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Article Dans Une Revue Molecular Psychiatry Année : 2022

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

Zhipeng Cao
Renata Cupertino
Jonatan Ottino-Gonzalez
  • Fonction : Auteur
Alistair Murphy
Devarshi Pancholi
  • Fonction : Auteur
Anthony Juliano
  • Fonction : Auteur
Bader Chaarani
Matthew Albaugh
  • Fonction : Auteur
Dekang Yuan
  • Fonction : Auteur
Nathan Schwab
  • Fonction : Auteur
James Stafford
  • Fonction : Auteur
Anna Goudriaan
  • Fonction : Auteur
Kent Hutchison
  • Fonction : Auteur
Chiang-Shan Li
Maartje Luijten
  • Fonction : Auteur
Martine Groefsema
  • Fonction : Auteur
Reza Momenan
  • Fonction : Auteur
Lianne Schmaal
Rajita Sinha
Ruth van Holst
  • Fonction : Auteur
Dick Veltman
  • Fonction : Auteur
Reinout Wiers
  • Fonction : Auteur
Bernice Porjesz
  • Fonction : Auteur
Tristram Lett
Tobias Banaschewski
Arun Bokde
Sylvane Desrivières
Herta Flor
  • Fonction : Auteur
Antoine Grigis
  • Fonction : Auteur
Penny Gowland
Andreas Heinz
Rüdiger Brühl
Frauke Nees
Tomáš Paus
Luise Poustka
  • Fonction : Auteur
Sarah Hohmann
  • Fonction : Auteur
Sabina Millenet
  • Fonction : Auteur
Juliane Fröhner
Lauren Robinson
  • Fonction : Auteur
Michael Smolka
Henrik Walter
Jeanne Winterer
  • Fonction : Auteur
Gunter Schumann
Robert Whelan
Ravi Bhatt
Alyssa Zhu
  • Fonction : Auteur
Patricia Conrod
  • Fonction : Auteur
Neda Jahanshad
  • Fonction : Auteur
Paul Thompson
  • Fonction : Auteur
Scott Mackey
Hugh Garavan

Résumé

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.

Dates et versions

hal-04471085 , version 1 (21-02-2024)

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Citer

Zhipeng Cao, Renata Cupertino, Jonatan Ottino-Gonzalez, Alistair Murphy, Devarshi Pancholi, et al.. Cortical profiles of numerous psychiatric disorders and normal development share a common pattern. Molecular Psychiatry, 2022, 28 (2), pp.698-709. ⟨10.1038/s41380-022-01855-6⟩. ⟨hal-04471085⟩
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