Literature DB >> 17636563

Test-retest and between-site reliability in a multicenter fMRI study.

Lee Friedman1, Hal Stern, Gregory G Brown, Daniel H Mathalon, Jessica Turner, Gary H Glover, Randy L Gollub, John Lauriello, Kelvin O Lim, Tyrone Cannon, Douglas N Greve, Henry Jeremy Bockholt, Aysenil Belger, Bryon Mueller, Michael J Doty, Jianchun He, William Wells, Padhraic Smyth, Steve Pieper, Seyoung Kim, Marek Kubicki, Mark Vangel, Steven G Potkin.   

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.

Mesh:

Year:  2008        PMID: 17636563      PMCID: PMC3670112          DOI: 10.1002/hbm.20440

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


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