Pooling fMRI data: meta-analysis, mega-analysis and multi-center studies
Frontiers in NeuroinformaticsPublished 1 January 2009Open access
Sergi G. Costafreda
Citations166
SJR quartileQ2
SJR score0.71
SNIP0.88
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TL;DR
Current limitations in function-location brain mapping and how data-pooling can be used to remediate them are reviewed, with particular attention to power aggregation and mitigation of false positive results.
Abstract
The quantitative analysis of pooled data from related functional magnetic resonance imaging (fMRI) experiments has the potential to significantly accelerate progress in brain mapping. Such data-pooling can be achieved through meta-analysis (the pooled analysis of published results), mega-analysis (the pooled analysis of raw data) or multi-site studies, which can be seen as designed mega-analyses. Current limitations in function-location brain mapping and how data-pooling can be used to remediate them are reviewed, with particular attention to power aggregation and mitigation of false positive results. Some recently developed analysis tools for meta- and mega-analysis are also presented, and recommendations for the conduct of valid fMRI data pooling are formulated.
Keywords
Neuroscience
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