a lot.

https://www.frontiersin.org/articles/10.3389/fnbeh.2023.1176382

#adhd #coffee #DefaultModeNetwork