Sentence examples for using the voxel-based morphometry from inspiring English sources

Volumes of CSF, grey matter and white matter were calculated from 3D-FLASH images using the voxel-based morphometry toolbox (C. Gaser, http://dbm.neuro.uni-jena.de/vbm/) for SPM8 (Wellcome Trust Centre for Neuroimaging, http://www.fil.ion.ucl.ac.uk/spm/software/spm8/).ac.uk/spm/software/spm8/

After manually reorienting and realigning the cross-hair on the AC-PC plane in all our nifti-converted DICOM T1 images, and imposing initial quality control for signal artifacts, morphological changes were calculated using the voxel-based morphometry (VBM) default unified segmentation approach [ 30] in SPM8 (http://www.fil.ion.ucl.ac.uk/spm/software/spm8/).ac.uk/spm/software/spm8/

T1 images were normalized and segmented into gray matter, white matter, and cerebrospinal fluid using the voxel-based morphometry toolbox (VBM8; http://dbm.neuro.uni-jena.de/vbm.html) and functional images were preprocessed and analyzed with statistical parametric mapping (SPM) (SPM8; http://www.fil.ion.ucl.ac.uk/spm/software/).ac.uk/spm/software/

For analysis, the design matrix was similar to that used in the voxel-based morphometry analysis, except that age only was added as a covariate.

Between-group variations in cortical thickness were assessed using a vertex-by-vertex general linear model performed with SurfStat (http://www.math.mcgill.ca/keith/surfstat/). Regional differences in grey matter between control and disease groups were assessed using the same covariates as the voxel-based morphometry analysis.

Brain images were entered into the voxel-based morphometry analysis using SPM5 software (http://www.fil.ion.ucl.ac.uk/spm) and the DARTEL toolbox, and grey and white matter brain segments were derived as previously described (Rohrer et al., 2010 d, e ).

The pattern of GM atrophy was studied using the VBM (voxel-based morphometry) technique (Ashburner, 2007).

In our initial statistical analysis on baseline data using the standard voxel-based morphometry (VBM) approach, we identified trends for diabetes duration (e.g., regions with significance P < 0.01), but no regions showed significance after false discovery rate (FDR) correction (24) using a significance threshold of q ≤ 0.05.

Following the segmentation and quality assurance defined below, a final dataset of 229 healthy controls and 194 AD subjects provided grey matter concentration estimates of the hippocampus, using a voxel-based morphometry approach.

The paper by B. E. Depue et al. used MRI to determine whether comorbid posttraumatic stress disorder (PTSD) and mild traumatic brain injury (mTBI) are characterized by altered brain structure in the same regions as has been observed when PTSD or TBI is present without the other condition using both voxel-based morphometry and surface-based morphometry.

Cortical morphology differences between the two groups were assessed using a voxel-based morphometry (VBM) method on Statistical Parametric Mapping version 8 (SPM8; Wellcome Trust Centre for Neuroimaging, London, UK) software running on MATLAB (Mathworks Inc., Sherborn, MA, USA).