Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosis

H Baldwin; J Radua; M Antoniades; SS Haas; S Frangou; I Agartz; P Allen; OA Andreassen; K Atkinson; P Bachman; I Baeza; CF Bartholomeusz; MWL Chee; T Colibazzi; RE Cooper; CM Corcoran; VL Cropley; BH Ebdrup; A Fortea; LB Glenthøj; HK Hamilton; KM Haut; RA Hayes; Y He; K Heekeren; M Kaess; K Kasai; N Katagiri; M Kim; J Kindler; MJ Klaunig; S Koike; A Koppel; TD Kristensen; Y Bin Kwak; JS Kwon; SM Lawrie; I Lebedeva; J Lee; A Lin; RL Loewy; DH Mathalon; C Michel; R Mizrahi; P Møller; B Nelson; T Nemoto; D Nordholm; MA Omelchenko; C Pantelis; JM Raghava; JI Røssberg; W Rössler; DF Salisbury; D Sasabayashi; U Schall; L Smigielski; G Sugranyes; M Suzuki; T Takahashi; CK Tamnes; J Tang; A Theodoridou; SI Thomopoulos; AS Tomyshev; PJ Uhlhaas; TG Værnes; TAMJ van Amelsvoort; TGM Van Erp; JA Waltz; LT Westlye; SJ Wood; JH Zhou; P McGuire; PM Thompson; M Jalbrzikowski; D Hernaus; P Fusar-Poli; C de la Fuente-Sandoval; S Catalano; D Hubl; J Schiffman; ED Venegoni; CI Hooker; PE Rasser; WTV Hegelstad; F Resch; ILJ Lemmers-Jansen; GP Amminger; X Chen; KIK Cho; BY Glenthøj; L de Haan; MA Harris; WJ Hwang; P León-Ortiz; X Ma; P McGorry; R Mora-Durán; M Mizuno

Journal article

Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosis

H Baldwin, J Radua, M Antoniades, SS Haas, S Frangou, I Agartz, P Allen, OA Andreassen, K Atkinson, P Bachman, I Baeza, CF Bartholomeusz, MWL Chee, T Colibazzi, RE Cooper, CM Corcoran, VL Cropley, BH Ebdrup, A Fortea, LB Glenthøj Show all

Translational Psychiatry | Published : 2022

DOI: 10.1038/s41398-022-02057-y

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Abstract

Individuals at Clinical High Risk for Psychosis (CHR-P) demonstrate heterogeneity in clinical profiles and outcome features. However, the extent of neuroanatomical heterogeneity in the CHR-P state is largely undetermined. We aimed to quantify the neuroanatomical heterogeneity in structural magnetic resonance imaging measures of cortical surface area (SA), cortical thickness (CT), subcortical volume (SV), and intracranial volume (ICV) in CHR-P individuals compared with healthy controls (HC), and in relation to subsequent transition to a first episode of psychosis. The ENIGMA CHR-P consortium applied a harmonised analysis to neuroimaging data across 29 international sites, including 1579 CHR-P..

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University of Melbourne Researchers

Cali Bartholomeusz Author

Vanessa Cropley Author

Barnaby Nelson Author

Christos Pantelis Author

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Grants

Awarded by Fundación Alicia Koplowitz

Funding Acknowledgements

HB is funded by a National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre doctoral studentship. SF is supported by the National Institute of Mental Health under grant R01MH113619. CMC is supported by R01MH107558 and R01MH115332. BN is supported by a National Health and Medical Research Council (NHMRC) Senior Research Fellowship (1137687). AL is supported by a National Health and Medical Research Council (NHMRC) Senior Research Fellowship (#1148793). CKT is supported by the Research Council of Norway (223273, 288083, 323951) and the South-Eastern Norway Regional Health Authority (2019069, 2021070, 500189). PMT is supported by NIH grants R01MH116147, P41EB015922, and R01AG058854. VC is supported by a National Health and Medical Research Council (NHMRC) Investigator Grant (1177370). LTW is supported by the European Research Council under the European Union's Horizon 2020 research and Innovation program (ERC StG, Grant 802998). GS is supported by the Fundacio Clinic Recerca Biomedica, the Brain and Behavior Research Foundation (NARSAD Young Investigator Award 2017, grant ID: 26731), the Alicia Koplowitz Foundation and the Spanish Ministry of Health, Instituto de Salud Carlos III "Health Research Fund" (PI15/0444; PI18/0242; PI18/00976). CF-S was supported by grants 182279 and 261895 from the Consejo Nacional de Ciencia y Tecnologia, grants from CONACYT's Sistema Nacional de Investigadores, and grant R21 MH117434 from the National Institutes of Health. CP was supported by a National Health and Medical Research Council (NHMRC) Senior Principal Research Fellowship (1105825), an NHMRC L3 Investigator Grant (1196508), and NHMRC Program Grant (ID: 1150083). Core funding for ENIGMA was provided by the NIH Big Data to Knowledge (BD2K) program under consortium grant U54 EB020403 to PMT.