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Cortical profiles of numerous psychiatric disorders and normal development share a common pattern

  • IMAGEN Consortium
  • , ENIGMA Addiction Working Group
  • University of Vermont
  • University of Amsterdam
  • University of Colorado Boulder
  • Yale University
  • Radboud University Nijmegen
  • National Institutes of Health
  • ORYGEN Youth Health
  • University of Melbourne
  • Berlin Institute of Health (BIH) and Charité - Universitätsmedizin Berlin
  • Heidelberg University 
  • Trinity College Dublin
  • King's College London
  • University of Mannheim
  • Université Paris-Saclay
  • University of Nottingham
  • Physikalisch-Technische Bundesanstalt
  • Université Paris-Saclay
  • Assistance publique – Hôpitaux de Paris
  • EPS Barthélémy Durand
  • University Hospital Schleswig-Holstein
  • CHU Sainte-Justine - Le Centre Hospitalier Universitaire Mère-Enfant
  • University of Toronto
  • University of Göttingen
  • Technische Universität Dresden
  • Free University of Berlin
  • Humboldt University of Berlin
  • Fudan University
  • Leibniz Institute for Neurobiology
  • University of Southern California

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The neurobiological bases of the association between development and psychopathology remain poorly understood. Here, we identify a shared spatial pattern of cortical thickness (CT) in normative development and several psychiatric and neurological disorders. Principal component analysis (PCA) was applied to CT of 68 regions in the Desikan-Killiany atlas derived from three large-scale datasets comprising a total of 41,075 neurotypical participants. PCA produced a spatially broad first principal component (PC1) that was reproducible across datasets. Then PC1 derived from healthy adult participants was compared to the pattern of CT differences associated with psychiatric and neurological disorders comprising a total of 14,886 cases and 20,962 controls from seven ENIGMA disease-related working groups, normative maturation and aging comprising a total of 17,697 scans from the ABCD Study® and the IMAGEN developmental study, and 17,075 participants from the ENIGMA Lifespan working group, as well as gene expression maps from the Allen Human Brain Atlas. Results revealed substantial spatial correspondences between PC1 and widespread lower CT observed in numerous psychiatric disorders. Moreover, the PC1 pattern was also correlated with the spatial pattern of normative maturation and aging. The transcriptional analysis identified a set of genes including KCNA2, KCNS1 and KCNS2 with expression patterns closely related to the spatial pattern of PC1. The gene category enrichment analysis indicated that the transcriptional correlations of PC1 were enriched to multiple gene ontology categories and were specifically over-represented starting at late childhood, coinciding with the onset of significant cortical maturation and emergence of psychopathology during the prepubertal-to-pubertal transition. Collectively, the present study reports a reproducible latent pattern of CT that captures interregional profiles of cortical changes in both normative brain maturation and a spectrum of psychiatric disorders. The pubertal timing of the expression of PC1-related genes implicates disrupted neurodevelopment in the pathogenesis of the spectrum of psychiatric diseases emerging during adolescence.

Original languageEnglish
Pages (from-to)698-709
Number of pages12
JournalMolecular Psychiatry
Volume28
Issue number2
DOIs
StatePublished - Feb 2023

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