title: ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas.
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.
authors.affiliation: Research Imaging Center, University of Texas Health Science Center San Antonio, TX, USA.
authors.forename: Angela R
authors.initials: AR
authors.lastname: Laird
authors.forename: Simon B
authors.initials: SB
authors.lastname: Eickhoff
authors.forename: Florian
authors.initials: F
authors.lastname: Kurth
authors.forename: Peter M
authors.initials: PM
authors.lastname: Fox
authors.forename: Angela M
authors.initials: AM
authors.lastname: Uecker
authors.forename: Jessica A
authors.initials: JA
authors.lastname: Turner
authors.forename: Jennifer L
authors.initials: JL
authors.lastname: Robinson
authors.forename: Jack L
authors.initials: JL
authors.lastname: Lancaster
authors.forename: Peter T
authors.initials: PT
authors.lastname: Fox