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- PMID: 21425392
- UKPMCID: 21425392
- DOI: 10.1002/hbm.21210
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The Neuro/PsyGRID calibration experiment: identifying sources of variance and bias in multicenter MRI studies.
Suckling, John; Barnes, Anna; Job, Dominic; Brennan, David; Lymer, Katherine; Dazzan, Paola; Marques, Tiago Reis; MacKay, Clare; McKie, Shane; Williams, Steve R; Williams, Steven C R; Deakin, Bill; Lawrie, Stephen
Human brain mapping. 2012;33(2):373-86.
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Full-text held externally
- PMID: 21425392
- UKPMCID: 21425392
- DOI: 10.1002/hbm.21210
Abstract
Calibration experiments precede multicenter trials to identify potential sources of variance and bias. In support of future imaging studies of mental health disorders and their treatment, the Neuro/PsyGRID consortium commissioned a calibration experiment to acquire functional and structural MRI from twelve healthy volunteers attending five centers on two occasions. Measures were derived of task activation from a working memory paradigm, fractal scaling (Hurst exponent) from resting fMRI, and grey matter distributions from T(1) -weighted sequences. At each intracerebral voxel a fixed-effects analysis of variance estimated components of variance corresponding to factors of center, subject, occasion, and within-occasion order, and interactions of center-by-occasion, subject-by-occasion, and center-by-subject, the latter (since there is no intervention) a surrogate of the expected variance of the treatment effect standard error across centers. A rank order test of between-center differences was indicative of crossover or noncrossover subject-by-center interactions. In general, factors of center, subject and error variance constituted >90% of the total variance, whereas occasion, order, and all interactions were generally <5%. Subject was the primary source of variance (70%-80%) for grey-matter, with error variance the dominant component for fMRI-derived measures. Spatially, variance was broadly homogenous with the exception of fractal scaling measures which delineated white matter, related to the flip angle of the EPI sequence. Maps of P values for the associated F-tests were also derived. Rank tests were highly significant indicating the order of measures across centers was preserved. In summary, center effects should be modeled at the voxel-level using existing and long-standing statistical recommendations.