%0 Journal Article
%A Laird, A.R.
%A Eickhoff, S. B.
%A Kurth, F.
%A Fox, P.M.
%A Uecker, A.M.
%A Turner, J.A.
%A Robinson, J.L.
%A Lancaster, J.L.
%A Fox, P.T.
%T ALE meta-analysis workflows via the BrainMap database: progress towards a probabilistic functional brain altlas
%J Frontiers in Neuroinformatics
%V 3
%@ 1662-5196
%C Lausanne
%I Frontiers Research Foundation
%M PreJuSER-5390
%P 1 - 11
%D 2009
%Z Record converted from VDB: 12.11.2012
%X With the ever-increasing number of studies in human functional brain mapping, an abundance of data has been generated that is ready to be synthesized and modeled on a large scale. The BrainMap database archives peak coordinates from published neuroimaging studies, along with the corresponding metadata that summarize the experimental design. BrainMap was designed to facilitate quantitative meta-analysis of neuroimaging results reported in the literature and supports the use of the activation likelihood estimation (ALE) method. In this paper, we present a discussion of the potential analyses that are possible using the BrainMap database and coordinate-based ALE meta-analyses, along with some examples of how these tools can be applied to create a probabilistic atlas and ontological system of describing function-structure correspondences.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:19636392
%2 pmc:PMC2715269
%R 10.3389/neuro.11.023.2009
%U https://juser.fz-juelich.de/record/5390