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

Authors :
Helen Baldwin
Joaquim Radua
Mathilde Antoniades
Shalaila S. Haas
Sophia Frangou
Ingrid Agartz
Paul Allen
Ole A. Andreassen
Kimberley Atkinson
Peter Bachman
Inmaculada Baeza
Cali F. Bartholomeusz
Michael W. L. Chee
Tiziano Colibazzi
Rebecca E. Cooper
Cheryl M. Corcoran
Vanessa L. Cropley
Bjørn H. Ebdrup
Adriana Fortea
Louise Birkedal Glenthøj
Holly K. Hamilton
Kristen M. Haut
Rebecca A. Hayes
Ying He
Karsten Heekeren
Michael Kaess
Kiyoto Kasai
Naoyuki Katagiri
Minah Kim
Jochen Kindler
Mallory J. Klaunig
Shinsuke Koike
Alex Koppel
Tina D. Kristensen
Yoo Bin Kwak
Jun Soo Kwon
Stephen M. Lawrie
Irina Lebedeva
Jimmy Lee
Ashleigh Lin
Rachel L. Loewy
Daniel H. Mathalon
Chantal Michel
Romina Mizrahi
Paul Møller
Barnaby Nelson
Takahiro Nemoto
Dorte Nordholm
Maria A. Omelchenko
Christos Pantelis
Jayachandra M. Raghava
Jan I. Røssberg
Wulf Rössler
Dean F. Salisbury
Daiki Sasabayashi
Ulrich Schall
Lukasz Smigielski
Gisela Sugranyes
Michio Suzuki
Tsutomu Takahashi
Christian K. Tamnes
Jinsong Tang
Anastasia Theodoridou
Sophia I. Thomopoulos
Alexander S. Tomyshev
Peter J. Uhlhaas
Tor G. Værnes
Therese A. M. J. van Amelsvoort
Theo G. M. Van Erp
James A. Waltz
Lars T. Westlye
Stephen J. Wood
Juan H. Zhou
Philip McGuire
Paul M. Thompson
Maria Jalbrzikowski
Dennis Hernaus
Paolo Fusar-Poli
the ENIGMA Clinical High Risk for Psychosis Working Group
Source :
Translational Psychiatry, Vol 12, Iss 1, Pp 1-11 (2022)
Publication Year :
2022
Publisher :
Nature Publishing Group, 2022.

Abstract

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.

Details

Language :
English
ISSN :
21583188
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Translational Psychiatry
Publication Type :
Academic Journal
Accession number :
edsdoj.171d30ff05a74141b0048edbfae71c7d
Document Type :
article
Full Text :
https://doi.org/10.1038/s41398-022-02057-y