TY - JOUR
T1 - Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosis
AU - Baldwin, Helen
AU - Radua, Joaquim
AU - Antoniades, Mathilde
AU - Haas, Shalaila S.
AU - Frangou, Sophia
AU - Agartz, Ingrid
AU - Allen, Paul
AU - Andreassen, Ole A.
AU - Atkinson, Kimberley
AU - Bachman, Peter
AU - Baeza, Inmaculada
AU - Bartholomeusz, Cali F.
AU - Chee, Michael W.L.
AU - Colibazzi, Tiziano
AU - Cooper, Rebecca E.
AU - Corcoran, Cheryl M.
AU - Cropley, Vanessa L.
AU - Ebdrup, Bjørn H.
AU - Fortea, Adriana
AU - Glenthøj, Louise Birkedal
AU - Hamilton, Holly K.
AU - Haut, Kristen M.
AU - Hayes, Rebecca A.
AU - He, Ying
AU - Heekeren, Karsten
AU - Kaess, Michael
AU - Kasai, Kiyoto
AU - Katagiri, Naoyuki
AU - Kim, Minah
AU - Kindler, Jochen
AU - Klaunig, Mallory J.
AU - Koike, Shinsuke
AU - Koppel, Alex
AU - Kristensen, Tina D.
AU - Bin Kwak, Yoo
AU - Kwon, Jun Soo
AU - Lawrie, Stephen M.
AU - Lebedeva, Irina
AU - Lee, Jimmy
AU - Lin, Ashleigh
AU - Loewy, Rachel L.
AU - Mathalon, Daniel H.
AU - Michel, Chantal
AU - Mizrahi, Romina
AU - Nordholm, Dorte
AU - Pantelis, Christos
AU - Glenthøj, Birte Yding
AU - Nordentoft, Merete
AU - Sørensen, Mikkel E.
AU - Wenneberg, Christina
AU - the ENIGMA Clinical High Risk for Psychosis Working Group
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
U2 - 10.1038/s41398-022-02057-y
DO - 10.1038/s41398-022-02057-y
M3 - Journal article
C2 - 35882855
AN - SCOPUS:85135084731
VL - 12
JO - Translational Psychiatry
JF - Translational Psychiatry
SN - 2158-3188
IS - 1
M1 - 297
ER -