TY - JOUR
T1 - A large scale (N = 400) investigation of gray matter differences in schizophrenia using optimized voxel-based morphometry
AU - Meda, Shashwath A.
AU - Giuliani, Nicole R.
AU - Calhoun, Vince D.
AU - Jagannathan, Kanchana
AU - Schretlen, David J.
AU - Pulver, Anne
AU - Cascella, Nicola
AU - Keshavan, Matcheri
AU - Kates, Wendy
AU - Buchanan, Robert
AU - Sharma, Tonmoy
AU - Pearlson, Godfrey D.
N1 - Funding Information:
This study was funded by the following grants: 2 RO1 MH43775 (MERIT Award), 1 RO1 MH074797, 5 RO1 MH52886-06 distinguished NARSAD investigator award to GP and in part by NIMH grants MH45203, 01180 (Keshavan), 45156 (Conte Center PI: David Lewis MD) and GCRC grant M01 RR00056. The NIMH had no further role in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication.
PY - 2008/4
Y1 - 2008/4
N2 - Background: Many studies have employed voxel-based morphometry (VBM) of MRI images as an automated method of investigating cortical gray matter differences in schizophrenia. However, results from these studies vary widely, likely due to different methodological or statistical approaches. Objective: To use VBM to investigate gray matter differences in schizophrenia in a sample significantly larger than any published to date, and to increase statistical power sufficiently to reveal differences missed in smaller analyses. Methods: Magnetic resonance whole brain images were acquired from four geographic sites, all using the same model 1.5T scanner and software version, and combined to form a sample of 200 patients with both first episode and chronic schizophrenia and 200 healthy controls, matched for age, gender and scanner location. Gray matter concentration was assessed and compared using optimized VBM. Results: Compared to healthy controls, schizophrenia patients showed significantly less gray matter concentration in multiple cortical and subcortical regions, some previously unreported. Overall, we found lower concentrations of gray matter in regions identified in prior studies, most of which reported only subsets of the affected areas. Conclusions: Gray matter differences in schizophrenia are most comprehensively elucidated using a large, diverse and representative sample.
AB - Background: Many studies have employed voxel-based morphometry (VBM) of MRI images as an automated method of investigating cortical gray matter differences in schizophrenia. However, results from these studies vary widely, likely due to different methodological or statistical approaches. Objective: To use VBM to investigate gray matter differences in schizophrenia in a sample significantly larger than any published to date, and to increase statistical power sufficiently to reveal differences missed in smaller analyses. Methods: Magnetic resonance whole brain images were acquired from four geographic sites, all using the same model 1.5T scanner and software version, and combined to form a sample of 200 patients with both first episode and chronic schizophrenia and 200 healthy controls, matched for age, gender and scanner location. Gray matter concentration was assessed and compared using optimized VBM. Results: Compared to healthy controls, schizophrenia patients showed significantly less gray matter concentration in multiple cortical and subcortical regions, some previously unreported. Overall, we found lower concentrations of gray matter in regions identified in prior studies, most of which reported only subsets of the affected areas. Conclusions: Gray matter differences in schizophrenia are most comprehensively elucidated using a large, diverse and representative sample.
KW - Gray matter
KW - Multi-site
KW - Schizophrenia
KW - Structural MRI
KW - Voxel based morphometry
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U2 - 10.1016/j.schres.2008.02.007
DO - 10.1016/j.schres.2008.02.007
M3 - Article
C2 - 18378428
AN - SCOPUS:43049109076
SN - 0920-9964
VL - 101
SP - 95
EP - 105
JO - Schizophrenia Research
JF - Schizophrenia Research
IS - 1-3
ER -