Research Article
Test–retest and between-site reliability in a multicenter fMRI study
Article first published online: 17 JUL 2007
DOI: 10.1002/hbm.20440
Copyright © 2007 Wiley-Liss, Inc.
Additional Information
How to Cite
Friedman, L., Stern, H., Brown, G. G., Mathalon, D. H., Turner, J., Glover, G. H., Gollub, R. L., Lauriello, J., Lim, K. O., Cannon, T., Greve, D. N., Bockholt, H. J., Belger, A., Mueller, B., Doty, M. J., He, J., Wells, W., Smyth, P., Pieper, S., Kim, S., Kubicki, M., Vangel, M. and Potkin, S. G. (2008), Test–retest and between-site reliability in a multicenter fMRI study. Human Brain Mapping, 29: 958–972. doi: 10.1002/hbm.20440
Publication History
- Issue published online: 11 JUL 2008
- Article first published online: 17 JUL 2007
- Manuscript Accepted: 23 MAY 2007
- Manuscript Received: 20 JUN 2006
Funded by
- National Center for Research Resources (NCRR)
- National Institutes of Health (NIH). Grant Number: 1 U24 RR021992
- The MIND Institute
- Abstract
- Article
- References
- Cited By
Keywords:
- test–retest;
- reproducibility;
- intraclass correlation coefficient;
- multicenter;
- FMRI
Abstract
In the present report, estimates of test–retest and between-site reliability of fMRI assessments were produced in the context of a multicenter fMRI reliability study (FBIRN Phase 1, www.nbirn.net). Five subjects were scanned on 10 MRI scanners on two occasions. The fMRI task was a simple block design sensorimotor task. The impulse response functions to the stimulation block were derived using an FIR-deconvolution analysis with FMRISTAT. Six functionally-derived ROIs covering the visual, auditory and motor cortices, created from a prior analysis, were used. Two dependent variables were compared: percent signal change and contrast-to-noise-ratio. Reliability was assessed with intraclass correlation coefficients derived from a variance components analysis. Test–retest reliability was high, but initially, between-site reliability was low, indicating a strong contribution from site and site-by-subject variance. However, a number of factors that can markedly improve between-site reliability were uncovered, including increasing the size of the ROIs, adjusting for smoothness differences, and inclusion of additional runs. By employing multiple steps, between-site reliability for 3T scanners was increased by 123%. Dropping one site at a time and assessing reliability can be a useful method of assessing the sensitivity of the results to particular sites. These findings should provide guidance toothers on the best practices for future multicenter studies. Hum Brain Mapp, 2008. © 2007 Wiley-Liss, Inc.

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