The coordinate-based meta-analysis of neuroimaging data

TL;DR

This paper reviews various methods for neuroimaging meta-analysis, highlighting their advantages and limitations, and demonstrates their application on emotion studies, while discussing open challenges for future research.

Contribution

It provides a comprehensive review of existing neuroimaging meta-analysis methods, including a practical demonstration and discussion of unresolved issues.

Findings

Different methodologies have unique benefits and drawbacks.

Application to emotion studies illustrates practical use.

Highlights open problems for future research.

Abstract

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.