Journal article
Voxel-based Morphometric Multisite Collaborative Study on Schizophrenia
Schizophrenia bulletin, Vol.35(1), pp.82-95
01/2009
DOI: 10.1093/schbul/sbn150
PMCID: PMC2643956
PMID: 18997157
Abstract
Regional gray matter (GM) abnormalities are well known to exist in patients with chronic schizophrenia. Voxel-based morphometry (VBM) has been previously used on structural magnetic resonance images (MRI) data to characterize these abnormalities. Two multisite schizophrenia studies, the Functional Biomedical Informatics Research Network and the Mind Clinical Imaging Consortium, which include 9 data collection sites, are evaluating the efficacy of pooling structural imaging data across imaging centers. Such a pooling of data could yield the increased statistical power needed to elucidate effects that may not be seen with smaller samples. VBM analyses were performed to evaluate the consistency of patient versus control gray matter concentration (GMC) differences across the study sites, as well as the effects of combining multisite data. Integration of data from both studies yielded a large sample of 503 subjects, including 266 controls and 237 patients diagnosed with schizophrenia, schizoaffective or schizophreniform disorder. The data were analyzed using the combined sample, as well as analyzing each of the 2 multisite studies separately. A consistent pattern of reduced relative GMC in schizophrenia patients compared with controls was found across all study sites. Imaging center-specific effects were evaluated using a region of interest analysis. Overall, the findings support the use of VBM in combined multisite studies. This analysis of schizophrenics and controls from around the United States provides continued supporting evidence for GM deficits in the temporal lobes, anterior cingulate, and frontal regions in patients with schizophrenia spectrum disorders.
Details
- Title: Subtitle
- Voxel-based Morphometric Multisite Collaborative Study on Schizophrenia
- Creators
- Judith M Segall - Department of Psychiatry, Yale University, New Haven, CTJessica A Turner - Department of Psychiatry, Yale University, New Haven, CTTheo G.M van Erp - Department of Psychiatry, Yale University, New Haven, CTTonya White - Department of Psychiatry, Yale University, New Haven, CTH. Jeremy Bockholt - Department of Psychiatry, Yale University, New Haven, CTRandy L Gollub - Department of Psychiatry, Yale University, New Haven, CTBeng C Ho - Department of Psychiatry, Yale University, New Haven, CTVince Magnotta - Department of Psychiatry, Yale University, New Haven, CTRex E Jung - Department of Psychiatry, Yale University, New Haven, CTRobert W McCarley - Department of Psychiatry, Yale University, New Haven, CTS. Charles Schulz - Department of Psychiatry, Yale University, New Haven, CTJohn Lauriello - Department of Psychiatry, Yale University, New Haven, CTVince P Clark - Department of Psychiatry, Yale University, New Haven, CTJames T Voyvodic - Department of Psychiatry, Yale University, New Haven, CTMichele T Diaz - Department of Psychiatry, Yale University, New Haven, CTVince D Calhoun - Department of Psychiatry, Yale University, New Haven, CT
- Resource Type
- Journal article
- Publication Details
- Schizophrenia bulletin, Vol.35(1), pp.82-95
- DOI
- 10.1093/schbul/sbn150
- PMID
- 18997157
- PMCID
- PMC2643956
- NLM abbreviation
- Schizophr Bull
- ISSN
- 0586-7614
- eISSN
- 1745-1701
- Publisher
- Oxford University Press
- Language
- English
- Date published
- 01/2009
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Psychiatry; Iowa Neuroscience Institute
- Record Identifier
- 9984003981902771
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