Automated vs. conventional tractography in multiple sclerosis: variability and correlation with disability.

NeuroImage
Daniel S ReichSusumu Mori

Abstract

Diffusion-tensor-imaging fiber tractography enables interrogation of brain white matter tracts that subserve different functions. However, tract reconstruction can be labor and time intensive and can yield variable results that may reduce the power to link imaging abnormalities with disability. Automated segmentation of these tracts would help make tract-specific imaging clinically useful, but implementation of such segmentation is problematic in the presence of diseases that alter brain structure. In this work, we investigated an automated tract-probability-mapping scheme and applied it to multiple sclerosis, comparing the results to those derived from conventional tractography. We found that the automated method has consistently lower scan-rescan variability (typically 0.7-1.5% vs. up to 3% for conventional tractography) and avoids problems related to tractography failures within and around lesions. In the corpus callosum, optic radiation, and corticospinal tract, tract-specific MRI indices calculated by the two methods were moderately to strongly correlated, though systematic, tract-specific differences were present. In these tracts, the two methods also yielded similar correlation coefficients relating tract-specific MRI in...Continue Reading

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Citations

May 11, 2012·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Emily T WoodDaniel S Reich
Sep 12, 2013·Cognitive, Affective & Behavioral Neuroscience·H ShouC M Crainiceanu
Apr 5, 2016·Journal of the Royal Statistical Society. Series C, Applied Statistics·Gina-Maria PomannSujit Ghosh
Nov 19, 2011·Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging·Maria Marcella LaganàMarco Rovaris
Oct 12, 2013·Statistics in Medicine·Helle SørensenLaura M Sangalli
Oct 30, 2015·Computational Statistics & Data Analysis·Adam Ciarleglio, R Todd Ogden
Oct 26, 2013·NeuroImage·Saskia H AarninkWilliam F C Baaré
Jul 2, 2011·NeuroImage·Pierre-Louis BazinDzung L Pham
May 13, 2014·BioMed Research International·Paola TortorellaMarco Rovaris
Mar 12, 2013·Multiple Sclerosis International·Stephanie B SycDaniel S Reich
May 31, 2016·Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging·Niels BergslandMarco Rovaris
Mar 25, 2016·Clinical & Experimental Ophthalmology·Stuart L Graham, Alexander Klistorner
Mar 21, 2015·Multiple Sclerosis : Clinical and Laboratory Research·Niels BergslandMarco Rovaris
Feb 10, 2010·Multiple Sclerosis : Clinical and Laboratory Research·A OzturkD S Reich
Jun 14, 2017·Multiple Sclerosis Journal - Experimental, Translational and Clinical·Sylvia KlineovaStephen Krieger
Sep 15, 2011·Human Brain Mapping·Scott KolbeGary Egan
Aug 25, 2019·Human Brain Mapping·Tom A FuchsMichael G Dwyer
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Jan 2, 2021·Frontiers in Aging Neuroscience·Ying CuiShenghong Ju
Dec 27, 2019·NeuroImage·Ilona LippDerek K Jones

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