Evidence map›Paper›PMID 37924428›Full record

SynthesisNeuroinformatics2024

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

Freya Acar, Camille Maumet, Talia Heuten, Maya Vervoort, Han Bossier, Ruth Seurinck, Beatrijs Moerkerke

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Neuroinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Freya AcarDepartment of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium. freya.acar@gmail.com.
Camille MaumetInria, Univ Rennes, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, F-35000, France.
Talia HeutenDepartment of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium.
Maya VervoortDepartment of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium.
Han BossierDepartment of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium.
Ruth SeurinckDepartment of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium.
Beatrijs MoerkerkeDepartment of Data-Analysis, Faculty of Psychology and Educational Science, Ghent University, Ghent, Belgium.

Funding

Fonds Wetenschappelijk Onderzoek G.0149.14
6 · The paper itself

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.

Indexed as

Magnetic Resonance ImagingCBMAfMRIMeta-analysisReview

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.