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Voxel Based Morphometry (VBM) is one MRI technique that compares a proxy measurement for gray matter volume, based on gray matter density volumes and the modulation step (normalization to template) on a voxel-by-voxel basis between two groups of subjects.
Transformation parameters for normalization resulted from anatomical segmentation in SPM8 based on gray matter, white matter, and cerebral spinal fluid templates.
Consequently, our analysis was based on gray matter density (relative to white matter or other tissue types within each voxel) rather than gray matter volume.
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In particular, we focus on anatomical prior knowledge, based on reconstructed gray matter surfaces and assumptions about the location and spatial smoothness of the blood oxygenation level dependent (BOLD) effect.
Specifically, some studies concluded rightward degeneration based on pronounced gray matter (GM) loss or functional abnormality in the right hemisphere [ 31– 31].
For reduction of gray-level distortion artifacts, we use a method based on gray-scale morphological operations.
When applied on gray matter images of different subjects, this method defines fully automatically spatial components based on the covariation of gray matter volumes among subjects (i.e., structural covariance networks), without a priori selected regions of interest.
This study was designed to ascertain the effects on gray matter volume (GMV) of exposure to CSA in healthy young adult college students selected based on exposure history regardless of psychiatric outcome.
This used a Voronoï interpolation based on the gray-matter segment of the canonical MNI brain (from which the template cortical mesh was derived).
Although both gray and white matter volumes can be assessed using VBM, the majority of VBM studies concentrate on gray matter [18].
The following analyses were performed on gray matter segments that were multiplied by the non-linear components derived from the normalization matrix (modulated gray matter volumes).
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