Qual-CBMA: A Checklist for Neuroimaging Meta-Analysis Methodological Quality

A 675.6 KB DOCX file published on figshare by Joaquim Radua on May 13, 2026. It contains the Qual-CBMA checklist, a tool developed through a Delphi-style process to evaluate the methodological quality of coordinate-based meta-analyses (CBMAs) in neuroimaging. The checklist aims to improve rigor and transparency in synthesizing evidence for psychological functions and brain disorder studies.

Use Cases

• Evaluating the methodological rigor of a neuroimaging meta-analysis based on criteria like preregistration and systematic search.
• Guiding the reporting of a meta-analysis manuscript by prompting explicit comments on checklist criteria.
• Supporting peer review of meta-analyses by providing a structured framework for assessing methodological transparency.
• Training new researchers in best practices for conducting high-quality, transparent neuroimaging meta-analyses.

Strengths

• File size is 675.6 KB, indicating a detailed document.
• Developed via a Delphi-style iterative process by developers of widely used CBMA methods.
• Explicitly designed to promote transparency by prompting authors to comment on criteria.
• Published under a permissive CC-BY-4.0 license, allowing for broad reuse and adaptation.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for automated processing.

Provenance

Source

Joaquim Radua via figshare

Collection Method

Developed through a Delphi-style iterative process by creators of common CBMA methods.

Freshness

Last updated 2026-05-13 04:43:57; freshness should be verified.