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, Fillard P, Le Bihan D, Leboyer M, Houenou J, Mangin JF. 2012 . Automatic fiber bundle segmentation in massive tractography datasets using a multi -subject bundle atlas . Neuroimage . 61 ( 4 ): 1083 – 1099 ...
. Tractography result and fiber -count connectivity matrix with (right) and without (left) a free water model for a brain tumor patient with a large edema. Here, gray matter interface seeding was used together ...
validation of U- fiber tractography challenging. Submillimeter resolution diffusion MRI—facilitated by a cutting-edge MRI scanner with 300 mT/m maximum gradient amplitude—was used to map U- fiber connectivity ...
differences in diffusion indices of white matter fiber tracts between patients with SZ and HCs using UKF tractography . The analysis was focused on intra-hemispheric fiber tracts and the CC. We predicted ...
), a recently developed analytic framework that facilitates measurement and statistical analysis of micro- and macro-structural metrics within “fixels” (specific fiber - bundle populations within a voxel (Raffelt ...
-spinal tract. This recapitulates the results of previous analysis of these same data, using a bundle -of-interest approach [26]. As with the original study, it is unclear whether our strong predictive ...
lacking, which could impact surgical decision-making. Over the last 15 years, white matter fiber tracking, using diffusion tensor imaging (DTI) has been investigated in different aspects of the surgical ...
Statistics (TBSS). We then examined their Structural Connectivity Probability using Probabilistic Tractography in 264 gray matter regions of interest (ROIs). Traditional TBSS analysis could obtain FA values ...
a novel, comprehensive U- fiber atlas. Analysis of covariances yielded significant generalized fractional anisotropy (gFA) differences for 17 SWM bundles in frontal, parietal, and temporal cortices. Post hoc ...
for each analysis . Results were considered significant for p ...
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