A multi-scanner study of subcortical brain volume abnormalities in schizophrenia

Theo G M Van Erp; Douglas N. Greve; Jerod Rasmussen; Jessica Turner; Vince D. Calhoun; Sarah Young; Bryon Mueller; Gregory G. Brown; Gregory McCarthy; Gary H. Glover; Kelvin O. Lim; Juan R. Bustillo; Aysenil Belger; Sarah McEwen; James Voyvodic; Daniel H. Mathalon; David Keator; Adrian Preda; Dana Nguyen; Judith M. Ford; Steven G. Potkin

doi:10.1016/j.pscychresns.2014.02.011

A multi-scanner study of subcortical brain volume abnormalities in schizophrenia

Theo G M Van Erp, Douglas N. Greve, Jerod Rasmussen, Jessica Turner, Vince D. Calhoun, Sarah Young, Bryon Mueller, Gregory G. Brown, Gregory McCarthy, Gary H. Glover, Kelvin O. Lim, Juan R. Bustillo, Aysenil Belger, Sarah McEwen, James Voyvodic, Daniel H. Mathalon, David Keator, Adrian Preda, Dana Nguyen, Judith M. FordSteven G. Potkin

Psychiatry & Behavioral Sciences

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

Abstract

Schizophrenia patients show significant subcortical brain abnormalities. We examined these abnormalities using automated image analysis software and provide effect size estimates for prospective multi-scanner schizophrenia studies. Subcortical and intracranial volumes were obtained using FreeSurfer 5.0.0 from high-resolution structural imaging scans from 186 schizophrenia patients (mean age±S.D.=38.9±11.6, 78% males) and 176 demographically similar controls (mean age±S.D.=37.5±11.2, 72% males). Scans were acquired from seven 3-Tesla scanners. Univariate mixed model regression analyses compared between-group volume differences. Weighted mean effect sizes (and number of subjects needed for 80% power at α=0.05) were computed based on the individual single site studies as well as on the overall multi-site study. Schizophrenia patients have significantly smaller intracranial, amygdala, and hippocampus volumes and larger lateral ventricle, putamen and pallidum volumes compared with healthy volunteers. Weighted mean effect sizes based on single site studies were generally larger than effect sizes computed based on analysis of the overall multi-site sample. Prospectively collected structural imaging data can be combined across sites to increase statistical power for meaningful group comparisons. Even when using similar scan protocols at each scanner, some between-site variance remains. The multi-scanner effect sizes provided by this study should help in the design of future multi-scanner schizophrenia imaging studies.

Original language	English (US)
Pages (from-to)	10-16
Number of pages	7
Journal	Psychiatry Research - Neuroimaging
Volume	222
Issue number	1-2
DOIs	https://doi.org/10.1016/j.pscychresns.2014.02.011
State	Published - Apr 30 2014

Bibliographical note

Funding Information:
We are thankful to Liv McMillan for overall study coordination, Harry Mangalam, Joseph Farran, and Adam Brenner, for administering the University of California, Irvine High-Performance Computing cluster, and to the research subjects for their participation. This work was supported by the National Center for Research Resources at the National Institutes of Health (Grant nos. NIH 1 U24 RR021992 ( Function Biomedical Informatics Research Network ) and NIH 1 U24 RR025736-01 ( Biomedical Informatics Research Network Coordinating Center ; http://www.birncommunity.org ). The funding sources had no role in the study design, data collection, analysis, and interpretation of the data.

Keywords

Effect size
Imaging
Magnetic resonance imaging (MRI)
Psychosis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.pscychresns.2014.02.011

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Van Erp, T. G. M., Greve, D. N., Rasmussen, J., Turner, J., Calhoun, V. D., Young, S., Mueller, B., Brown, G. G., McCarthy, G., Glover, G. H., Lim, K. O., Bustillo, J. R., Belger, A., McEwen, S., Voyvodic, J., Mathalon, D. H., Keator, D., Preda, A., Nguyen, D., ... Potkin, S. G. (2014). A multi-scanner study of subcortical brain volume abnormalities in schizophrenia. Psychiatry Research - Neuroimaging, 222(1-2), 10-16. https://doi.org/10.1016/j.pscychresns.2014.02.011

Van Erp, TGM, Greve, DN, Rasmussen, J, Turner, J, Calhoun, VD, Young, S, Mueller, B, Brown, GG, McCarthy, G, Glover, GH, Lim, KO, Bustillo, JR, Belger, A, McEwen, S, Voyvodic, J, Mathalon, DH, Keator, D, Preda, A, Nguyen, D, Ford, JM & Potkin, SG 2014, 'A multi-scanner study of subcortical brain volume abnormalities in schizophrenia', Psychiatry Research - Neuroimaging, vol. 222, no. 1-2, pp. 10-16. https://doi.org/10.1016/j.pscychresns.2014.02.011

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abstract = "Schizophrenia patients show significant subcortical brain abnormalities. We examined these abnormalities using automated image analysis software and provide effect size estimates for prospective multi-scanner schizophrenia studies. Subcortical and intracranial volumes were obtained using FreeSurfer 5.0.0 from high-resolution structural imaging scans from 186 schizophrenia patients (mean age±S.D.=38.9±11.6, 78% males) and 176 demographically similar controls (mean age±S.D.=37.5±11.2, 72% males). Scans were acquired from seven 3-Tesla scanners. Univariate mixed model regression analyses compared between-group volume differences. Weighted mean effect sizes (and number of subjects needed for 80% power at α=0.05) were computed based on the individual single site studies as well as on the overall multi-site study. Schizophrenia patients have significantly smaller intracranial, amygdala, and hippocampus volumes and larger lateral ventricle, putamen and pallidum volumes compared with healthy volunteers. Weighted mean effect sizes based on single site studies were generally larger than effect sizes computed based on analysis of the overall multi-site sample. Prospectively collected structural imaging data can be combined across sites to increase statistical power for meaningful group comparisons. Even when using similar scan protocols at each scanner, some between-site variance remains. The multi-scanner effect sizes provided by this study should help in the design of future multi-scanner schizophrenia imaging studies.",

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note = "Funding Information: We are thankful to Liv McMillan for overall study coordination, Harry Mangalam, Joseph Farran, and Adam Brenner, for administering the University of California, Irvine High-Performance Computing cluster, and to the research subjects for their participation. This work was supported by the National Center for Research Resources at the National Institutes of Health (Grant nos. NIH 1 U24 RR021992 ( Function Biomedical Informatics Research Network ) and NIH 1 U24 RR025736-01 ( Biomedical Informatics Research Network Coordinating Center ; http://www.birncommunity.org ). The funding sources had no role in the study design, data collection, analysis, and interpretation of the data. ",

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AU - Young, Sarah

AU - Mueller, Bryon

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AU - Potkin, Steven G.

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A multi-scanner study of subcortical brain volume abnormalities in schizophrenia

Abstract

Bibliographical note

Keywords

UN SDGs

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