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...
Saved in:
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: | |
Online Access: | https://doi.org/10.1038/s41598-024-84616-5 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sexual Abuse and Neglect during Childhood are Associated with an Increased Prevalence of Mental Health Problems among University Students in Surakarta, Indonesia
by: Ni Putu Dian Apriandary, et al.
Published: (2024-09-01) -
Graph Neural Networks for Analyzing Trauma-Related Brain Structure in Children and Adolescents: A Pilot Study
by: Harim Jeong, et al.
Published: (2024-12-01) -
Association of childhood maltreatment and adverse lifetime experiences with post-injury psychopathology: evidence from the China Severe Trauma Cohort
by: Shu Wen, et al.
Published: (2025-01-01) -
Psychosis as Eluding Agency: Perspective of Phenomenological Psychopathology
by: Kristina Baranovaitė
Published: (2024-04-01) -
Impact of witnessing abuse of their mother and childhood trauma on men's perpetration of intimate partner violence in the cross-sectional UN multi-country study on men and violence in Asia and the Pacific
by: Rachel Jewkes, et al.
Published: (2025-06-01)