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

Authors :
Baldwin H
Radua J
Antoniades M
Haas SS
Frangou S
Agartz I
Allen P
Andreassen OA
Atkinson K
Bachman P
Baeza I
Bartholomeusz CF
Chee MWL
Colibazzi T
Cooper RE
Corcoran CM
Cropley VL
Ebdrup BH
Fortea A
Glenthøj LB
Hamilton HK
Haut KM
Hayes RA
He Y
Heekeren K
Kaess M
Kasai K
Katagiri N
Kim M
Kindler J
Klaunig MJ
Koike S
Koppel A
Kristensen TD
Bin Kwak Y
Kwon JS
Lawrie SM
Lebedeva I
Lee J
Lin A
Loewy RL
Mathalon DH
Michel C
Mizrahi R
Møller P
Nelson B
Nemoto T
Nordholm D
Omelchenko MA
Pantelis C
Raghava JM
Røssberg JI
Rössler W
Salisbury DF
Sasabayashi D
Schall U
Smigielski L
Sugranyes G
Suzuki M
Takahashi T
Tamnes CK
Tang J
Theodoridou A
Thomopoulos SI
Tomyshev AS
Uhlhaas PJ
Værnes TG
van Amelsvoort TAMJ
Van Erp TGM
Waltz JA
Westlye LT
Wood SJ
Zhou JH
McGuire P
Thompson PM
Jalbrzikowski M
Hernaus D
Fusar-Poli P
Source :
Translational psychiatry [Transl Psychiatry] 2022 Jul 26; Vol. 12 (1), pp. 297. Date of Electronic Publication: 2022 Jul 26.
Publication Year :
2022

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 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.<br /> (© 2022. The Author(s).)

Details

Language :
English
ISSN :
2158-3188
Volume :
12
Issue :
1
Database :
MEDLINE
Journal :
Translational psychiatry
Publication Type :
Academic Journal
Accession number :
35882855
Full Text :
https://doi.org/10.1038/s41398-022-02057-y