Voxel-based morphometry (VBM) is a whole-brain unbiased technique for the analysis of regional GM volume and tissue changes [35 (link)]. Preprocessing involved gray-matter segmentation, template creation via DARTEL, spatial normalization to standardized Montreal Neurological Institute (MNI) space, and smoothing with a Gaussian kernel of 8 mm full width at half maximum (FWHM). Whole-brain analysis was performed first and was followed by region of interest (ROI)-analysis of the medial temporal lobe regions, including the hippocampus and the parahippocampus on both sides.
Structural Brain MRI Analysis via VBM
Voxel-based morphometry (VBM) is a whole-brain unbiased technique for the analysis of regional GM volume and tissue changes [35 (link)]. Preprocessing involved gray-matter segmentation, template creation via DARTEL, spatial normalization to standardized Montreal Neurological Institute (MNI) space, and smoothing with a Gaussian kernel of 8 mm full width at half maximum (FWHM). Whole-brain analysis was performed first and was followed by region of interest (ROI)-analysis of the medial temporal lobe regions, including the hippocampus and the parahippocampus on both sides.
Corresponding Organization : University of Applied Sciences Potsdam
Other organizations : Ludwig-Maximilians-Universität München, German Center for Lung Research, Munich Cluster for Systems Neurology
Variable analysis
- None explicitly mentioned
- Regional gray matter (GM) volume and tissue changes
- Acquisition parameters (3 Tesla Siemens MAGNETOM Verio scanner, 32-channel head coil, 3D MPRAGE sequence with specific parameters)
- Image preprocessing steps (gray-matter segmentation, DARTEL template creation, spatial normalization to MNI space, smoothing with 8 mm FWHM Gaussian kernel)
- Whole-brain analysis was performed first, followed by region of interest (ROI) analysis of the medial temporal lobe regions, including the hippocampus and the parahippocampus on both sides.
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