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PubMed · 15846812

Meta-analysis of functional imaging data using replicator dynamics.

Jane Neumann·Gabriele Lohmann·Jan Derrfuss·D Yves von Cramon
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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.

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BrainData Interpretation, StatisticalHumansMagnetic Resonance ImagingMeta-Analysis as TopicJournal Article

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Jane Neumann, Gabriele Lohmann, Jan Derrfuss, D Yves von Cramon. 2005. Meta-analysis of functional imaging data using replicator dynamics.. https://doi.org/10.1002/hbm.20133

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