Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosis.
Author
Baldwin, HelenRadua, Joaquim
Antoniades, Mathilde
Haas, Shalaila S
Frangou, Sophia
Agartz, Ingrid
Allen, Paul
Andreassen, Ole A
Atkinson, Kimberley
Bachman, Peter
Baeza, Inmaculada
Bartholomeusz, Cali F
Chee, Michael W L
Colibazzi, Tiziano
Cooper, Rebecca E
Corcoran, Cheryl M
Cropley, Vanessa L
Ebdrup, Bjørn H
Fortea, Adriana
Glenthøj, Louise Birkedal
Hamilton, Holly K
Haut, Kristen M
Hayes, Rebecca A
He, Ying
Heekeren, Karsten
Kaess, Michael
Kasai, Kiyoto
Katagiri, Naoyuki
Kim, Minah
Kindler, Jochen
Klaunig, Mallory J
Koike, Shinsuke
Koppel, Alex
Kristensen, Tina D
Bin Kwak, Yoo
Kwon, Jun Soo
Lawrie, Stephen M
Lebedeva, Irina
Lee, Jimmy
Lin, Ashleigh
Loewy, Rachel L
Mathalon, Daniel H
Michel, Chantal
Mizrahi, Romina
Møller, Paul
Nelson, Barnaby
Nemoto, Takahiro
Nordholm, Dorte
Omelchenko, Maria A
Pantelis, Christos
Raghava, Jayachandra M
Røssberg, Jan I
Rössler, Wulf
Salisbury, Dean F
Sasabayashi, Daiki
Schall, Ulrich
Smigielski, Lukasz
Sugranyes, Gisela
Suzuki, Michio
Takahashi, Tsutomu
Tamnes, Christian K
Tang, Jinsong
Theodoridou, Anastasia
Thomopoulos, Sophia I
Tomyshev, Alexander S
Uhlhaas, Peter J
Værnes, Tor G
van Amelsvoort, Therese A M J
van Erp, Theo G M
Waltz, James A
Westlye, Lars T
Wood, Stephen J
Zhou, Juan H
McGuire, Philip
Thompson, Paul M
Jalbrzikowski, Maria
Hernaus, Dennis
Fusar-Poli, Paolo
Date
2022-07-26Journal
Translational PsychiatryPublisher
Springer NatureType
Article
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Show full item recordAbstract
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 individuals and 1243 HC, offering the largest pooled CHR-P neuroimaging dataset to date. Regional heterogeneity was indexed with the Variability Ratio (VR) and Coefficient of Variation (CV) ratio applied at the group level. Personalised estimates of heterogeneity of SA, CT and SV brain profiles were indexed with the novel Person-Based Similarity Index (PBSI), with two complementary applications. First, to assess the extent of within-diagnosis similarity or divergence of neuroanatomical profiles between individuals. Second, using a normative modelling approach, to assess the ‘normativeness’ of neuroanatomical profiles in individuals at CHR-P. CHR-P individuals demonstrated no greater regional heterogeneity after applying FDR corrections. However, PBSI scores indicated significantly greater neuroanatomical divergence in global SA, CT and SV profiles in CHR-P individuals compared with HC. Normative PBSI analysis identified 11 CHR-P individuals (0.70%) with marked deviation (>1.5 SD) in SA, 118 (7.47%) in CT and 161 (10.20%) in SV. Psychosis transition was not significantly associated with any measure of heterogeneity. Overall, our examination of neuroanatomical heterogeneity within the CHR-P state indicated greater divergence in neuroanatomical profiles at an individual level, irrespective of psychosis conversion. Further large-scale investigations are required of those who demonstrate marked deviation.Rights/Terms
© 2022. The Author(s).Identifier to cite or link to this item
http://hdl.handle.net/10713/19503ae974a485f413a2113503eed53cd6c53
10.1038/s41398-022-02057-y
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