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Article Dans Une Revue Neuropsychopharmacology Année : 2021

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

Neural network involving medial orbitofrontal cortex and dorsal periaqueductal gray regulation in human alcohol abuse.

Matthew Price
Matthew Albaugh
  • Fonction : Auteur
Sage Hahn
  • Fonction : Auteur
Anthony Juliano
  • Fonction : Auteur
Negar Fani
Zoe Brier
  • Fonction : Auteur
Alison Legrand
  • Fonction : Auteur
Katherine van Stolk-Cooke
  • Fonction : Auteur
Bader Chaarani
  • Fonction : Auteur
Alexandra Potter
Kelly Peck
  • Fonction : Auteur
Nicholas Allgaier
Tobias Banaschewski
Arun Bokde
Erin Burke Quinlan
  • Fonction : Auteur
Sylvane Desrivières
Herta Flor
  • Fonction : Auteur
Antoine Grigis
  • Fonction : Auteur
Penny Gowland
Andreas Heinz
Bernd Ittermann
Frauke Nees
Luise Poustka
  • Fonction : Auteur
Sarah Hohmann
  • Fonction : Auteur
Juliane Fröhner
Michael Smolka
Henrik Walter
Robert Whelan
Gunter Schumann
Hugh Garavan
  • Fonction : Auteur

Résumé

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.

Dates et versions

hal-04473745 , version 1 (22-02-2024)

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Citer

Matthew Price, Matthew Albaugh, Sage Hahn, Anthony Juliano, Negar Fani, et al.. Examination of the association between exposure to childhood maltreatment and brain structure in young adults: a machine learning analysis. Neuropsychopharmacology, 2021, 46 (11), pp.1888-1894. ⟨10.1038/s41386-021-00987-7⟩. ⟨hal-04473745⟩
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