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Related Experiment Video

Updated: Jun 10, 2025

A Dual Tracer PET-MRI Protocol for the Quantitative Measure of Regional Brain Energy Substrates Uptake in the Rat
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Reproducible brain PET data analysis: easier said than done.

Maryam Naseri1,2,3, Sreekrishna Ramakrishnapillai4, Owen T Carmichael2

  • 1Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA, United States.

Frontiers in Neuroinformatics
|October 15, 2024
PubMed
Summary

Brain positron emission tomography (PET) research faces significant reproducibility challenges compared to MRI. Enhancing scientific standards, data sharing, and standardized pipelines is crucial for advancing PET neuroimaging.

Keywords:
brain PETcommunity standardspositron emission tomographypre-registrationreproducibility crisisreproducible sciencescientific workflows

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Area of Science:

  • Neuroimaging
  • Radiochemistry
  • Biomedical Engineering

Background:

  • Recent focus on reproducibility in structural and functional MRI.
  • Brain positron emission tomography (PET) research lags behind MRI in addressing reproducibility issues.
  • Fragile ground of current PET research reproducibility.

Purpose of the Study:

  • Examine factors contributing to reproducible neuroimaging data analysis.
  • Identify disparities in reproducibility factors between brain MRI and PET.
  • Demonstrate the positive impact of enhanced reproducibility on brain PET research.

Main Methods:

  • Analysis of current reproducibility factors (standards, pre-registration, data/code sharing, containerized workflows, pipelines).
  • Comparative assessment of these factors in brain MRI versus brain PET.
  • Case study illustrating challenges in reproducing a PET processing pipeline.

Main Results:

  • Brain PET research exhibits significant gaps in reproducibility compared to MRI.
  • Key areas for PET reproducibility enhancement identified: stricter journal policies, data repositories, containerized tools, standardized pipelines.
  • Challenges exist in reproducing community-standard PET processing pipelines.

Conclusions:

  • Enhancing reproducibility in brain PET is vital for its future impact.
  • Recommendations include stricter reporting, data repositories, containerized tools, and standardized pipelines.
  • Broader solutions like pre-registration, data sharing, and code availability are also discussed.