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Ten simple rules for neuroimaging meta-analysis.

Veronika I Müller1, Edna C Cieslik1, Angela R Laird2

  • 1Institute of Systems Neuroscience and Institute of Clinical Neuroscience & Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience und Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany.

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Summary
This summary is machine-generated.

Neuroimaging meta-analyses are crucial for understanding brain function and disorders. This study offers best-practice guidelines to improve the transparency and replicability of neuroimaging research findings.

Keywords:
GuidelinesMeta-analysisNeuroimagingPETTen simple rulesfMRI

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Biostatistics

Background:

  • Neuroimaging studies generate vast amounts of data, exceeding 30,000 papers.
  • Distinguishing reliable findings from spurious results is challenging due to data volume.
  • Current literature lacks standardized guidelines for conducting neuroimaging meta-analyses.

Purpose of the Study:

  • To propose best-practice recommendations for conducting neuroimaging meta-analyses.
  • To enhance the transparency, traceability, and replicability of meta-analytical results.
  • To provide researchers with specific guidelines and a checklist for improved reporting.

Main Methods:

  • Review of existing meta-analytical methods (coordinate-based and image-based).
  • Development of best-practice recommendations based on expert experience.
  • Creation of a checklist for reporting meta-analytical results.

Main Results:

  • Proposed guidelines address the challenges of data integration and interpretation in neuroimaging.
  • The provided checklist aims to standardize reporting, enhancing study reproducibility.
  • Recommendations focus on improving the quality and reliability of meta-analyses in neuroscience.

Conclusions:

  • Adherence to proposed guidelines will improve the rigor of neuroimaging meta-analyses.
  • Enhanced transparency and replicability will facilitate a clearer understanding of brain function and disorders.
  • The guidelines and checklist serve as valuable tools for researchers in the field.