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  1. DATE: September 29, 2026 at 11:00AM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
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    TITLE: Psychological resilience may buffer children’s brains against some effects of abuse

    URL: psypost.org/psychological-resi

    Among children with lower psychological resilience, those who experienced more abuse showed brain-network patterns linked with depression, physical symptoms and later anxiety, according to a study published in Development and Psychopathology. These associations did not appear in children with average or higher resilience. The findings suggest resilience may protect against some effects of abuse, although it did not appear to provide the same protection against neglect.

    Childhood adversity can influence mental health in many ways. Abuse may place children in a state of heightened alertness, making them more sensitive to possible danger and more likely to interpret ordinary experiences as threatening. Stress can also affect how the brain coordinates systems involved in emotions, attention and physical sensations.

    Psychological resilience describes the ability to adapt and continue functioning during difficult circumstances. It is not necessarily a fixed personality trait. Researchers increasingly view resilience as a capacity that can change with support, relationships and intervention.

    The research team wanted to investigate whether resilience altered the relationship between different forms of adversity and the way brain networks communicate. They were particularly interested in whether abuse and neglect affected the brain in the same way. Although both experiences can harm children, abuse involves threat and fear, while neglect more often involves a lack of emotional, physical or material support.

    Led by Yuanyuan Li of Beijing Normal University, the team studied 94 children, 48 boys and 46 girls, between the ages of 10 and 14 who attended elementary schools in rural China. The authors describe the sample as marked by poverty and by the experience of being “left behind,” a term for children in rural China whose parents have migrated to cities for work.

    Participants completed questionnaires about childhood adversity, resilience, depression, anxiety and physical symptoms. Abuse was measured as a combination of physical and emotional abuse, and neglect as a combination of physical and emotional neglect. Resilience was assessed with a questionnaire asking how well children cope with challenges, such as whether they feel able to deal with whatever comes their way.

    Immediately afterward, the children underwent a resting-state functional MRI scan, which tracks how closely activity in different brain systems rises and falls together while a person lies still without performing a specific task. This synchronization, known as functional connectivity, is often interpreted as a sign of how strongly brain systems communicate. Six months later, the children again reported their depression, anxiety and physical symptoms.

    Two children were excluded because they moved excessively during scanning, leaving 92 participants, with an average age of about 11.8 years, for the main analysis. The researchers examined connections within and between seven large-scale brain networks. The key findings involved three of them: the limbic network, which helps process emotions and motivation; the ventral attention network, also known as the salience network, which identifies important or potentially threatening information; and the somatomotor network, which processes movement and bodily sensations.

    Across the full sample, neither abuse nor neglect was linked to any of the brain-network measures after the researchers accounted for age, sex, perceived socioeconomic status and the other type of adversity. The associations with abuse emerged only when children’s resilience levels were taken into account.

    Among children with lower resilience, greater exposure to abuse was associated with stronger connectivity between the limbic network and the somatomotor network. This pattern helped explain the link between abuse and more physical complaints, such as headaches, stomachaches and tiredness, as well as higher depression scores at the initial assessment.

    In these children, greater abuse was also associated with stronger connectivity between the limbic and ventral attention networks. Both brain patterns helped explain higher anxiety levels six months later, even after the researchers accounted for the children’s anxiety at the start of the study. These associations were absent in children with average or higher resilience.

    However, the results did not show the same protective effect for neglect. Neglect was not significantly associated with the brain-network measures, regardless of the children’s resilience levels, although children who reported more neglect did tend to report more depressive symptoms, both at the start of the study and six months later. This ran counter to the researchers’ expectation that resilience would protect against both forms of adversity.

    The authors suggested that neglect may be more chronic and widespread in the study population, potentially making it harder for resilience alone to offset its effects. They argued that addressing neglect may require easing the underlying deprivation, for example by providing more material resources and supporting more responsive caregiving.

    Li and colleagues concluded: “Our findings reveal that psychological resilience specifically shields against the neurotoxic effects of abuse by modulating networks involved in emotion regulation, salience, and sensorimotor processing.”

    Some limitations should be noted. For example, the study measured adversity and brain connectivity at the same time, so it cannot establish cause and effect. The children also reported their own past experiences of adversity, which may introduce recall bias, since children may not remember or report past experiences accurately. Sexual abuse was not assessed because of the sensitivity of the topic in Chinese elementary schools. The sample was also relatively small for detecting subtle effects, and the link between brain connectivity and later anxiety was no longer statistically significant when the researchers used a stricter standard for excluding children who moved during scanning.

    The study “Psychological resilience moderates the relationship between childhood adversity, brain network connectivity, and wellness” was authored by Yuanyuan Li, Zelin Liu, Bowen Hu, Jiahua Xu, Jiale Xiao, Boxuan Chen, Ting Tian, Ying He, Shaozheng Qin and Danhua Lin.

    URL: psypost.org/psychological-resi

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    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #PsychologicalResilience #ChildhoodAdversity #BrainConnectivity #LimbicNetwork #SalienceNetwork #SensorimotorProcessing #AbuseAndWellbeing #DepressionInChildren #AnxietyInChildren #NeurodevelopmentalPsychology

  2. 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. **
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    TITLE: Mapping the relay stations of human consciousness

    URL: psypost.org/mapping-the-deep-b

    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: psypost.org/mapping-the-deep-b

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    Private, vetted email list for mental health professionals: 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

  3. #Aging alters how the structural wiring of the #brain constrains its functional activity. This study reveals how changes in this balance, particularly within the #SalienceNetwork, predict declines in #CognitiveFlexibility over time @PLOSBiology plos.io/4tTlNei

  4. A volte non serve una guerra.
    Non serve una dittatura.
    Non serve un trauma gigantesco.
    Basta una scelta.
    Un bivio microscopico: fare ciò che senti giusto,
    oppure salvarti la pelle.
    Lo chiamo il momento del tradimento possibile.
    È lì che il cervello decide chi comanderà:
    la coscienza o la paura.
    E non sempre vince la parte migliore di te.

    🍁
    Traduzione in inglese disponibile.

    #michiyospace 
    #neuroscienze 
    #defaultmodenetwork 
    #saliencenetwork 

    michiyospace.altervista.org/qu

  5. nature.com/articles/d41586-024 #brains #depression #neuroscience #saliencenetwork Found: a brain-wiring pattern linked to depression
    The disease has a consistent mark in the brain even when symptoms are absent (Reardon, 2024) — note #psychedelics including #ketamine affect the salience network as well #mentalhealth #psychedelicmentalhealth

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