Differential gray matter correlates and machine learning prediction of abuse and internalizing psychopathology in adolescent females

Differential gray matter correlates and machine learning prediction of abuse and internalizing psychopathology in adolescent females

Abstract Childhood abuse represents one of the most potent risk factors for the development of psychopathology during childhood, accounting for 30–60% of the risk for onset. While previous studies have separately associated reductions in gray matter volume (GMV) with childhood abuse and internalizin...

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Bibliographic Details
Main Authors: Sara A. Heyn, Taylor J. Keding, Josh Cisler, Katie McLaughlin, Ryan J. Herringa
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Childhood abuse
Trauma
Psychopathology
Adolescence
Neuroimaging
Structural MRI
Online Access:https://doi.org/10.1038/s41598-024-84616-5
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https://doi.org/10.1038/s41598-024-84616-5

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