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Bagrat Amirbekian

Researcher at University of California, San Francisco

Publications -  8
Citations -  1430

Bagrat Amirbekian is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Tractography & Diffusion MRI. The author has an hindex of 6, co-authored 8 publications receiving 1053 citations.

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Dipy, a library for the analysis of diffusion MRI data

TL;DR: Dipy aims to provide transparent implementations for all the different steps of dMRI analysis with a uniform programming interface, and has implemented classical signal reconstruction techniques, such as the diffusion tensor model and deterministic fiber tractography.
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Connecting white matter injury and thalamic atrophy in clinically isolated syndromes.

TL;DR: Thalamocortical lesion volume and the mean diffusivity in track regions connecting lesion and thalami were significantly correlated with thalamic volumes in patients, a finding not observed in regions outside the thalamocortsical white matter.
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Quantifying diffusion MRI tractography of the corticospinal tract in brain tumors with deterministic and probabilistic methods

TL;DR: The provided data show that probabilistic HARDI tractography is the most objective and reproducible analysis but given the small sample and number of stimulation points a generalization about the results should be given with caution.
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Identifying preoperative language tracts and predicting postoperative functional recovery using HARDI q-ball fiber tractography in patients with gliomas.

TL;DR: Results indicate that postoperative injury to dorsal language pathways may be prognostic for long-term clinical language deficits following surgery, and suggest the importance of dorsal stream tract preservation to reduce language deficits in patients undergoing glioma resection.
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Quantifying accuracy and precision of diffusion MR tractography of the corticospinal tract in brain tumors

TL;DR: The poor sensitivity of DTI to delineate lateral motor pathways reported herein suggests that DTI fiber tracking must be used with caution and only as adjunctive data to established methods for motor mapping.