Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosis
brain
Clinical Sciences
150
SEGMENTATION
610 Medicine & health
Neurosciences. Biological psychiatry. Neuropsychiatry
SURFACE-BASED ANALYSIS
Article
03 medical and health sciences
0302 clinical medicine
SDG 3 - Good Health and Well-being
Clinical Research
SCHIZOPHRENIA
Psychology
Humans
VDP::Medisinske Fag: 700
:Medicine [Science]
psychosis
VULNERABILITY
ENIGMA Clinical High Risk for Psychosis Working Group
ABNORMALITIES
Prevention
Neurosciences
Brain
BRAIN STRUCTURE
cortical thickness
100
Serious Mental Illness
Brain/diagnostic imaging
Magnetic Resonance Imaging
3. Good health
Neuroanatomy
Mental Health
Psychotic Disorders
ULTRA-HIGH RISK
ONSET
VOLUME
Public Health and Health Services
Psychotic Disorders/complications
Biomedical Imaging
heterogeneity
HUMAN CEREBRAL-CORTEX
RC321-571
DOI:
10.1038/s41398-022-02057-y
Publication Date:
2022-07-26T07:02:54Z
AUTHORS (112)
ABSTRACT
AbstractIndividuals 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.
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CITATIONS (26)
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