TY - JOUR
T1 - Cortical profiles of numerous psychiatric disorders and normal development share a common pattern
AU - IMAGEN Consortium
AU - ENIGMA Addiction Working Group
AU - Cao, Zhipeng
AU - Cupertino, Renata B.
AU - Ottino-Gonzalez, Jonatan
AU - Murphy, Alistair
AU - Pancholi, Devarshi
AU - Juliano, Anthony
AU - Chaarani, Bader
AU - Albaugh, Matthew
AU - Yuan, Dekang
AU - Schwab, Nathan
AU - Stafford, James
AU - Goudriaan, Anna E.
AU - Hutchison, Kent
AU - Li, Chiang Shan R.
AU - Luijten, Maartje
AU - Groefsema, Martine
AU - Momenan, Reza
AU - Schmaal, Lianne
AU - Sinha, Rajita
AU - van Holst, Ruth J.
AU - Veltman, Dick J.
AU - Wiers, Reinout W.
AU - Porjesz, Bernice
AU - Lett, Tristram
AU - Banaschewski, Tobias
AU - Bokde, Arun L.W.
AU - Desrivières, Sylvane
AU - Flor, Herta
AU - Grigis, Antoine
AU - Gowland, Penny
AU - Heinz, Andreas
AU - Brühl, Rüdiger
AU - Martinot, Jean Luc
AU - Martinot, Marie Laure Paillère
AU - Artiges, Eric
AU - Nees, Frauke
AU - Orfanos, Dimitri Papadopoulos
AU - Paus, Tomáš
AU - Poustka, Luise
AU - Hohmann, Sarah
AU - Millenet, Sabina
AU - Fröhner, Juliane H.
AU - Robinson, Lauren
AU - Smolka, Michael N.
AU - Walter, Henrik
AU - Winterer, Jeanne
AU - Schumann, Gunter
AU - Whelan, Robert
AU - Bhatt, Ravi R.
AU - Zhu, Alyssa
N1 - Publisher Copyright: © 2022, The Author(s), under exclusive licence to Springer Nature Limited.
PY - 2023/2
Y1 - 2023/2
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85142063131
U2 - 10.1038/s41380-022-01855-6
DO - 10.1038/s41380-022-01855-6
M3 - Article
C2 - 36380235
SN - 1359-4184
VL - 28
SP - 698
EP - 709
JO - Molecular Psychiatry
JF - Molecular Psychiatry
IS - 2
ER -