Computational protocol: Effects of Time Compressed Speech Training on Multiple Functional and Structural Neural Mechanisms Involving the Left Superior Temporal Gyrus

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Protocol publication

[…] Preprocessing of regional gray matter structural data was performed using SPM12 implemented in Matlab. We obtained images of changes in the gray matter following training based on the longitudinal VBM method that uses the pairwise longitudinal registration toolbox [] (smoothing: 8 mm FWHM) as was described previously []. For the VBM procedures, we used the same parameters as those used in our previous study [].Preprocessing of other imaging data was performed using SPM8 implemented in Matlab and the SPM8 extension software DPARSF (Data Processing Assistant for Resting-State fMRI). In the following procedures, coregistration and conormalization of pre- and postimages were avoided for the same reasons as described previously []. For rationales of this procedure, see Supplemental Methods. For RSFC analyses, in this study, we examined correlations associated with the area in the left STG, which is the main crux of the hypothesis, as described in the Introduction. The seed region of the left STG was a sphere with a 6 mm radius centered on the focus. The peak voxel of the left STG was x, y, z = −60, −14, −2; this voxel was shown to be active in response to difficult speech comprehension and showed the strongest effect in the meta-analysis []. […]

Pipeline specifications

Software tools SPM, DPABI
Application Functional magnetic resonance imaging