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. Author manuscript; available in PMC: 2019 Jun 10.
Published in final edited form as: Nat Methods. 2018 Dec 10;16(1):111–116. doi: 10.1038/s41592-018-0235-4

Figure 3. FMRIPrep affords the researcher finer control over the smoothness of their analysis.

Figure 3.

A | Estimating the spatial smoothness of data before and after the initial smoothing step of the analysis workflow confirmed that results of preprocessing with feat are intrinsically smoother. B | Mapping the standard deviation of averaged BOLD time-series displayed greater variability around the brain outline (represented with a black contour) for data preprocessed with feat. This effect is generally associated with a lower performance of spatial normalization28. Reference contours correspond to the brain tissue segmentation of the MNI atlas.