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Version 2. F1000Res. 2017 Feb 10 [revised 2017 Jun 15];6:124. doi: 10.12688/f1000research.10783.2. eCollection 2017.

A very simple, re-executable neuroimaging publication.

Author information

1
McGovern Institute for Brain Research, Massachusetts Institute of Technology: MIT, Cambridge, MA, USA.
2
Department of Otology and Laryngology, Harvard Medical School, Boston, MA, USA.
3
Henry Wheeler Jr. Brain Imaging Center, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA.
4
Department of Psychiatry and Human Behavior, Department of Computer Science, Department of Neurology, University of California, Irvine, Irvine, CA, USA.
5
Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.
6
Data Science and Sharing Team, National Institute of Mental Health, Intramural Research Programs, Bethesda, MD, USA.
7
Department of Psychiatry and Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
8
Eunice K. Shriver Center and Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, USA.

Abstract

Reproducible research is a key element of the scientific process. Re-executability of neuroimaging workflows that lead to the conclusions arrived at in the literature has not yet been sufficiently addressed and adopted by the neuroimaging community. In this paper, we document a set of procedures, which include supplemental additions to a manuscript, that unambiguously define the data, workflow, execution environment and results of a neuroimaging analysis, in order to generate a verifiable re-executable publication. Re-executability provides a starting point for examination of the generalizability and reproducibility of a given finding.

KEYWORDS:

Neuroimaging analysis; re-executable publication; reproducibility

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