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Journal Articles Frontiers in Neuroinformatics Year : 2016

Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM

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Abstract

Data sharing is becoming a priority in functional Magnetic Resonance Imaging (fMRI) research, but the lack of a standard format for shared data is an obstacle (Poline et al., 2012; Poldrack and Gorgolewski, 2014). This is especially true for information about data provenance, including auxiliary information such as participant characteristics and task descriptions. The three most commonly used analysis software packages [AFNI1 (Cox, 1996), FSL2 (Jenkinson et al., 2012), and SPM3 (Penny et al., 2011)] broadly conduct the same analysis, but differ in how fundamental concepts are described, and have a myriad of differences in the pre-processing and modeling steps. The practical consequence is that sharing analyzed data is further complicated by the idiosyncrasies of the particular software used.
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inserm-01341946 , version 1 (05-07-2016)

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Attribution - CC BY 4.0

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Ruth Pauli, Alexander Bowring, Richard Reynolds, Gang Chen, Thomas E. Nichols, et al.. Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM. Frontiers in Neuroinformatics, 2016, 10, ⟨10.3389/fninf.2016.00024⟩. ⟨inserm-01341946⟩

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