{"id":2607,"date":"2020-11-29T22:46:07","date_gmt":"2020-11-30T03:46:07","guid":{"rendered":"https:\/\/my.vanderbilt.edu\/masi\/?p=2607"},"modified":"2021-04-14T18:11:44","modified_gmt":"2021-04-14T23:11:44","slug":"pandora-4-d-white-matter-bundle-population-based-atlases-derived-from-diffusion-mri-fiber-tractography","status":"publish","type":"post","link":"https:\/\/my.vanderbilt.edu\/masi\/2020\/11\/pandora-4-d-white-matter-bundle-population-based-atlases-derived-from-diffusion-mri-fiber-tractography\/","title":{"rendered":"Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography"},"content":{"rendered":"

Colin B. Hansen<\/a>,\u00a0Qi Yang<\/a>,\u00a0\u00a0Ilwoo Lyu<\/a>,\u00a0Francois Rheault<\/a>,\u00a0Cailey Kerley<\/a>,\u00a0Bramsh Qamar Chandio<\/a>,\u00a0Shreyas Fadnavis<\/a>,\u00a0Owen Williams<\/a>,\u00a0Andrea T. Shafer<\/a>,\u00a0Susan M. Resnick<\/a>,\u00a0David H. Zald<\/a>,\u00a0Laurie E. Cutting<\/a>,\u00a0Warren D. Taylor<\/a>,\u00a0Brian Boyd<\/a>,\u00a0Eleftherios Garyfallidis<\/a>,\u00a0Adam W. Anderson<\/a>,\u00a0Maxime Descoteaux<\/a>,\u00a0Bennett A. Landman,\u00a0<\/a>Kurt G. Schilling.\u00a0Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography.\u00a0Neuroinform<\/i>\u00a0(2020).<\/a><\/p>\n

Full Text<\/strong><\/a><\/p>\n

Abstract<\/h2>\n

Brain atlases have proven to be valuable neuroscience tools for localizing regions of interest and performing statistical inferences on populations. Although many human brain atlases exist, most do not contain information about white matter structures, often neglecting them completely or labelling all white matter as a single homogenous substrate. While few white matter atlases do exist based on diffusion MRI fiber tractography, they are often limited to descriptions of white matter as spatially separate \u201cregions\u201d rather than as white matter \u201cbundles\u201d or fascicles, which are well-known to overlap throughout the brain. Additional limitations include small sample sizes, few white matter pathways, and the use of outdated diffusion models and techniques. Here, we present a new population-based collection of white matter atlases represented in both volumetric and surface coordinates in a standard space. These atlases are based on 2443 subjects, and include 216 white matter bundles derived from 6 different automated state-of-the-art tractography techniques. This atlas is freely available and will be a useful resource for parcellation and segmentation.<\/p>\n

\"Experimental
Experimental workflow and generation of Pandora atlases. Data from three repositories (HCP, BLSA, and VU) were curated. Subject-level processing includes tractography and registration to MNI space. Volumetric atlases for each set of bundle definitions is created by population-averaging in standard space. Point clouds are displayed which allow qualitative visualization of probability densities of a number of fiber pathways. Finally, surface atlases are created by assigning indices to the vertices of the MNI template white matter\/gray matter boundary.<\/figcaption><\/figure>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Colin B. Hansen,\u00a0Qi Yang,\u00a0\u00a0Ilwoo Lyu,\u00a0Francois Rheault,\u00a0Cailey Kerley,\u00a0Bramsh Qamar Chandio,\u00a0Shreyas Fadnavis,\u00a0Owen Williams,\u00a0Andrea T. Shafer,\u00a0Susan M. Resnick,\u00a0David H. Zald,\u00a0Laurie E. Cutting,\u00a0Warren D. Taylor,\u00a0Brian Boyd,\u00a0Eleftherios Garyfallidis,\u00a0Adam W. Anderson,\u00a0Maxime Descoteaux,\u00a0Bennett A. Landman,\u00a0Kurt G. Schilling.\u00a0Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography.\u00a0Neuroinform\u00a0(2020). Full Text Abstract Brain atlases have proven to be valuable neuroscience tools for…<\/p>\n","protected":false},"author":8424,"featured_media":2608,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27,33,9,132,49],"tags":[],"class_list":["post-2607","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-diffusion-tensor-imaging","category-diffusion-weighted-mri","category-harmonization","category-tractography"],"_links":{"self":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/2607","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/users\/8424"}],"replies":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/comments?post=2607"}],"version-history":[{"count":4,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/2607\/revisions"}],"predecessor-version":[{"id":2754,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/2607\/revisions\/2754"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/media\/2608"}],"wp:attachment":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/media?parent=2607"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/categories?post=2607"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/tags?post=2607"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}