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Patterns of regional gray matter loss at different stages of schizophrenia: A multisite, cross-sectional VBM study in first-episode and chronic illness

Authors :
Ulysses S. Torres
Fabio L.S. Duran
Maristela S. Schaufelberger
José A.S. Crippa
Mario R. Louzã
Paulo C. Sallet
Caroline Y.O. Kanegusuku
Helio Elkis
Wagner F. Gattaz
Débora P. Bassitt
Antonio W. Zuardi
Jaime Eduardo C. Hallak
Claudia C. Leite
Claudio C. Castro
Antonio Carlos Santos
Robin M. Murray
Geraldo F. Busatto
Source :
NeuroImage: Clinical, Vol 12, Iss C, Pp 1-15 (2016)
Publication Year :
2016
Publisher :
Elsevier, 2016.

Abstract

Background: Structural brain abnormalities in schizophrenia have been repeatedly demonstrated in magnetic resonance imaging (MRI) studies, but it remains unclear whether these are static or progressive in nature. While longitudinal MRI studies have been traditionally used to assess the issue of progression of brain abnormalities in schizophrenia, information from cross-sectional neuroimaging studies directly comparing first-episode and chronic schizophrenia patients to healthy controls may also be useful to further clarify this issue. With the recent interest in multisite mega-analyses combining structural MRI data from multiple centers aiming at increased statistical power, the present multisite voxel-based morphometry (VBM) study was carried out to examine patterns of brain structural changes according to the different stages of illness and to ascertain which (if any) of such structural abnormalities would be specifically correlated to potential clinical moderators, including cumulative exposure to antipsychotics, age of onset, illness duration and overall illness severity. Methods: We gathered a large sample of schizophrenia patients (161, being 99 chronic and 62 first-episode) and controls (151) from four previous morphometric MRI studies (1.5 T) carried out in the same geographical region of Brazil. Image processing and analyses were conducted using Statistical Parametric Mapping (SPM8) software with the diffeomorphic anatomical registration through exponentiated Lie algebra (DARTEL) algorithm. Group effects on regional gray matter (GM) volumes were investigated through whole-brain voxel-wise comparisons using General Linear Model Analysis of Co-variance (ANCOVA), always including total GM volume, scan protocol, age and gender as nuisance variables. Finally, correlation analyses were performed between the aforementioned clinical moderators and regional and global brain volumes. Results: First-episode schizophrenia subjects displayed subtle volumetric deficits relative to controls in a circumscribed brain regional network identified only in small volume-corrected (SVC) analyses (p

Details

Language :
English
ISSN :
22131582
Volume :
12
Issue :
C
Database :
Directory of Open Access Journals
Journal :
NeuroImage: Clinical
Publication Type :
Academic Journal
Accession number :
edsdoj.f399817feda4c30a512345dd1739390
Document Type :
article
Full Text :
https://doi.org/10.1016/j.nicl.2016.06.002