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Children differ in their response to environmental exposures, with some being more sensitive to contextual factors than others. According to theory, such variability is the result of individual differences in neurobiological sensitivity to environmental features, with some individuals generally more affected by both negative and/or positive experiences. In this exploratory study we tested whether left and right amygdala and hippocampus volumes (corrected for total brain size) account for individual differences in response to environmental influences in a sample of 62 boys. Cumulative general environmental quality, ranging from low to high, was measured across the first 9 years and child behavior was reported by teachers when boys were 12-13 years old. According to analyses, only the left amygdala volume - not any of the other brain volumes - emerged as an important brain region for sensitivity to environmental aspects. Boys with a larger left amygdala benefited significantly more from higher environmental quality than boys with a smaller left amygdala whilst not being more vulnerable to lower quality. Besides providing preliminary evidence for differences in environmental sensitivity due to brain structure, the results also point to the left amygdala as having a specific role regarding the response to environmental influences.
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http://dx.doi.org/10.1017/S0954579420001698 | DOI Listing |
Front Psychiatry
August 2025
Neurobiology of Stress Research Group, Szentágothai Research Centre, University of Pécs, Pécs, Hungary.
Background: Previous studies indicate that hippocampal (subfield) and amygdala volumes may correlate with specific cognitive functions, coping strategies and emotion regulation. Here, we investigated associations between emotional processing and volumes of hippocampal subfields and amygdala. We focused on depressed patients since emotional dysregulation and hippocampal volume shrinkage are characteristic of them.
View Article and Find Full Text PDFBrain
September 2025
Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, 13005 Marseille, France.
The lateral prefrontal cortex (LPFC) serves as a critical hub for higher-order cognitive and executive functions in the human brain, coordinating brain networks whose disruption has been implicated in many neurological and psychiatric disorders. While transcranial brain stimulation treatments often target the LPFC, our current understanding of connectivity profiles guiding these interventions based on electrophysiology remains limited. Here, we present a high-resolution probabilistic map of bidirectional effective connectivity between the LPFC and widespread cortical and subcortical regions.
View Article and Find Full Text PDFRev Neurol
August 2025
Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229-3900, USA.
Background: Functional magnetic resonance imaging (fMRI) studies examining emotional memory encoding often use event-related designs with stimuli in the form of words or pictures. Prior research has suggested differential hemispheric specialization for these stimulus types, yet no meta-analysis has directly compared the neural systems involved in each.
Methods: A meta-analysis was conducted using peer-reviewed, event-related fMRI studies.
Eur Psychiatry
September 2025
FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Meudicine, University of Turku, Turku, Finland.
J Affect Disord
September 2025
Department of Traditional Chinese Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi, China. Electronic address:
Introduction: Dysfunction in amygdala networks has been implicated in major depressive disorder (MDD). Pharmacological treatments, such as esketamine and sertraline, are believed to exert their antidepressant effects by modulating amygdalar activity. This study aimed to investigate the relationship between changes in dynamic functional connectivity (dFC) within amygdala subregions and treatment outcomes, with a focus on identifying potential neuroimaging markers.
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