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

Z Cao; RB Cupertino; J Ottino-Gonzalez; A Murphy; D Pancholi; A Juliano; B Chaarani; M Albaugh; D Yuan; N Schwab; J Stafford; AE Goudriaan; K Hutchison; CSR Li; M Luijten; M Groefsema; R Momenan; L Schmaal; R Sinha; RJ van Holst; DJ Veltman; RW Wiers; B Porjesz; T Lett; T Banaschewski; ALW Bokde; S Desrivières; H Flor; A Grigis; P Gowland; A Heinz; R Brühl; JL Martinot; MLP Martinot; E Artiges; F Nees; DP Orfanos; T Paus; L Poustka; S Hohmann; S Millenet; JH Fröhner; L Robinson; MN Smolka; H Walter; J Winterer; G Schumann; R Whelan; RR Bhatt; A Zhu; P Conrod; N Jahanshad; PM Thompson; S Mackey; H Garavan

Journal article

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

Z Cao, RB Cupertino, J Ottino-Gonzalez, A Murphy, D Pancholi, A Juliano, B Chaarani, M Albaugh, D Yuan, N Schwab, J Stafford, AE Goudriaan, K Hutchison, CSR Li, M Luijten, M Groefsema, R Momenan, L Schmaal, R Sinha, RJ van Holst Show all

Molecular Psychiatry | Published : 2023

DOI: 10.1038/s41380-022-01855-6

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 disorde..

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