Review

. 2017 Feb 23;20(3):299-303.

doi: 10.1038/nn.4500.

Best practices in data analysis and sharing in neuroimaging using MRI

Thomas E Nichols¹, Samir Das^{2

3}, Simon B Eickhoff^{4

5}, Alan C Evans^{2

3}, Tristan Glatard^{2

6}, Michael Hanke^{7

8}, Nikolaus Kriegeskorte⁹, Michael P Milham^{10

11}, Russell A Poldrack¹², Jean-Baptiste Poline¹³, Erika Proal¹⁴, Bertrand Thirion¹⁵, David C Van Essen¹⁶, Tonya White¹⁷, B T Thomas Yeo¹⁸

Affiliations

¹ University of Warwick, Coventry, UK.
² McGill University, Montreal, Canada.
³ Montreal Neurological Institute, Montreal, Canada.
⁴ Institute of Neuroscience and Medicine (INM-1), Jülich Research Center, Jülich, Germany.
⁵ Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
⁶ Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada.
⁷ Otto-von-Guericke-University, Magdeburg, Germany.
⁸ Center for Behavioral Brain Sciences, Magdeburg, Germany.
⁹ MRC Cognition and Brain Sciences Unit, Cambridge, UK.
¹⁰ Child Mind Institute, New York, New York, USA.
¹¹ Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York, USA.
¹² Stanford University, Stanford, California, USA.
¹³ University of California, Berkeley, California, USA.
¹⁴ NEUROingenia Clinical and Research Center, Mexico City, Mexico.
¹⁵ Inria, Paris-Saclay University, Paris, France.
¹⁶ Washington University in St. Louis, St. Louis, Missouri, USA.
¹⁷ Erasmus University Medical Center, Rotterdam, The Netherlands.
¹⁸ National University of Singapore, Singapore.

PMID: 28230846
PMCID: PMC5685169
DOI: 10.1038/nn.4500

Review

Best practices in data analysis and sharing in neuroimaging using MRI

Thomas E Nichols et al. Nat Neurosci. 2017.

. 2017 Feb 23;20(3):299-303.

doi: 10.1038/nn.4500.

Authors

Affiliations

¹ University of Warwick, Coventry, UK.
² McGill University, Montreal, Canada.
³ Montreal Neurological Institute, Montreal, Canada.
⁴ Institute of Neuroscience and Medicine (INM-1), Jülich Research Center, Jülich, Germany.
⁵ Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.
⁶ Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada.
⁷ Otto-von-Guericke-University, Magdeburg, Germany.
⁸ Center for Behavioral Brain Sciences, Magdeburg, Germany.
⁹ MRC Cognition and Brain Sciences Unit, Cambridge, UK.
¹⁰ Child Mind Institute, New York, New York, USA.
¹¹ Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York, USA.
¹² Stanford University, Stanford, California, USA.
¹³ University of California, Berkeley, California, USA.
¹⁴ NEUROingenia Clinical and Research Center, Mexico City, Mexico.
¹⁵ Inria, Paris-Saclay University, Paris, France.
¹⁶ Washington University in St. Louis, St. Louis, Missouri, USA.
¹⁷ Erasmus University Medical Center, Rotterdam, The Netherlands.
¹⁸ National University of Singapore, Singapore.

PMID: 28230846
PMCID: PMC5685169
DOI: 10.1038/nn.4500

Abstract

Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, reliability and collaboration. We describe insights from developing a set of recommendations on behalf of the Organization for Human Brain Mapping and identify barriers that impede these practices, including how the discipline must change to fully exploit the potential of the world's neuroimaging data.

PubMed Disclaimer

Conflict of interest statement

COMPETING FINANCIAL INTERESTS

The authors declare no competing financial interests.

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Best practices in data analysis and sharing in neuroimaging using MRI

Affiliations

Best practices in data analysis and sharing in neuroimaging using MRI

Authors

Affiliations

Abstract

Conflict of interest statement

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