Examination of the association between exposure to childhood maltreatment and brain structure in young adults: a machine learning analysis

Price, Matthew; Albaugh, Matthew; Hahn, Sage; Juliano, Anthony C.; Fani, Negar; Brier, Zoe M. F.; Legrand, Alison C.; van Stolk-Cooke, Katherine; Chaarani, Bader; Potter, Alexandra; Peck, Kelly; Allgaier, Nicholas; Banaschewski, Tobias; Bokde, Arun L.W.; Quinlan, Erin Burke; Desrivières, Sylvane; Flor, Herta; Grigis, Antoine; Gowland, Penny; Heinz, Andreas; Ittermann, Bernd; Martinot, Jean-Luc; Paillère, Marie-Laure; Artiges, Eric; Nees, Frauke; Orfanos, Dimitri Papadopoulos; Poustka, Luise; Hohmann, Sarah; Fröhner, Juliane H.; Smolka, Michael N.; Walter, Henrik; Whelan, Robert; Schumann, Gunter; Garavan, Hugh

Abstract

Exposure to maltreatment during childhood is associated with structural changes throughout the brain. However, the structural differences that are most strongly associated with maltreatment remain unclear given the limited number of whole-brain studies. The present study used machine learning to identify if and how brain structure distinguished young adults with and without a history of maltreatment. Young adults (ages 18–21, n = 384) completed an assessment of childhood trauma exposure and a structural MRI as part of the IMAGEN study. Elastic net regularized regression was used to identify the structural features that identified those with a history of maltreatment. A generalizable model that included 7 cortical thicknesses, 15 surface areas, and 5 subcortical volumes was identified (area under the receiver operating characteristic curve = 0.71, p < 0.001). Those with a maltreatment history had reduced surface areas and cortical thicknesses primarily in fronto-temporal regions. This group also had larger cortical thicknesses in occipital regions and surface areas in frontal regions. The results suggest childhood maltreatment is associated with multiple measures of structure throughout the brain. The use of a large sample without exposure to adulthood trauma provides further evidence for the unique contribution of childhood trauma to brain structure. The identified regions overlapped with regions associated with psychopathology in adults with maltreatment histories, which offers insights as to how these disorders manifest.

Citation

Price, M., Albaugh, M., Hahn, S., Juliano, A. C., Fani, N., Brier, Z. M. F., Legrand, A. C., van Stolk-Cooke, K., Chaarani, B., Potter, A., Peck, K., Allgaier, N., Banaschewski, T., Bokde, A. L., Quinlan, E. B., Desrivières, S., Flor, H., Grigis, A., Gowland, P., Heinz, A., …Garavan, H. (2021). Examination of the association between exposure to childhood maltreatment and brain structure in young adults: a machine learning analysis. Neuropsychopharmacology, 46(11), 1888-1894. https://doi.org/10.1038/s41386-021-00987-7

• Journal Article Type: Article
• Acceptance Date: Feb 3, 2021
• Online Publication Date: Feb 26, 2021
• Publication Date: Feb 26, 2021
• Deposit Date: Jun 21, 2021
• Journal: Neuropsychopharmacology
• Print ISSN: 0893-133X
• Electronic ISSN: 1740-634X
• Publisher: Nature Publishing Group
• Peer Reviewed: Peer Reviewed
• Volume: 46
• Issue: 11
• Pages: 1888-1894
• DOI: https://doi.org/10.1038/s41386-021-00987-7
• Keywords: Pharmacology; Psychiatry and Mental health
• Public URL: https://nottingham-repository.worktribe.com/output/5353509
• Publisher URL: https://www.nature.com/articles/s41386-021-00987-7