#brainnetworks — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #brainnetworks, aggregated by home.social.
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DATE: August 21, 2026 at 09:00AM
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: New study shed light on how estradiol influences memory networks in middle-aged women
New research published in Brain Imaging and Behavior suggests that estradiol, a primary form of estrogen, influences how different areas of the brain communicate during memory tasks in middle-aged women. The findings provide evidence that higher levels of this hormone tend to allow for more efficient brain connectivity when recalling information. This research offers insights into how hormonal shifts might shape cognitive changes during the transition to menopause.
Midlife in women involves a major hormonal transition known as perimenopause, which leads up to menopause. During this period, the body experiences dropping levels of estradiol, which is the most potent and abundant form of estrogen in the human body before menopause. Because estradiol interacts directly with the nervous system, this decrease often coincides with temporary changes in mood, behavior, and memory functioning.
Scientists aim to understand why some individuals experience persistent memory difficulties as they age, whereas others maintain their cognitive performance. “Menopause is an important neuroendocrine transition and with decades of life left to live after the transition it is important to understand how the brain adapts during this time,” said Abigail Testo, a postdoctoral associate in the Department of Psychiatry at the University of Vermont’s Larner College of Medicine.
Testo co-authored the study with Julie Dumas, a professor and vice chair in the same department. “We hoped with this research to add to the growing body of work being done to better understand how menopause contributes to normal or pathological aging,” Testo said.
A specific area of interest is episodic memory. This type of memory is the brain’s ability to recall specific past events or experiences, such as remembering a person’s name or recalling what happened yesterday.
To explore these individual differences, Testo and Dumas examined how estradiol levels relate to functional connectivity in the brain. Functional connectivity refers to the way distinct brain regions share signals and work together to perform specific tasks. Previous work indicates that estradiol plays a role in regulating these brain networks, but its exact influence during different stages of memory processing remains largely unexplored. The researchers aimed to see how estradiol levels affect the flow of information between brain regions when women encode new memories and when they recall them.
The researchers analyzed data from the Human Connectome Project Aging, a large database designed to track healthy brain aging. They looked specifically at 150 female participants between the ages of 40 and 55. This specific age range allowed the scientists to capture a wide spectrum of estradiol levels, as the group included women who were premenopausal, perimenopausal, and postmenopausal.
To measure hormone levels, medical technicians collected blood samples from the participants after an eight-hour fast. The average estradiol level among the participants was about 83 picograms per milliliter. On the same day, the women underwent functional magnetic resonance imaging, or fMRI. This imaging technique uses powerful magnetic fields to track blood flow in the brain, identifying which specific areas are active during different mental tasks.
During the brain scan, participants completed an episodic memory test called the Face-Name Encoding Task. In the first phase, called encoding, the women viewed faces paired with names and were asked to memorize them. After a brief distractor task, the recall phase began. During this stage, the same faces appeared without names, and the participants had to silently recall the correct names and press a button if they remembered them.
Following the scanning session, researchers tested the participants’ actual memory performance. They asked the women to match the correct names to ten of the faces they had just seen. Overall, the women performed quite well on this cognitive assessment. They correctly identified an average of about 7.5 out of 10 face-name pairs.
To analyze the brain imaging data, Testo and Dumas looked at the functional connections among 132 different regions of the brain. They also controlled for the age of the participants to ensure that chronological aging did not skew the hormonal data. They found five specific brain connections that were associated with estradiol levels during the recall phase of the memory task.
Specifically, higher levels of estradiol were linked to negative functional associations, meaning a decrease in synchronized activity, between certain brain areas. These decreased connections occurred between the left superior frontal gyrus and the brain stem, as well as between the right anterior middle temporal gyrus and the right posterior superior temporal gyrus. The frontal and temporal regions of the brain are well known for supporting human memory functions.
The authors suggest that the lower connectivity seen at higher estradiol levels might represent increased neural efficiency. In other words, with plenty of estradiol available, the brain might not need to work as hard or recruit as many strong connections to successfully recall the required information.
Despite the overall association between estradiol and brain connectivity, the researchers noted an unexpected detail regarding the specific menopausal stages. “We were surprised to find that these brain associations with estradiol levels were not found for women who were perimenopausal,” Testo said. “The reason this was a surprise is because perimenopause is a time with a lot of hormone variability and we thought that variability would lead to greater associations with brain functioning.”
Interestingly, the scientists found no statistically significant relationship between estradiol levels and brain connectivity during the initial encoding phase. This suggests that the hormone’s role differs depending on whether a person is actively learning new information or trying to access a stored memory. The researchers also found no statistically significant correlation between a participant’s estradiol levels and how well they actually scored on the memory test outside the scanner.
It is easy to misinterpret these brain connectivity differences as a direct indicator of everyday memory loss. Because the participants in this sample scored very high on the memory test, the data cannot establish if these specific brain connectivity patterns translate to noticeable memory deficits.
“While estradiol was associated with differences in functional association strengths, it was not similarly associated with differences in memory performance,” Testo explained. “For this reason, we can’t say if the identified functional associations are inherently good or bad for brain functioning.”
Still, the findings point to a lasting biological relationship. “Estradiol likely plays a role in brain functioning throughout the aging process, even after the reproductive period has ended,” Testo noted.
The study relies on a cross-sectional design, meaning it captures a single snapshot in time rather than tracking the same women over several years. This prevents drawing causal conclusions about an individual’s dropping estrogen levels directly causing the observed brain changes. People naturally have individual differences in their brain networks. Observing the exact same participants as they transition through menopause would provide stronger evidence of how hormonal changes alter brain function over time.
The scientists plan to address this gap in the future. “Future HCP-A releases (the dataset utilized in this study) will include longitudinal data,” Testo said. “It would be interesting to revisit this investigation as participants age and estradiol levels continue to fluctuate and decline.”
Future studies may also benefit from observing how other hormones that fluctuate during midlife interact with these brain networks. Hormones like progesterone also drop off after menopause, and observing their interaction with estradiol could offer a better biological picture.
Some participants in the current study used hormonal medications, which could influence brain connectivity differently than naturally produced hormones. Exploring the distinct effects of prescribed hormones versus natural hormones could offer a more detailed picture of cognitive aging in women.
The study, “Estradiol modulated brain connectivity in females during midlife performing an episodic memory task,” was authored by Abigail A. Testo and Julie A. Dumas.
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #EstradiolMemoryConnectivity #MidlifeCognition #MenopauseAndMemory #EpisodicMemory #BrainNetworks #FemaleBrainResearch #HormonesAndMemory #FunctionalConnectivity #MemoryEncodingRecall #BrainImagingStudy
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DATE: August 19, 2026 at 08:38PM
SOURCE: SCIENCE DAILY PSYCHOLOGY FEEDTITLE: Researchers reveal deeper workings of brain’s information hub
URL: https://www.sciencedaily.com/releases/2026/08/260819041224.htm
The brain has a remarkably flexible system for handling uncertainty and changing situations. Researchers found that the frontoparietal cortex constantly shifts how it communicates with other brain regions depending on what information is needed to make a decision. Rather than simply becoming more active when things get difficult, this network appears to reorganize itself in real time.
URL: https://www.sciencedaily.com/releases/2026/08/260819041224.htm
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainResearch #FrontoparietalCortex #Neuroscience #DecisionMaking #Uncertainty #BrainNetworks #CognitiveFlexibility #NeuralCommunication #BrainConnectivity #NeuroscienceNews
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DATE: August 19, 2026 at 08:38PM
SOURCE: SCIENCE DAILY PSYCHIATIRY FEEDTITLE: Researchers reveal deeper workings of brain’s information hub
URL: https://www.sciencedaily.com/releases/2026/08/260819041224.htm
The brain has a remarkably flexible system for handling uncertainty and changing situations. Researchers found that the frontoparietal cortex constantly shifts how it communicates with other brain regions depending on what information is needed to make a decision. Rather than simply becoming more active when things get difficult, this network appears to reorganize itself in real time.
URL: https://www.sciencedaily.com/releases/2026/08/260819041224.htm
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BrainResearch #FrontoparietalCortex #DecisionMaking #Neuroscience #BrainNetworks #UncertaintyProcessing #CognitiveFlexibility #NeuralConnectivity #BrainImaging #NeuroscienceNews
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DATE: August 17, 2026 at 06:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Brain scans reveal two distinct biological profiles of migraine
URL: https://www.psypost.org/brain-scans-reveal-two-distinct-biological-profiles-of-migraine/
A recent analysis of brain scans has revealed that people who experience migraines can be grouped into two distinct biological categories. These categories are based on how the brain is wired and physically structured, offering a new way to understand the disorder beyond traditional symptom checklists. The findings were published in the journal Cephalalgia.
Migraine is a neurological condition that causes severe head pain, sensitivity to light, and other debilitating symptoms. Doctors currently classify the disorder based on how often attacks occur and whether a patient experiences an aura, which refers to visual or sensory disturbances preceding the headache. This symptom-based approach, outlined in the International Classification of Headache Disorders, often fails to predict which treatments will work best for individual patients.
The biological differences between people with migraines remain largely unmapped. Researchers suspect that categorizing patients based on brain biology, rather than just symptom frequency, might eventually improve treatment strategies. Stanford University researchers Jaiashre Sridhar and Danielle D. DeSouza led a team to investigate whether patterns in brain imaging could identify hidden biological subgroups.
To do this, the research team used two types of magnetic resonance imaging, or MRI. Structural MRI measures the physical dimensions of the brain, such as the volume and thickness of the outer layer known as the cerebral cortex, as well as deeper subcortical structures. Functional MRI tracks blood flow to observe how different brain regions communicate when a person is at rest, a metric called functional connectivity.
The researchers first analyzed combined structural and functional brain scan data from 111 individuals with migraines and 51 healthy controls. They used a mathematical algorithm to simplify the massive amount of data and group the patients based on shared biological patterns. This exploratory approach was designed to let the data dictate the groups rather than relying on prior clinical labels.
This combined analysis identified two biological subgroups with distinct brain profiles and clinical experiences. One group tended to be older, had lived with migraines longer, and reported higher levels of daily disability. This higher-burden group also experienced longer individual headache durations and lower confidence in their ability to manage pain.
In this higher-burden group, functional MRI scans showed elevated connectivity between deeper brain structures and cortical networks responsible for attention, movement, and visual processing. Structurally, these individuals also exhibited reduced brain volume across several cortical regions, including the frontal, parietal, and temporal lobes, compared with the other subgroup. Many of these heightened functional connections were also elevated relative to the healthy control group.
The second subgroup presented a milder biological profile. Their brain structure was largely preserved in comparison to the first group. Their functional connectivity patterns and brain volumes were not statistically significant when compared to the healthy control group.
After identifying the combined groups, the researchers conducted a secondary analysis using only the functional connectivity data. They applied the same mathematical grouping process to see how the patients would cluster based solely on how different brain regions communicate.
This functional-only model produced two subgroups that closely matched the groups found in the initial combined analysis. Patients with higher clinical burden again clustered together, exhibiting similar patterns of elevated brain connectivity. When grouped this way, the resulting clusters did not display any differences in brain structure, indicating that functional connectivity drove most of the initial subgroupings.
Next, the team ran a third clustering model using exclusively structural MRI data. They grouped the same patients based entirely on the thickness and volume of their brain tissue.
This structural-only analysis generated two entirely different patient clusters that had almost no overlap with the groups formed by the combined or functional data. While these two new groups showed widespread differences in brain volume, they exhibited no differences in functional connectivity. This divergence indicates that structural variations represent a completely separate dimension of migraine biology than functional variations.
To verify the stability of their findings, the researchers performed a final sensitivity analysis. Instead of looking at broad functional networks, they repeated the combined analysis using a much more detailed map that divided the brain into over a hundred smaller, specific regions.
The results of this fine-grained analysis strongly mirrored the original combined model. Between 90 and 95 percent of the participants were assigned to the exact same subgroups as before. This consistency suggests that the biological groups are robust, regardless of the scale used to map the brain.
While these biological groupings provide a new perspective on migraines, the research relies on data collected at a single point in time. It is not possible to know whether prolonged migraines alter the brain over the years, or if these brain differences exist first and influence how the condition develops. The clinical differences between the two subgroups were also relatively subtle, and the groups did not align with traditional categories like chronic or episodic migraine.
The researchers noted that this was a modestly sized study, meaning the results will need to be verified in larger populations. The study also did not track the exact phase of the patients’ migraine cycle during the brain scans, such as whether they were actively having a migraine or in a resting phase. Additionally, the researchers did not account for all preventive medications the participants might have been taking at the time.
Future research will need to track larger groups of patients over extended periods to see how these biological profiles evolve and whether they can eventually guide medical care.
The study, “Neuroimaging-based subtyping of migraine identifies clinically distinct phenotypes,” was authored by Jaiashre Sridhar, Mahsa Babaei, Bharati M. Sanjanwala, Robert P. Cowan, and Danielle D. DeSouza.
URL: https://www.psypost.org/brain-scans-reveal-two-distinct-biological-profiles-of-migraine/
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #MigraineBiology #Neuroimaging #BrainConnectivity #StructuralFunctionalMRI #MigraineSubtypes #CephalalgiaStudy #BrainNetworks #PersonalizedMedicine #NeurologyResearch #MigrainePhenotypes
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DATE: August 6, 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: ADHD medication helps children focus by stabilizing brain networks, new study suggests
URL: https://www.psypost.org/adhd-medication-helps-children-focus-by-stabilizing-brain-networks/
A small study shows that a common medication for attention deficit hyperactivity disorder helps children focus by stabilizing how different brain regions communicate with one another. The research, published in Translational Psychiatry, suggests that this brain stabilization is tied directly to better attention and task performance.
The brain constantly balances two opposing states, known as flexibility and stability. Flexibility allows a person to easily switch between different tasks or thoughts. Stability allows a person to ignore distractions and maintain focus on a single goal.
Children with attention deficit hyperactivity disorder, or ADHD, often struggle to maintain this balance. Their brain networks tend to change connections more rapidly. This frequent shifting can manifest as fluctuating attention, impulsive actions, and heightened sensitivity to rewards.
Foundational models of the disorder suggest that these symptoms arise from disruptions in specific neurological circuits. One circuit orients attention through executive control, while another tunes sensitivity to rewards through motivational control. Because these disruptions are widespread across multiple brain systems, looking at how the entire brain communicates is necessary to understand the condition.
Methylphenidate is a common first-line treatment for the disorder. The drug works by blocking the reuptake of dopamine and norepinephrine, which increases the levels of these chemical messengers in the brain. Dopamine and norepinephrine help regulate attention, executive control, and motivation.
The medication effectively reduces symptoms for many children, but up to 30 percent of patients do not experience improvements. A better understanding of how the drug alters brain function on a mechanical level is necessary to explain this variation in effectiveness.
Tehila Nugiel, a psychology researcher at Florida State University, led a team to investigate how methylphenidate influences the balance of brain flexibility and stability. The researchers suspected that the medication might reduce the rapid shifting of brain network connections, driving the brain into a more stable state.
Historically, researchers looked at brain connectivity by averaging activity over several minutes. Newer mathematical methods allow scientists to model how these networks reconfigure on a second-by-second basis. This high-resolution timeline is better suited for capturing the fleeting shifts in focus that characterize the disorder.
To test their hypothesis, the researchers designed a small study involving 31 children between the ages of 8 and 12 who had been diagnosed with ADHD. None of the participants had ever taken stimulant medication before.
Each child visited a laboratory for two separate brain scanning sessions, spaced about a week apart. One hour before entering the magnetic resonance imaging, or MRI, scanner, the children received either a single dose of methylphenidate or a placebo pill. Neither the researchers nor the children knew which pill was given on which day.
Inside the scanner, the children completed a standard test of sustained attention and impulse control. They viewed a series of sports balls on a screen and were instructed to press a button for certain balls and withhold their press for others. This tests a person’s ability to maintain focus without any external incentives.
After the standard version, the children completed a rewarded version of the same task. In this round, they saw feedback after each image, earning pennies for fast, correct responses and for correctly withholding a button press. The rewarded task tests how the brain adapts when performance is tied to an immediate, tangible benefit.
While the children completed these tasks, the researchers recorded their brain activity. Functional MRI tracks blood oxygen changes in the brain, allowing scientists to see which areas are communicating at any given moment. The researchers calculated whole brain flexibility, which measures how frequently different regions of the brain change their functional connections over short timescales.
The researchers also tracked behavioral performance during the scanning sessions. They measured response time variability, which indicates fluctuations in attention, and overall task accuracy.
When the children took methylphenidate, their whole brain flexibility decreased during both tasks. The connection patterns between different brain regions became more stable and persisted for longer periods of time.
This stabilization in the brain matched improvements in behavior. On the medication, the children displayed steadier attention, meaning their response times were less erratic on both tasks. They also achieved higher overall accuracy during the rewarded task.
To understand how the drug affected each child personally, the researchers compared the change in brain activity to the change in test scores. They found a direct relationship between the neural changes and the behavioral improvements. The individuals who experienced the largest decreases in brain flexibility on the medication also showed the greatest improvements in steady attention and accuracy.
These findings provide a biological explanation for how the medication aids cognition. By stabilizing whole brain network dynamics, the drug appears to reduce the neurological noise that often disrupts focus.
There are a few caveats to consider regarding the study design. The experiment involved a single dose of medication given to children who had never taken stimulants. Chronic use of the drug over months or years might alter brain network dynamics differently than an acute dose.
Additionally, the tests performed inside an MRI scanner isolate very specific cognitive processes. These controlled tasks do not perfectly mimic the complicated, distracting environments that children navigate in their daily lives.
The results also highlight notable individual differences among the participants. While the medication stabilized the brain and improved performance for most of the children, a small subset experienced the opposite effect. For these children, the drug increased brain flexibility and led to poorer task performance.
This variation offers a potential clue as to why stimulants fail to reduce symptoms in some individuals. Future research involving larger groups of participants could help scientists predict which patients will benefit from the medication and which might respond better to alternative treatments.
The study, “Methylphenidate stabilizes dynamic brain network organization during tasks probing attention and reward processing in stimulant-naïve children with ADHD,” was authored by Tehila Nugiel, Nicholas D. Fogleman, Monica G. Lyons, Margaret A. Sheridan, and Jessica R. Cohen.
URL: https://www.psypost.org/adhd-medication-helps-children-focus-by-stabilizing-brain-networks/
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #ADHD #Methylphenidate #BrainNetworks #AttentionFocus #Neuroscience # ADHDResearch #StimulantMedication #ExecutiveFunction #RewardProcessing #Neuroimaging
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RE: https://mastodon.social/@theperpetuallycurious8/116134424562123360
⚡ Every feeling begins as a pattern of activity across billions of cells. Neurons spark in rapid rhythms while glial partners help steady and shape the flow. Joy, fear, awe, and grief rise from this living network, always in motion.
✍️ Full article: https://TPC8.short.gy/oZn2jpVg
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🧠 New paper by Huang et al.: By using #pharmacological #fMRI and dynamic #connectome-based #PredictiveModeling, they show how #cortisol reshapes whole-brain #NetworkDynamics during emotional memory encoding. Trial-level analyses reveal distinct but increasingly integrated #arousal and #memory networks under #stress, supporting a hormonally driven "memory formation mode".
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I’m excited to share that our article has been published: “Brain Topology Disruption in Early-Onset Dementia: Review of Current Findings and the Need for Network Resilience-Focused Models” (http://dx.doi.org/10.1002/brb3.70903)
In this review, we highlight several important insights:
- A summary of how early‐onset forms of dementia (including Alzheimer’s disease, frontotemporal dementia (FTD), and behavioral variant FTD) show disruption in brain network topology (both structural and functional) rather than purely focal pathology.
- Evidence that brain networks lose their optimal organisational properties (e.g., balance of segregation and integration) in early‐onset dementia, reflecting decline in network resilience. For example, previous work has shown disrupted segregation/integration in large‐scale brain networks in Alzheimer’s/MCI.
- The concept of network resilience as a key lens: rather than only asking “where damage occurs”, the paper argues we should ask “how the network topology fails to compensate, reorganise or maintain function under pathology”. This shifts the view to resilience‐focused models.
- Review of methodological findings: how graph‐theoretic metrics (clustering coefficient, global/local efficiency, modularity, assortativity, small‐worldness) are being applied to neuroimaging and electrophysiology in early dementia.
- Gaps and opportunities: the need for models that integrate network resilience, longitudinal data, multimodal connectivity (structural + functional + electrophysiological) and early‐onset cohorts; and the translational potential for biomarkers and interventions that support network integrity rather than just reduce pathology.
I believe this work contributes to bridging neuroscience, network theory, and clinical neurology, and invites discussion on how we can design interventions that strengthen brain network resilience in dementia.
Thanks to my co-authors (Hema Nawani, Sredha Sunil) and reviewers, and a huge thank you to our professor Veeky Baths for his guidance and support throughout this work.
If you’re working in cognitive neuroscience, network approaches to brain disorders, early‐onset dementia, connectomics or translational neurology, let’s collaborate to make a real impact.
#Neuroscience #BrainNetworks #Dementia #EarlyOnsetDementia #Neurodegeneration #NetworkResilience #ClinicalNeuroscience #GraphTheory #NetworkNeuroscience #ComputationalNeuroscience
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How Brain Circuits Influence Mood, Behavior, and Social Skills
#BrainCircuits #Neuroscience #MentalHealth #BrainNetworks #EmotionAndDecision #DefaultModeNetwork #BasalGanglia #LimbicSystem #Neurobiology #CognitiveScience
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The Brain’s Maze: How Your Mind Prioritizes, Focuses, and Motivates
#BrainExploration #Neuroscience #MentalHealth #BrainNetworks #SalienceNetwork #DefaultMode #CognitiveScience #Motivation #BrainCircuits #MindAndBrain
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Dancing brainwaves: How sound reshapes your brain networks in real time
https://www.sciencedaily.com/releases/2025/06/250602155001.htm
#HackerNews #DancingBrainwaves #SoundResearch #BrainNetworks #Neuroscience #RealTime
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Journey Through the Brain: Exploring the Neural Networks That Power Our Thoughts, Emotions, and Behaviors
#BrainScience #Neuroscience #BrainTour #MindAndBody #BrainNetworks #NeuralCircuits #HumanBrain #BrainAwareness #CognitiveScience #EmotionalIntelligence #NeuroscienceEducation #BrainFunction #MindExploration
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Brain networks for sustained attention in teens predict substance use in young adulthood https://www.psypost.org/brain-networks-for-sustained-attention-in-teens-predict-substance-use-in-young-adulthood/?utm_source=dlvr.it&utm_medium=mastodon #BrainNetworks #SustainedAttention #Teens #SubstanceUse #Adolescents
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Infants have impressive #auditory learning capabilities, even at day 1. Study shows that #newborns & 6–mo-olds already learn & detect #grammar-like rules; the underlying #BrainNetworks reorganize to be more adult-like after the first half-year #PLOSBiology https://plos.io/3UiaGMg
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Psilocybin desynchronizes the human brain
https://www.nature.com/articles/s41586-024-07624-5
#Psilocybin #Neuroplasticity #BrainConnectivity #Psychedelics #Serotonin #MentalHealth #Therapeutics #fMRI #Neuroscience #FunctionalMapping #Hippocampus #ClinicalTrials #Depression #Addiction #Anxiety #Synaptogenesis #Glutamate #BrainResearch #Cortex #Subcortex #EgoDissolution #SpaceTimePerception #Neurobiology #TherapeuticMechanisms #BrainNetworks #PrecisionMapping #BrainChanges #PsychedelicResearch #BrainFunction
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@jeremy Welcome!
Sounds very cool. I'm hoping
#BrainNetworks
#DeepLearning
#Memory
#DataScience
#DataIsBeautiful
#Neuroimaging
#MindSummerSchoolAre useful to helping people find you! 😀
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Hey Mastodon community!
I'm an Assistant Professor at #GordonCollege
My research examines lifespan changes in the prioritization of and memory for social and emotional content, and how these changes relate to moral cognition.
I'm looking forward to meeting people interested in these topics on this platform!
#Memory #Morality
#Psychology #MoralPsychology #CognitiveScience #CognitiveAging #fMRI #Neuroscience #CognitiveNeuroscience #BrainNetworks