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Evaluating the methodological quality of coordinate-based meta-analyses: the qual-CBMA checklist
Joaquim Radua1,2,3, Lydia Fortea1, Anton Albajes-Eizagirre1,2,3
1Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Frontiers in Neuroimaging
|May 29, 2026
Summary
A new checklist, Qual-CBMA, enhances the methodological rigor and transparency of coordinate-based meta-analyses (CBMAs) in neuroscience. It aids researchers in reporting study quality and limitations for better evidence synthesis.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Brain Disorders
Background:
- Coordinate-based meta-analyses (CBMAs) synthesize neuroimaging data.
- Existing guidelines like "Ten Simple Rules" promote CBMA rigor.
- Consistent application and clarity of guideline adherence in CBMAs can be challenging.
Purpose of the Study:
- To introduce the Qual-CBMA checklist for evaluating the methodological quality of CBMAs.
- To enhance transparency and rigor in reporting CBMA methodology.
- To support researchers in identifying and discussing methodological limitations.
Main Methods:
- Development of the Qual-CBMA checklist via a Delphi-style iterative process.
- Checklist criteria focus on methodological aspects (e.g., preregistration, search strategy).
- Authors are prompted to comment explicitly on checklist criteria and limitations.
Main Results:
- The Qual-CBMA checklist provides criteria for assessing CBMA methodological quality.
- It encourages explicit reporting and discussion of methodological strengths and limitations.
- The checklist aims to improve clarity and transparency in CBMA reporting.
Conclusions:
- Qual-CBMA promotes rigorous and transparent reporting in coordinate-based meta-analyses.
- The checklist serves as an aid for authors, not a punitive evaluation tool.
- Adoption of Qual-CBMA will advance understanding in cognitive neuroscience and clinical conditions.
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