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. © 2009 Laird, Eickhoff, Kurth, Fox, Uecker, Turner, Robinson, Lancaster and Fox.
CITATION STYLE
Laird, A. R., Eickhoff, S. B., Kurth, F., Fox, P. M., Uecker, A. M., Turner, J. A., … Fox, P. T. (2009). ALE meta-analysis workfl ows via the BrainMap database: Progress towards a probabilistic functional brain atlas. Frontiers in Neuroinformatics, 3(JUL). https://doi.org/10.3389/neuro.11.023.2009
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