AUTHOR=Laird Angela R., Eickhoff Simon B., Kurth Florian , Fox Peter M., Uecker Angela M., Turner Jessica A., Robinson Jennifer L., Lancaster Jack L., Fox Peter T. TITLE=ALE meta-analysis workflows via the BrainMap database: progress towards a probabilistic functional brain atlas JOURNAL=Frontiers in Neuroinformatics VOLUME=3 YEAR=2009 URL=https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/neuro.11.023.2009 DOI=10.3389/neuro.11.023.2009 ISSN=1662-5196 ABSTRACT=

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.