Improving functional magnetic resonance imaging reproducibility

被引:28
作者
Pernet, Cyril [1 ]
Poline, Jean-Baptiste [2 ]
机构
[1] Univ Edinburgh, Ctr Clin Brain Sci, Neuroimaging Sci, Edinburgh EH16 4SB, Midlothian, Scotland
[2] Univ Calif Berkeley, Helen Wills Neurosci Inst, Henry H Wheeler Jr Brain Imaging Ctr, Berkeley, CA 94720 USA
来源
GIGASCIENCE | 2015年 / 4卷
关键词
Functional MRI; Reproducibility; Scripts; Workflows; Code; Open science; RELIABILITY; FLEXIBILITY;
D O I
10.1186/s13742-015-0055-8
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:8
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