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