Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/17348
Title: Schizophrenia moderates the relationship between white matter integrity and cognition.
Austin Authors: Castro-de-Araujo, Luis F S;Allin, Mathew;Picchioni, Marco M;Mcdonald, Colm;Pantelis, Christos;Kanaan, Richard A A 
Affiliation: CAPES Foundation, Ministry of Education of Brazil, Brasília-DF, Brazil
Department of Psychiatry, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
Institute of Psychiatry, King's College, London, UK
Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
National University of Ireland (NUI), Galway, Ireland
Department of Psychiatry, University of Melbourne, Parkville, Victoria, Australia
Issue Date: 2018
metadata.dc.date: 2018-03-27
Publication information: Schizophrenia research 2018; 199: 250-256
Abstract: Cognitive impairment is a primary feature of schizophrenia, with alterations in several cognitive domains appearing in the pre-morbid phase of the disorder. White matter microstructure is also affected in schizophrenia and considered to be related to cognition, but the relationship of the two is unclear. As interaction between cognition and white matter structure involves the interplay of several brain structures and cognitive abilities, investigative methods which can examine the interaction of multiple variables are preferred. A multiple-groups structural equation model (SEM) was used to assess the relationship between diffusion tension imaging data (fractional anisotropy of selected white matter tracts) and cognitive abilities of 196 subjects - 135 healthy subjects and 61 patients with schizophrenia. It was found that multiple-indicators, multiple-causes model best fitted the data analysed. Schizophrenia moderated the relation of white matter function on cognition with a large effect size. This paper extends previous work on modelling intelligence within a SEM framework by incorporating neurological elements into the model, and shows that white matter microstructure in patients with schizophrenia interacts with cognitive abilities.
URI: http://ahro.austin.org.au/austinjspui/handle/1/17348
DOI: 10.1016/j.schres.2018.03.033
ORCID: 0000-0003-0992-1917
PubMed URL: 29602641
Type: Journal Article
Subjects: Cognitive tests
Linear models
Statistical models
Appears in Collections:Journal articles

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