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dc.date.accessioned2016-01-27T23:40:49Z
dc.date.available2016-01-27T23:40:49Z
dc.date.issued2016-01-27
dc.identifier.citationYeatman JD, Dougherty RF, Myall NJ, Wandell BA, Feldman HM (2012) Tract Profiles of White Matter Properties: Automating Fiber-Tract Quantification. PLoS ONE 7(11): e49790. doi:10.1371/journal.pone.0049790en_US
dc.identifier.urihttp://hdl.handle.net/1773/34926
dc.description.abstractThese templates are used to segment human white matter into the major tracks, as described in Yeatman et al. 2012 (Yeatman JD, Dougherty RF, Myall NJ, Wandell BA, Feldman HM (2012) Tract Profiles of White Matter Properties: Automating Fiber-Tract Quantification. PLoS ONE 7(11): e49790. doi:10.1371/journal.pone.0049790). Briefly, The regions of interest (ROIs) in these templates are defined in locations that isolate the central portion of the track where the fibers are coherently bundled together and before they begin diverging towards cortex. Each waypoint ROI was drawn on a group-average DTI data set in MNI space based on the anatomical prescriptions defined in Wakana et al (Wakana S, Caprihan A, Panzenboeck MM, Fallon JH, Perry M, et al. (2007) Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage 36: 630–644. doi: 10.1016/j.neuroimage.2007.02.049).en_US
dc.description.sponsorshipWork on these templates and the the AFQ software was supported by grant RO1-HD46500 from the National Institutes of Health to Heidi M. Feldman, RO1-EY15000 to Brian A. Wandell, National Science Foundation Graduate Research Fellowship to Jason D. Yeatman, Stanford Medical Scholars Research Program Fellowship to Nathaniel J. Myall, and in part by the Clinical and Translational Science Award 1UL1 RR025744 for the Stanford Center for Clinical and Translational Education and Research (Spectrum) from the National Center for Research Resources, National Institutes of Health. Additional support for this work was provided to the University of Washington eScience Institute by the Alfred P. Sloan Foundation and the Gordon & Betty Moore Foundation.en_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectHuman; Magnetic Resonance Imaging; Diffusion MRI; Tractographyen_US
dc.titleTemplates for Automated Fiber Quantification of human corpus callosum from Diffusion MRI dataen_US
dc.typeDataseten_US


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Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States