Coordinate-Based Meta-Analysis using Activation Likelihood Estimation (ALE)

Angela Laird
University of Texas Health Science Center at San Antonio

Functional neuroimaging studies establish function-location correlations in the human brain using imaging modalities such as functional magnetic resonance imaging (fMRI) and positron emission tomography (PET). A vast amount of research has been published in this field in the last two decades, involving a wide array of tasks and cognitive or perceptual processes. Recently, quantitative meta-analysis methods have been developed to assimilate results from across these studies, with the ultimate goal of constructing a human functional brain atlas. Activation likelihood estimation (ALE) is a popular method of performing voxel-wise, coordinate-based meta-analyses. Multiple meta-analytic strategies and applications will be presented, including a meta-analysis of the Stroop task, a well-known test of response inhibition.

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