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

被引:0
作者
Freya Acar
Camille Maumet
Talia Heuten
Maya Vervoort
Han Bossier
Ruth Seurinck
Beatrijs Moerkerke
机构
[1] Ghent University,Department of Data
[2] Empenn ERL U 1228,Analysis, Faculty of Psychology and Educational Science
来源
Neuroinformatics | 2024年 / 22卷
关键词
fMRI; Meta-analysis; Review; CBMA;
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学科分类号
摘要
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.
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页码:5 / 22
页数:17
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