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Statistical difference maps were smoothed using a 15-mm full width at half maximum Gaussian kernel with hemispheres analysed separately.
Gray-matter probability maps were smoothed using a 4 mm Full Width Half Max (FWHM) Gaussian smoothing kernel to facilitate across subject statistical comparisons.
These 2D scalp maps at every time point were stacked to produce a 3D map where the third dimension was time [53] These maps were smoothed using a Gaussian kernel (FWHM 8×8 a.u. and 160 ms; [45]) prior to analysis at the second level.
Maps were smoothed with Gaussian kernel full-width half maximum (FWHM) of 15 mm.
The normalized maps were smoothed with 4 mm full-width at half-maximum Gaussian kernel.
The modulated grey and white matter maps were smoothed with a 4 mm full-width at half-maximum Gaussian kernel.
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In the case of precipitation, the final probability maps are smoothed spatially with a 9×9 point Gaussian smoother.
Heat maps are smoothed 2D histograms of mean mosquito occupancy during seconds 90 180 of stimulus periods, sampled at 1 Hz and binned into 12 × 16 image sectors.
Cortical maps are smoothed with a 10-mm full-width at half-maximum Gaussian kernel and aligned to a common surface template using a high-resolution surface-based averaging technique, and 32 cortical parcellations are automatically generyated (59).
The resulting attenuation maps are smoothed using a Gaussian filter with a kernel standard deviation of 2 voxels (1.172 × 1.172 × 2.5 mm) to approximate the PET's point spread function (PSF), and resampled to the PET's discretisation grid.
For qualitative purposes T-maps were smoothed with an isotropic Gaussian kernel with 0.5 mm full width at half maximum (FWHM) subsequent to analysis.
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