Sentence examples for functional realignment from inspiring English sources

Bürge E, Kupper D, Finckh A, Ryerson S, Schnider A, Leemann B. Neutral functional realignment orthosis prevents hand pain in patients with subacute stroke: a randomized trial.

The demands on the legitimation of law change with this functional realignment: to be legitimate, modern law must secure the private autonomy of those subject to it.

Movement regressors from the initial functional realignment were entered into the analytic model as covariates of no interest.

A more age-appropriate and functional realignment of psychiatric categories linked to dysfunctional anger is suggested.

Post hoc analysis of subject motion during the scans, based on the functional scan realignment parameters, indicated that subjects with high obsessive compulsive symptoms scores did not exhibit significantly larger head movements compared with those with low obsessive compulsive symptoms scores.

Preprocessing included slice timing for correcting differences in the timing of acquisition between slices, realignment of functional time series for correcting head motion, coregistration of functional and anatomical data, segmentation for extracting grey matter, spatial normalization to the Montreal Neurological Institute MNII) space, and spatial smoothing (Gaussian kernel, 6 mm FWHM).

The sixtieth volume of the prior 3D-session was used as a reference for realignment of functional images to correct for head motion.

Data pre-processing for functional volumes included image realignment, three-dimensional motion correction, linear de-trending, temporal frequency filtering with high pass filter, and spatial smoothing with a 4-mm Gaussian kernel (full width at half-maximum).

Preprocessing steps applied for functional (EPI) scans included: realignment, slice-time correction, motion correction, normalization to 2 × 2 × 3 voxel resolution using Montreal Neurological Institute (MNI) template and spatial smoothing with a full-width at half-maximum = 6 mm kernel.

The regressors modeling offsets and rest periods were therefore considered as covariates of no interest together with movement parameters derived from realignment of the functional volumes.

Preprocessing of functional images included motion correction (realignment to the first volume), slice time correction (to the middle slice) and normalization to the standard EPI template of the Montreal Neurological Institute (MNI).