| Zugriffsnummer | 46984 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Examination of the association between exposure to childhood maltreatment and brain structure in young adults: a machine learning analysis |
| Autor(in); Institution |
Price, Matthew; Center for Research on Emotion Stress and Technology, Department of Psychological Science, University of Vermont, Burlington, VT, USA
Albaugh, Matthew; Department of Psychiatry, University of Vermont, Burlington, VT, USA
Hahn, Sage; Department of Psychiatry, University of Vermont, Burlington, VT, USA
Juliano, Anthony C.; Department of Psychiatry, University of Vermont, Burlington, VT, USA
Fani, Negar; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
Brier, Zoe M. F.; Center for Research on Emotion Stress and Technology, Department of Psychological Science, University of Vermont, Burlington, VT, USA
Legrand, Alison C.; Center for Research on Emotion Stress and Technology, Department of Psychological Science, University of Vermont, Burlington, VT, USA
van Stolk-Cooke, Katherine; Center for Research on Emotion Stress and Technology, Department of Psychological Science, University of Vermont, Burlington, VT, USA
Chaarani, Bader; Department of Psychiatry, University of Vermont, Burlington, VT, USA
Potter, Alexander; Department of Psychiatry, University of Vermont, Burlington, VT, USA
Peck, Kelly; Department of Psychiatry, University of Vermont, Burlington, VT, USA
Allgaier, Nicholas; Department of Psychiatry, University of Vermont, Burlington, VT, USA
Banaschewski, Tobias; Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, GERMANY
Bokde, Arun L. W.; Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
Quinlan, Erin Burke; Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, IRELAND
Desrivieres, Sylvane; Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King’s College London, London, UK
Flor, Herta; Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, GERMANY
Grigis, Antoine; NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, FRANCE
Gowland, Penny; Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
Heinz, Andreas; Department of Psychiatry and Psychotherapy CCM, Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, GERMANY
Ittermann, Bernd; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
IMAGEN CONSORTIUM,
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| Quelle/Jahr | Neuropsychopharmacology: 46 (2021), 1888 - 1894 |
| ISSN | 0893-133X (PRINT) ; 1740-634X (ONLINE) |
| DOI | |
| Verlag | London [u.a.]: Nature |
| Zusammenfassung | 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. |
| Rechteinformation | under exclusive licence to American College of Neuropsychopharmacology |
| Themenbereich der Metrologie | Metrologie in der Medizin |
Zitierung
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. W., Quinlan, E. B., Desrivieres, S., Flor, H., Grigis, A., Gowland, P., Heinz, A., Ittermann, B., & IMAGEN CONSORTIUM. (2021). Examination of the association between exposure to childhood maltreatment and brain structure in young adults: a machine learning analysis. Neuropsychopharmacology, 46, 1888–1894. https://doi.org/10.1038/s41386-021-00987-7