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Improving the eligibility of task-based fMRI studies for meta-analysis : a review and reporting recommendations

Freya Acar (UGent) , Camille Maumet, Talia Heuten, Maya Vervoort, Han Bossier, Ruth Seurinck (UGent) and Beatrijs Moerkerke (UGent)
(2024) NEUROINFORMATICS. 22(1). p.5-22
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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.
Keywords
fMRI, Meta-analysis, Review, CBMA, STATISTICAL-ANALYSIS, POWER, BRAINMAP, VISUALIZATION, SOFTWARE, DESIGN

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MLA
Acar, Freya, et al. “Improving the Eligibility of Task-Based FMRI Studies for Meta-Analysis : A Review and Reporting Recommendations.” NEUROINFORMATICS, vol. 22, no. 1, 2024, pp. 5–22, doi:10.1007/s12021-023-09643-5.
APA
Acar, F., Maumet, C., Heuten, T., Vervoort, M., Bossier, H., Seurinck, R., & Moerkerke, B. (2024). Improving the eligibility of task-based fMRI studies for meta-analysis : a review and reporting recommendations. NEUROINFORMATICS, 22(1), 5–22. https://doi.org/10.1007/s12021-023-09643-5
Chicago author-date
Acar, Freya, Camille Maumet, Talia Heuten, Maya Vervoort, Han Bossier, Ruth Seurinck, and Beatrijs Moerkerke. 2024. “Improving the Eligibility of Task-Based FMRI Studies for Meta-Analysis : A Review and Reporting Recommendations.” NEUROINFORMATICS 22 (1): 5–22. https://doi.org/10.1007/s12021-023-09643-5.
Chicago author-date (all authors)
Acar, Freya, Camille Maumet, Talia Heuten, Maya Vervoort, Han Bossier, Ruth Seurinck, and Beatrijs Moerkerke. 2024. “Improving the Eligibility of Task-Based FMRI Studies for Meta-Analysis : A Review and Reporting Recommendations.” NEUROINFORMATICS 22 (1): 5–22. doi:10.1007/s12021-023-09643-5.
Vancouver
1.
Acar F, Maumet C, Heuten T, Vervoort M, Bossier H, Seurinck R, et al. Improving the eligibility of task-based fMRI studies for meta-analysis : a review and reporting recommendations. NEUROINFORMATICS. 2024;22(1):5–22.
IEEE
[1]
F. Acar et al., “Improving the eligibility of task-based fMRI studies for meta-analysis : a review and reporting recommendations,” NEUROINFORMATICS, vol. 22, no. 1, pp. 5–22, 2024.
@article{01HQ8VEFJKWX7BZ74M2TW61XY0,
  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.}},
  author       = {{Acar, Freya and  Maumet, Camille and Heuten, Talia and Vervoort, Maya and Bossier, Han and Seurinck, Ruth and Moerkerke, Beatrijs}},
  issn         = {{1539-2791}},
  journal      = {{NEUROINFORMATICS}},
  keywords     = {{fMRI,Meta-analysis,Review,CBMA,STATISTICAL-ANALYSIS,POWER,BRAINMAP,VISUALIZATION,SOFTWARE,DESIGN}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{5--22}},
  title        = {{Improving the eligibility of task-based fMRI studies for meta-analysis : a review and reporting recommendations}},
  url          = {{http://doi.org/10.1007/s12021-023-09643-5}},
  volume       = {{22}},
  year         = {{2024}},
}
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