The Neuro/PsyGRID Calibration Experiment: Identifying Sources of Variance and Bias in Multicenter MRI Studies

被引:30
作者
Suckling, John [1 ,2 ]
Barnes, Anna [1 ,2 ]
Job, Dominic [3 ]
Brennan, David [4 ]
Lymer, Katherine [5 ]
Dazzan, Paola [6 ]
Marques, Tiago Reis [6 ]
MacKay, Clare [7 ]
McKie, Shane [8 ]
Williams, Steve R.
Williams, Steven C. R. [9 ]
Deakin, Bill [8 ]
Lawrie, Stephen [3 ]
机构
[1] Univ Cambridge, Dept Psychiat, Brain Mapping Unit, Cambridge CB2 0SZ, England
[2] Univ Cambridge, Behav & Clin Neurosci Inst, Brain Mapping Unit, Cambridge CB2 0SZ, England
[3] Univ Edinburgh, Dept Psychiat, Sch Mol & Clin Med, Edinburgh EH8 9YL, Midlothian, Scotland
[4] So Gen Hosp, Inst Neurol Sci, Glasgow G51 4TF, Lanark, Scotland
[5] Univ Edinburgh, Div Clin Neurosci, SFC Brain Imaging Res Ctr, SINAPSE Collaborat, Edinburgh, Midlothian, Scotland
[6] Kings Coll London, Dept Psychosis Studies, Inst Psychiat, London WC2R 2LS, England
[7] Univ Oxford, Dept Psychiat, Oxford, England
[8] Univ Manchester, Neurosci & Psychiat Unit, Manchester, Lancs, England
[9] Kings Coll London, Inst Psychiat, Ctr Neuroimaging Sci, London WC2R 2LS, England
基金
英国医学研究理事会;
关键词
magnetic resonance imaging; multicentre; variance components; rank test; MAGNETIC-RESONANCE; CLINICAL-TRIALS; FUNCTIONAL MRI; SAMPLE-SIZE; HUMAN BRAIN; 1.5; T; FMRI; NOISE; IMAGES; PERMUTATION;
D O I
10.1002/hbm.21210
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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 T1-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. Hum Brain Mapp, 2012. (C) 2011 Wiley Periodicals, Inc.
引用
收藏
页码:373 / 386
页数:14
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