Functional brain mapping and activation likelihood estimation meta-analysis

Angela R. Laird; Jack L Lancaster; Peter T Fox

doi:10.1142/9789812814807_0026

Functional brain mapping and activation likelihood estimation meta-analysis

Angela R. Laird, Jack L Lancaster, Peter T Fox

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

In recent years, the increasing richness of data generated by fMRI and PET brain mapping studies has encouraged the growth of meta-analysis research. In response to this progress, a new method of quantitative, voxelbased meta-analysis, termed activation likelihood estimation (ALE), has been developed and applied in a number of cognitive and perceptual domains. Here, the method is discussed and findings froma meta-analysis of the Stroop task are highlighted.

Original language	English (US)
Title of host publication	Principles and Advanced Methods in Medical Imaging and Image Analysis
Publisher	World Scientific Publishing Co.
Pages	663-676
Number of pages	14
ISBN (Electronic)	9789812814807
ISBN (Print)	9789812705341
DOIs	https://doi.org/10.1142/9789812814807_0026
State	Published - Jan 1 2008
Externally published	Yes

ASJC Scopus subject areas

General Medicine

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10.1142/9789812814807_0026

Cite this

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Functional brain mapping and activation likelihood estimation meta-analysis

Abstract

ASJC Scopus subject areas

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