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Improving functional magnetic resonance imaging reproducibility

BACKGROUND: The 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. RESULTS: In this article, we aim to provide practic...

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Detalles Bibliográficos
Autores principales: Pernet, Cyril, Poline, Jean-Baptiste
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379514/
https://www.ncbi.nlm.nih.gov/pubmed/25830019
http://dx.doi.org/10.1186/s13742-015-0055-8
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author Pernet, Cyril
Poline, Jean-Baptiste
author_facet Pernet, Cyril
Poline, Jean-Baptiste
author_sort Pernet, Cyril
collection PubMed
description BACKGROUND: The 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. RESULTS: In 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. CONCLUSION: Only by sharing experiments, data, metadata, derived data and analysis workflows will neuroimaging establish itself as a true data science.
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spelling pubmed-43795142015-04-01 Improving functional magnetic resonance imaging reproducibility Pernet, Cyril Poline, Jean-Baptiste Gigascience Commentary BACKGROUND: The 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. RESULTS: In 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. CONCLUSION: Only by sharing experiments, data, metadata, derived data and analysis workflows will neuroimaging establish itself as a true data science. BioMed Central 2015-03-31 /pmc/articles/PMC4379514/ /pubmed/25830019 http://dx.doi.org/10.1186/s13742-015-0055-8 Text en © Pernet and Poline; licensee BioMed Central. 2015 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Commentary
Pernet, Cyril
Poline, Jean-Baptiste
Improving functional magnetic resonance imaging reproducibility
title Improving functional magnetic resonance imaging reproducibility
title_full Improving functional magnetic resonance imaging reproducibility
title_fullStr Improving functional magnetic resonance imaging reproducibility
title_full_unstemmed Improving functional magnetic resonance imaging reproducibility
title_short Improving functional magnetic resonance imaging reproducibility
title_sort improving functional magnetic resonance imaging reproducibility
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379514/
https://www.ncbi.nlm.nih.gov/pubmed/25830019
http://dx.doi.org/10.1186/s13742-015-0055-8
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