ArticleFrontiers in neuroinformatics2019
Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging.
Article in Frontiers in neuroinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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.
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.
Who cites it
39 citing papers in PubMed.
- ABCD-ReproNim: An educational program for responsible and reproducible analyses of ABCD data.Developmental cognitive neuroscience · 2026Article
- IntegriLAB: a blockchain-enabled electronic lab notebook for reproducible neuroimaging research.Frontiers in neuroinformatics · 2026Article
- QuNex Recipes: Executable, Human-Readable Workflows for Reproducible Neuroimaging Research.bioRxiv : the preprint server for biology · 2025Article
- Standardizing Survey Data Collection to Enhance Reproducibility: Development and Comparative Evaluation of the ReproSchema Ecosystem.Journal of medical Internet research · 2025Article
- Open-source platforms to investigate analytical flexibility in neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Quantifying brain development in the HEALthy Brain and Child Development (HBCD) Study: The magnetic resonance imaging and spectroscopy protocol.Developmental cognitive neuroscience · 2024Article
- Current best practices and future opportunities for reproducible findings using large-scale neuroimaging in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- The Aphasia Recovery Cohort, an open-source chronic stroke repository.Scientific data · 2024Article
- Article
- Open Science 2.0: Towards a truly collaborative research ecosystem.PLoS biology · 2023Article
- A large public dataset of annotated clinical MRIs and metadata of patients with acute stroke.Scientific data · 2023Article
- Multisite test-retest reliability and compatibility of brain metrics derived from FreeSurfer versions 7.1, 6.0, and 5.3.Human brain mapping · 2023Article
- Data Archive for the BRAIN Initiative (DABI).Scientific data · 2023Article
- NeuroBridge ontology: computable provenance metadata to give the long tail of neuroimaging data a FAIR chance for secondary use.Frontiers in neuroinformatics · 2023Article
- NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data.Frontiers in neuroinformatics · 2023Article
- The past, present and future of neuroscience data sharing: a perspective on the state of practices and infrastructure for FAIR.Frontiers in neuroinformatics · 2023Review
- Review
- Caltech Conte Center, a multimodal data resource for exploring social cognition and decision-making.Scientific data · 2022Article
- FAIRly big: A framework for computationally reproducible processing of large-scale data.Scientific data · 2022Article
- Reproducing FSL's fMRI data analysisFrontiers in neuroimaging · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
There has been a recent major upsurge in the concerns about reproducibility in many areas of science. Within the neuroimaging domain, one approach is to promote reproducibility is to target the re-executability of the publication. The information supporting such re-executability can enable the detailed examination of how an initial finding generalizes across changes in the processing approach, and sampled population, in a controlled scientific fashion. ReproNim: A Center for Reproducible Neuroimaging Computation is a recently funded initiative that seeks to facilitate the "last mile" implementations of core re-executability tools in order to reduce the accessibility barrier and increase adoption of standards and best practices at the neuroimaging research laboratory level. In this report, we summarize the overall approach and tools we have developed in this domain.
Indexed as
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What OpenQuestion holds
Registered trials
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.