期刊
HUMAN BRAIN MAPPING
卷 30, 期 3, 页码 711-724出版社
WILEY
DOI: 10.1002/hbm.20540
关键词
schizophrenia; structural MRI; source-based morphometry; independent component analysis; voxel-based morphometry
资金
- National Institute of Health [1 R01 EB 000840, 1 R01 EB 005846, 2 R01 MH43775, 5 R01 MH52886]
- NARSAD Distinguished Investigator Award
- Division of Computing and Communication Foundations
- Direct For Computer & Info Scie & Enginr [GRANTS:13775188, 0840895] Funding Source: National Science Foundation
We present a multivariate alternative to the voxel-based morphometry (VBM) approach called source-based morphometry (SBM), to study gray matter differences between patients and healthy controls. The SBM approach begins with the same preprocessing procedures as VBM. Next, independent component analysis is used to identify naturally grouping, maximally independent sources. Finally, statistical analyses are used to determine the significant sources and their relationship to other variables. The identified source networks, groups of spatially distinct regions with common covariation among subjects, provide information about localization of gray matter changes and their variation among individuals. In this study, we first compared VBM and SBM via a simulation and then applied both methods to real data obtained from 120 chronic schizophrenia patients and 120 healthy controls. SBM identified five gray matter sources as significantly associated with schizophrenia. These included sources in the bilateral temporal lobes, thalamus, basal ganglia, parietal lobe, and frontotemporal regions. None of these showed an effect of sex. Two sources in the bilateral temporal and parietal lobes showed age-related reductions. The most significant source of schizophrenia-related gray matter changes identified by SBM occurred in the bilateral temporal lobe, while the most significant change found by VBM occurred in the thalamus. The SBM approach found changes not identified by VBM in basal ganglia, parietal, and occipital lobe. These findings show that SBM is a multivariate alternative to VBM, with wide applicability to studying changes in brain structure. Hum Brain Mapp 30:711-724, 2009. (c) 2008 Wiley-Liss, Inc.
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