Adjustment of Regional Cortical Thickness Measures for Global Cortical Thickness Obscures Deficits Across the Schizophrenia Spectrum: A Cautionary Note about Normative Modeling of Brain Imaging Data.

clinical high-risk for psychosis global covariate global mean cortical thickness intracranial volume regional cortical thickness schizophrenia

Journal

Biological psychiatry. Cognitive neuroscience and neuroimaging
ISSN: 2451-9030
Titre abrégé: Biol Psychiatry Cogn Neurosci Neuroimaging
Pays: United States
ID NLM: 101671285

Informations de publication

Date de publication:
20 Jun 2024
Historique:
received: 31 01 2024
revised: 07 06 2024
accepted: 12 06 2024
medline: 23 6 2024
pubmed: 23 6 2024
entrez: 22 6 2024
Statut: aheadofprint

Résumé

Recent neuroimaging studies and publicly-disseminated analytic tools advocate that regional morphometric analyses covary for global thickness. We empirically demonstrate that this statistical approach severely underestimates regional thickness dysmorphology in psychiatric disorders. Study 1 included 90 healthy controls, 51 clinical high-risk for psychosis, and 78 early illness schizophrenia participants. Study 2 included 56 healthy controls, 83 non-affective psychosis, and 30 affective psychosis participants. We examined global and regional thickness correlations, global thickness group differences, and regional thickness group differences with/without global thickness covariation. Global and regional thickness were strongly correlated across groups. Global thickness was lower in schizophrenia-spectrum groups versus other groups. Regional thickness deficits in schizophrenia-spectrum groups were attenuated/eliminated with global thickness covariation. Depriving regional thickness of its shared variance with global thickness removes disease-related effects. This statistical method results in erroneous conclusions that regional thickness is normal in disorders like schizophrenia or clinical high-risk syndrome.

Identifiants

pubmed: 38908749
pii: S2451-9022(24)00159-9
doi: 10.1016/j.bpsc.2024.06.001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Jessica P Y Hua (JPY)

Mental Health Service, San Francisco VA Health Care System, San Francisco, CA 94121; Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143.

Susanna L Fryer (SL)

Mental Health Service, San Francisco VA Health Care System, San Francisco, CA 94121; Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143.

Barbara Stuart (B)

Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143.

Rachel L Loewy (RL)

Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143.

Sophia Vinogradov (S)

Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN.

Daniel H Mathalon (DH)

Mental Health Service, San Francisco VA Health Care System, San Francisco, CA 94121; Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143. Electronic address: daniel.mathalon@ucsf.edu.

Classifications MeSH