Improving functional magnetic resonance imaging reproducibility

Cyril Pernet; Jean-Baptiste Poline

doi:10.1186/s13742-015-0055-8

Improving functional magnetic resonance imaging reproducibility

Cyril Pernet, Jean-Baptiste Poline

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Article number	15
Journal	GigaScience
Volume	4
DOIs	https://doi.org/10.1186/s13742-015-0055-8
Publication status	Published - 31 Mar 2015

Access to Document

10.1186/s13742-015-0055-8

Pernet_Poline_GigaScience2015Final published version, 441 KB

1 Participation in conference
1 Participation in workshop, seminar, course

Organization of Human Brain Mapping Annual Conference
Cyril Pernet (Chair and Invited Speaker)
27 Jun 2016 → 30 Jun 2016
Activity: Participating in or organising an event types › Participation in conference
Reproducibility in imaging
Cyril Pernet (Keynote/plenary speaker)
27 May 2016
Activity: Participating in or organising an event types › Participation in workshop, seminar, course

Cite this

@article{253964cd466c4b23a04a0d0871f47f87,

title = "Improving functional magnetic resonance imaging reproducibility",

abstract = "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.",

author = "Cyril Pernet and Jean-Baptiste Poline",

year = "2015",

month = mar,

day = "31",

doi = "10.1186/s13742-015-0055-8",

language = "English",

volume = "4",

journal = "GigaScience",

issn = "2047-217X",

publisher = "BioMed Central",

}

TY - JOUR

T1 - Improving functional magnetic resonance imaging reproducibility

AU - Pernet, Cyril

AU - Poline, Jean-Baptiste

PY - 2015/3/31

Y1 - 2015/3/31

N2 - 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.

AB - 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.

U2 - 10.1186/s13742-015-0055-8

DO - 10.1186/s13742-015-0055-8

M3 - Article

C2 - 25830019

VL - 4

JO - GigaScience

JF - GigaScience

SN - 2047-217X

M1 - 15

ER -

Improving functional magnetic resonance imaging reproducibility

Abstract

Access to Document

Fingerprint

Activities

Organization of Human Brain Mapping Annual Conference

Reproducibility in imaging

Cite this