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

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Zhipeng Cao - , University of Vermont (Author)
  • Renata B. Cupertino - , University of Vermont (Author)
  • Jonatan Ottino-Gonzalez - , University of Vermont (Author)
  • Alistair Murphy - , University of Vermont (Author)
  • Devarshi Pancholi - , University of Vermont (Author)
  • Anthony Juliano - , University of Vermont (Author)
  • Bader Chaarani - , University of Vermont (Author)
  • Matthew Albaugh - , University of Vermont (Author)
  • Dekang Yuan - , University of Vermont (Author)
  • Nathan Schwab - , University of Vermont (Author)
  • James Stafford - , University of Vermont (Author)
  • Anna E. Goudriaan - , University of Amsterdam (Author)
  • Kent Hutchison - , University of Colorado Boulder (Author)
  • Chiang Shan R. Li - , Yale University (Author)
  • Maartje Luijten - , Radboud University Nijmegen (Author)
  • Martine Groefsema - , Radboud University Nijmegen (Author)
  • Reza Momenan - , National Institutes of Health (NIH) (Author)
  • Lianne Schmaal - , ORYGEN Youth Health, University of Melbourne (Author)
  • Rajita Sinha - , Yale University (Author)
  • Ruth J. van Holst - , University of Amsterdam (Author)
  • Dick J. Veltman - , University of Amsterdam (Author)
  • Reinout W. Wiers - , University of Amsterdam (Author)
  • Bernice Porjesz - , SUNY Downstate Health Sciences University (Author)
  • Tristram Lett - , Charité – Universitätsmedizin Berlin (Author)
  • Tobias Banaschewski - , Heidelberg University  (Author)
  • Arun L.W. Bokde - , Trinity College Dublin (Author)
  • Sylvane Desrivières - , King's College London (KCL) (Author)
  • Herta Flor - , Heidelberg University , University of Mannheim (Author)
  • Antoine Grigis - , Université Paris-Saclay (Author)
  • Penny Gowland - , University of Nottingham (Author)
  • Andreas Heinz - , Charité – Universitätsmedizin Berlin (Author)
  • Rüdiger Brühl - , Physikalisch-Technische Bundesanstalt (Author)
  • Jean Luc Martinot - , École normale supérieure Paris-Saclay (Author)
  • Marie Laure Paillère Martinot - , École normale supérieure Paris-Saclay, Assistance publique – Hôpitaux de Paris (Author)
  • Eric Artiges - , École normale supérieure Paris-Saclay, EPS Barthélémy Durand (Author)
  • Frauke Nees - , Heidelberg University , Kiel University (Author)
  • Dimitri Papadopoulos Orfanos - , Université Paris-Saclay (Author)
  • Tomáš Paus - , University of Montreal, University of Toronto (Author)
  • Luise Poustka - , University of Göttingen (Author)
  • Sarah Hohmann - , Heidelberg University  (Author)
  • Sabina Millenet - , Heidelberg University  (Author)
  • Juliane H. Fröhner - , Department of Psychiatry and Psychotherapy (Author)
  • Lauren Robinson - , King's College London (KCL) (Author)
  • Michael N. Smolka - , Department of Psychiatry and Psychotherapy (Author)
  • Henrik Walter - , Charité – Universitätsmedizin Berlin (Author)
  • Jeanne Winterer - , Charité – Universitätsmedizin Berlin, Free University of Berlin (Author)
  • Gunter Schumann - , King's College London (KCL), Humboldt University of Berlin, Fudan University, Leibniz Institute for Neurobiology (Author)
  • Robert Whelan - , Trinity College Dublin (Author)
  • Ravi R. Bhatt - , University of Southern California (Author)
  • Alyssa Zhu - , University of Southern California (Author)

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.

Details

Original languageEnglish
Pages (from-to)698-709
Number of pages12
JournalMolecular psychiatry
Volume28
Issue number2
Publication statusPublished - Feb 2023
Peer-reviewedYes

External IDs

PubMed 36380235
ORCID /0000-0001-5398-5569/work/150329522
ORCID /0000-0002-8493-6396/work/150330248

Keywords

Sustainable Development Goals

Keywords

  • Adult, Adolescent, Humans, Child, Brain, Mental Disorders/genetics, Aging/genetics, Magnetic Resonance Imaging, Cerebral Cortex/diagnostic imaging, Potassium Channels, Voltage-Gated

Library keywords