ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas

Overview

Journal Front Neuroinform

Specialty Neurology

Date 2009 Jul 29

PMID 19636392

Citations 218

Authors

Angela R Laird

Simon B Eickhoff

Florian Kurth

Peter M Fox

Angela M Uecker

Jessica A Turner

Jennifer L Robinson

Jack L Lancaster

Peter T Fox

Affiliations

Soon will be listed here.

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.

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