Meta-analysis of functional imaging data using replicator dynamics

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Title:	Meta-analysis of functional imaging data using replicator dynamics
Author(s):	Neumann, J.; Lohmann, G.; Derrfuss, J. ; Cramon, D.Y. von
Publication year:	2005
Source:	Human Brain Mapping, vol. 25, iss. 1, (2005), pp. 165-173
ISSN:	1065-9471
DOI:	https://doi.org/10.1002/hbm.20133
Publication type:	Article / Letter to editor
Please use this identifier to cite or link to this item : http://hdl.handle.net/2066/197071
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Subject:	Biological psychology Biologische psychologie
Organization:	SW OZ DCC SMN
Journal title:	Human Brain Mapping
Volume:	vol. 25
Issue:	iss. 1
Page start:	p. 165
Page end:	p. 173
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.