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. Author manuscript; available in PMC: 2023 Jun 1.
Published in final edited form as: Neuroimage. 2023 Feb 17;270:119949. doi: 10.1016/j.neuroimage.2023.119949

Table 2.

Estimated Smoothness in millimeters (FWHM). The first set of columns shows the estimated smoothness before any additional processing, within a brain mask made from the first run. The next set shows the estimated smoothness after motion correction and slice timing, with the bottom two rows reporting the effects of explicit, intentional smoothing. The final set of columns shows the estimated smoothness of the residuals from the conventional GLM. Across all processing timepoints the NORDIC data is minimally smoother than the Standard data. Values are mean across runs, plus/minus standard deviation.

Before Processing (‘Pre’)
Post Processing
Residuals
DS1 DS3 DS6 DS1 DS3 DS6 DS1 DS3 DS6
Standard 0.89±0.002 0.9 ± 0.003 1.24±0.002 0.89±0.006 0.91±0.012 1.25±0.006 0.85±0.004 0.87±0.004 1.22±0.002
NORDIC 0.92±0.009 0.92±−0.01 1.35±0.006 0.91±0.009 0.94±0.024 1.31±0.012 0.86±0.009 0.89±0.01 1.3 ± 0.014
dwidenoise 1.02±0.003 0.99±0.009 1.78±0.039 0.98±0.004 0.98±0.008 1.49±0.048 0.92±0.005 0.94±0.009 1.36±0.015
+1 Voxel FWHM 1.33±0.005 1.34±0.012 1.85±0.006 1.33±0.005 1.3 ± 0.015 1.83±0.004
+1.5 Voxel FWHM 2.1 ± 0.007 2.05±0.014 2.9 ± 0.01 2.1 ± 0.007 2.01±−0.012 2.9 ± 0.006