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000005390 1001_ $$0P:(DE-HGF)0$$aLaird, A.R.$$b0
000005390 245__ $$aALE meta-analysis workflows via the BrainMap database: progress towards a probabilistic functional brain altlas
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000005390 440_0 $$021024$$aFrontiers in Neuroinformatics$$v3$$x1662-5196$$y23
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000005390 520__ $$aWith 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.
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000005390 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, S. B.$$b1$$uFZJ
000005390 7001_ $$0P:(DE-Juel1)VDB67936$$aKurth, F.$$b2$$uFZJ
000005390 7001_ $$0P:(DE-HGF)0$$aFox, P.M.$$b3
000005390 7001_ $$0P:(DE-HGF)0$$aUecker, A.M.$$b4
000005390 7001_ $$0P:(DE-HGF)0$$aTurner, J.A.$$b5
000005390 7001_ $$0P:(DE-HGF)0$$aRobinson, J.L.$$b6
000005390 7001_ $$0P:(DE-HGF)0$$aLancaster, J.L.$$b7
000005390 7001_ $$0P:(DE-HGF)0$$aFox, P.T.$$b8
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