Please use this identifier to cite or link to this item:
Title: First episode psychosis moderates the effect of gray matter volume on cognition
Austin Authors: Castro-de-Araujo, Luis F S;Kanaan, Richard A A 
Affiliation: CAPES Foundation, Ministry of Education of Brazil, Brasília, Brazil
University of Melbourne, Department of Psychiatry, Austin Health, Heidelberg, Victoria, Australia
Issue Date: 30-Aug-2017 2017-06-15
Publication information: Psychiatry Research: Neuroimaging 2017; 266: 108-113
Abstract: Patients with first episode psychosis (FEP) present with cognitive deficits and volume differences in certain brain areas. Brain volumetric information further correlates with cognitive testing, and multiple brain areas shows different strengths of correlation with the cognitive functions being tested. Traditionally, these cognitive functions are independently related to volumetric differences, but these functions share variance. Failing to account for this aspect of cognition hinders the proper representation of cognition in neuroimaging studies. We used modeling methods which account for this shared variance to investigate the differences of correlations between cognitive abilities and brain areas. A multiple-groups structured equation model (SEM) approach was used to design and test a model representing the relation between gray matter volumetric data and neuropsychological test scores in a sample of 100 Brazilian FEP patients and 94 controls. Models with a latent variable formed by neurological measures and reflecting cognitive measures performed better on fit tests. FEP moderated the relation between gray matter volumes and cognition by altering the profile of correlations between groups. This moderation had a large effect size. SEM provides a fine grained picture of the interdependence of structural brain changes and cognition.
DOI: 10.1016/j.pscychresns.2017.06.007
ORCID: 0000-0003-0992-1917
PubMed URL:
Type: Journal Article
Subjects: Cognition
Cognitive test
Linear model
Statistical models
Structural equation model
Appears in Collections:Journal articles

Show full item record

Google ScholarTM


Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.