Statistical Parametric Mapping (SPM)12 (London, UK) software package in Matlab v.2013b (MathWorks, Natick, MA, USA) was used to process T1 and task-based fMRI data. Task-based fMRI volumes of LtoR and RtoL motor and language task fMRI runs were realigned to the mean volume of each run. T1 volumes were coregistered with realigned task-based fMRI volumes, and all volumes were normalized to MNI space using the standard segmentation method for group-level analysis. Task-based fMRI volumes were smoothed using an isotropic Gaussian kernel with 4 mm full width at half-maximum (FWHM). A larger FWHM improves SNR but reduces spatial resolution. The voxel size of our data was 2 mm × 2 mm × 2 mm; setting the FWHM to 2 to 3 times the voxel size is considered acceptable (24,25). As high spatial resolution was critical for our analyses, we changed the FWHM of the isotropic Gaussian kernel to 4 mm in SPM12. A flow diagram of tasked-based fMRI data preprocessing is shown in Figure 1.

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