Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/32991
Title: Feedback-loop between psychotic symptoms and brain volume: A cross-lagged panel model study.
Austin Authors: Castro-de-Araujo, Luis Fs;de Araujo, Jacyra Azevedo Paiva;Morais Xavier, Érika Fialho;Kanaan, Richard A A 
Affiliation: Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, P.O. Box 980126, Richmond, VA, 23298-0126, USA; Deptartment of Psychiatry, The University of Melbourne, Austin Health, Victoria, Australia.
Center of Data and Knowledge Integration for Health (CIDACS), Fiocruz, R. Mundo, 121. Salvador, Bahia, Brazil.
Psychiatry (University of Melbourne)
Issue Date: Jun-2023
Date: 2023
Publication information: Journal of Psychiatric Research 2023-06; 162
Abstract: Brain structural changes are known to be associated with psychotic symptoms, with worse symptoms consistently associated with brain volume loss in some areas. It is not clear whether volume and symptoms interfere with each other over the course of psychosis. In this paper, we analyse the temporal relationships between psychosis symptom severity and total gray matter volume. We applied a cross-lagged panel model to a public dataset from the NUSDAST cohorts. The subjects were assessed at three-time points: baseline, 24 months, and 48 months. Psychosis symptoms were measured by SANS and SAPS scores. The cohort contained 673 subjects with schizophrenia, healthy subjects and their siblings. There were significant effects of symptom severity on total gray matter volume and vice-versa. The worse the psychotic symptoms, the smaller the total gray volume, and the smaller the volume, the worse the symptomatology. There is a bidirectional temporal relationship between symptoms of psychosis and brain volume.
URI: https://ahro.austin.org.au/austinjspui/handle/1/32991
DOI: 10.1016/j.jpsychires.2023.05.032
ORCID: 
Journal: Journal of Psychiatric Research
Start page: 150
End page: 155
PubMed URL: 37156129
ISSN: 1879-1379
Type: Journal Article
Subjects: Brain volume
Causality
Schizophrenia
Psychotic Disorders/complications
Schizophrenia/complications
Schizophrenia/diagnostic imaging
Brain/diagnostic imaging
Appears in Collections:Journal articles

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