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Meta-analysis of functional imaging data using replicator dynamics
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DOI：10.1002/hbm.20133.png)
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Abstract
En 中文
Despite the rapidly growing number of meta-analyses in functional neuroimaging, the field lacks formal mathematical tools for the quantitative and qualitative evaluation of meta-analytic data. We propose to use replicator dynamics in the meta-analysis of functional imaging data to address an important aspect of neuroimaging research, the search for functional networks of cortical areas that underlie a specific cognitive task. The replicator process requires as input only a list of activation locations, and it results in a network of locations that jointly show significant activation in most studies included in the meta-analysis. These locations are likely to play a critical role in solving the investigated cognitive task. Our method was applied to a meta-analysis of the Stroop interference task using data provided by the publicly accessible database BrainMap DBJ. (c) 2005 Wiley-Liss, Inc.
Keywords:
functional neuroimaging
fMRI
mathematical analysis
replicator dynamics
meta-analysis
BrainMap DBJ
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