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Improving the Eligibility of Task-Based fMRI Studies for Meta-Analysis: A Review and Reporting Recommendations.

Authors :
Acar, Freya
Maumet, Camille
Heuten, Talia
Vervoort, Maya
Bossier, Han
Seurinck, Ruth
Moerkerke, Beatrijs
Source :
NeuroInformatics; Jan2024, Vol. 22 Issue 1, p5-22, 18p
Publication Year :
2024

Abstract

Decisions made during the analysis or reporting of an fMRI study influence the eligibility of that study to be entered into a meta-analysis. In a meta-analysis, results of different studies on the same topic are combined. To combine the results, it is necessary that all studies provide equivalent pieces of information. However, in task-based fMRI studies we see a large variety in reporting styles. Several specific meta-analysis methods have been developed to deal with the reporting practices occurring in task-based fMRI studies, therefore each requiring a specific type of input. In this manuscript we provide an overview of the meta-analysis methods and the specific input they require. Subsequently we discuss how decisions made during the study influence the eligibility of a study for a meta-analysis and finally we formulate some recommendations about how to report an fMRI study so that it complies with as many meta-analysis methods as possible. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15392791
Volume :
22
Issue :
1
Database :
Complementary Index
Journal :
NeuroInformatics
Publication Type :
Academic Journal
Accession number :
175876857
Full Text :
https://doi.org/10.1007/s12021-023-09643-5