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Hum Brain Mapp. 2005 May;25(1):165-73.

Meta-analysis of functional imaging data using replicator dynamics.

Author information

1
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. neumann@cbs.mpg.de

Abstract

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.

PMID:
15846812
DOI:
10.1002/hbm.20133
[Indexed for MEDLINE]

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