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© Institute of Mathematical Statistics, 2017. Neuroimaging meta-analysis is an area of growing interest in statistics. The special characteristics of neuroimaging data render classical meta-analysis methods inapplicable and therefore new methods have been developed. We review existing methodologies, explaining the benefits and drawbacks of each. A demonstration on a real dataset of emotion studies is included. We discuss some still-open problems in the field to highlight the need for future research.

Original publication

DOI

10.1214/17-STS624

Type

Journal article

Journal

Statistical Science

Publication Date

01/11/2017

Volume

32

Pages

580 - 599