ArticleGigaScience2015
Improving functional magnetic resonance imaging reproducibility.
Article in GigaScience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled 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.
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
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Highlight results, don't hide them: Enhance interpretation, reduce biases and improve reproducibility.NeuroImage · 2023Pooled it
- A methodological assessment of studies that use voxel-based morphometry to study neural changes in tinnitus patients.Hearing research · 2017Pooled it
- ABCD-ReproNim: An educational program for responsible and reproducible analyses of ABCD data.Developmental cognitive neuroscience · 2026Article
- Exploring functional connectivity in clinical and data-driven groups of preterm and term adults.Brain communications · 2025Article
- Review
- Differential effects of deep brain stimulation and levodopa on brain activity in Parkinson's disease.Brain communications · 2020Article
- The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services.Scientific data · 2019Article
- How to Enhance the Power to Detect Brain-Behavior Correlations With Limited Resources.Frontiers in human neuroscience · 2018Article
- Article
- When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment.Frontiers in human neuroscience · 2017Review
- What Has Replication Ever Done for Us? Insights from Neuroimaging of Speech Perception.Frontiers in human neuroscience · 2017Article
- The Influence of Study-Level Inference Models and Study Set Size on Coordinate-Based fMRI Meta-Analyses.Frontiers in neuroscience · 2017Article
- Brain structure-function associations identified in large-scale neuroimaging data.Brain structure & function · 2016Article
- A Practical Guide for Improving Transparency and Reproducibility in Neuroimaging Research.PLoS biology · 2016Article
- Building a Science of Individual Differences from fMRI.Trends in cognitive sciences · 2016Review
- Open research practices: unintended consequences and suggestions for averting them. (Commentary on the Peer Reviewers' Openness Initiative).Royal Society open science · 2016Article
- Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community.Neuropsychology review · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe ability to replicate an entire experiment is crucial to the scientific method. With the development of more and more complex paradigms, and the variety of analysis techniques available, fMRI studies are becoming harder to reproduce.
resultsIn this article, we aim to provide practical advice to fMRI researchers not versed in computing, in order to make studies more reproducible. All of these steps require researchers to move towards a more open science, in which all aspects of the experimental method are documented and shared.
conclusionOnly by sharing experiments, data, metadata, derived data and analysis workflows will neuroimaging establish itself as a true data science.
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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.