A novel method is to use tract-based spatial statistics (TBSS; Smith et al., 2006) to perform automated analysis of white matter integrity.
We use tract-based diffusion tensor imaging and magnetization transfer imaging to measure the microstructural properties of FS fiber tracts in 40 healthy young adults (from 18 to 25 years).
Connectivity between brain regions can be assayed using tract tracing or electrophysiology.
"There are people afraid to go out in the fall on their own land," Sergeant Ray noted, explaining that there are brazen interlopers who try to foil property confiscation laws by surreptitiously using tracts of other people's land.
WM integrity was analyzed using tract-based spatial statistics.
Using tract-based spatial statistics, we investigated left-to-right differences in white matter microstructure across the whole brain.
Diffusion tensor data (DTI) data were processed using TRActs Constrained by Underlying Anatomy (TRACULA) for automatic reconstruction of a set of major white-matter pathways from diffusion-weighted MRI.
Subsequently, we investigated group differences in every psychological score, correlations between fluency and delusions, and relationships between these scores and white matter integrity using tract-based spatial statistics (TBSS).
Individual subjects' FA measures were calculated from diffusion tracing imaging (DTI) data using tract-based spatial statistics—an approach specifically designed and validated for voxel-wise multi-subject FA analysis.
We used tract-based spatial statistics (TBSS as implemented in FSL) to perform both voxelwise and clusterwise statistical correlations between local diffusion indices and subjectwise measures for age, sex, and adjusted-ARQ score [29].
While we observed significant reduction in the mean FA in the right fornix based on ROI analysis, there is only a trend of significance for FA decrease, RD and AD increase along the right fornix bundle using tract-based analysis.
