Computational protocol: Mapping the human brain during a specific Vojta's tactile input: the ipsilateral putamen's role

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Protocol publication

[…] The data were analyzed using a general linear model in SPM12 (Welcome Department of Imaging Neuroscience, London, UK, implemented in MATLAB R2010a (Mathworks, Inc, Sherborn, MA). Individual scans were; spatially realigned and unwarped to compensate for head-movement; corrected for differences in slice acquisition time (slice timing correction); spatially normalized; and spatially smoothed to reduce noise and to compensate for anatomical intersubject variability (Gaussian filter of 8 mm FWHM), using standard SPM methods. Population inference was made through a 2-stage procedure. First, a subject-specific analysis was carried out where the blood oxygenation level-dependent response for each voxel and experimental condition was modeled by a boxcar waveform convolved with a canonical hemodynamic response function plus temporal and dispersion derivatives. Rest condition served as baseline.Statistical parametric maps of the t statistic (SPM{t}) were generated for each participant, and the contrast images were stored. For each individual, we determined the effect of the condition of interest: stimulation > rest and rest > stimulation.In a 2nd level random-effects analysis, a 2 × 2 (lateral by group) ANOVA model was used. We constructed an F contrast to test for the main effect of group, which indicates the extent to which the STI-group differs from that applied in the non-STI-group (a P < .001 at the voxel level was applied in all cases). Then, 2 2-sample t test were used in order to compare the effects of STI-group versus non-STI-group in the left and right hemi-body. The surviving activated voxels were superimposed on high-resolution structural magnetic resonance (MR) scans of a standard brain (Montreal Neurological Institute [MNI]). Anatomical identification was performed with reference to the Talairach Daemon Software ( and also via XjView8 ( [...] SPSS 22.0 software (IBM SPSS Statistics for Windows; NY: IBM Corp) was used for the descriptive analysis data. An α error of 0.05 (95% confidence interval) and a desired power of 80% (β error of 0.2) were utilized. First, the Shapiro–Wilk test was applied to assess normality. Second, a comparative analysis between both groups was performed. For the qualitative variable, frequency and Fisher exact test were analyzed. For the parametric data, mean ± standard deviation and Student t test for independent samples were used. For the nonparametric data, the median ± interquartile range and Mann–Whitney U test were applied. […]

Pipeline specifications

Software tools SPM, SPSS
Applications Miscellaneous, Functional magnetic resonance imaging
Organisms Homo sapiens