Evidence map›Paper›PMID 39112455›Full record

ArticleNature communications2024

A standardized image processing and data quality platform for rodent fMRI.

Gabriel Desrosiers-Grégoire, Gabriel A Devenyi, Joanes Grandjean, M Mallar Chakravarty

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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

26 citing papers in PubMed.

  1. Article
  2. Correspondence of large-scale functional brain network decline across aging mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Nurr1 Orchestrates Claustrum Development and Functionality.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
  6. Biphasic acclimation for simultaneous wide-field fluorescent CaImaging neuroscience (Cambridge, Mass.) · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Charting the path in rodent functional neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

4 authors.

Gabriel Desrosiers-GrégoireComputational Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, QC, Canada. gabriel.desrosiers-gregoire@mail.mcgill.ca.ORCID 0000-0003-2197-1183
Gabriel A DevenyiComputational Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, QC, Canada.ORCID 0000-0002-7766-1187
Joanes GrandjeanDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
M Mallar ChakravartyComputational Brain Anatomy Laboratory, Cerebral Imaging Center, Douglas Mental Health University Institute, Montreal, QC, Canada. mallar.chakravarty@mcgill.ca.ORCID 0000-0002-0759-5508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional magnetic resonance imaging in rodents holds great potential for advancing our understanding of brain networks. Unlike the human community, there remains no standardized resource in rodents for image processing, analysis and quality control, posing significant reproducibility limitations. Our software platform, Rodent Automated Bold Improvement of EPI Sequences, is a pipeline designed to address these limitations for preprocessing, quality control, and confound correction, along with best practices for reproducibility and transparency. We demonstrate the robustness of the preprocessing workflow by validating performance across multiple acquisition sites and both mouse and rat data. Building upon a thorough investigation into data quality metrics across acquisition sites, we introduce guidelines for the quality control of network analysis and offer recommendations for addressing issues. Taken together, this software platform will allow the emerging community to adopt reproducible practices and foster progress in translational neuroscience.

Indexed as

BrainImage Processing, Computer-AssistedMagnetic Resonance ImagingSoftwareAnimalsBrain MappingData AccuracyMaleMiceQuality ControlRatsReproducibility of Results

Identifiers

PMID39112455
PMCPMC11306392

What OpenQuestion holds

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LicenceCC BY
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.