{"id":1960,"date":"2018-12-15T11:55:38","date_gmt":"2018-12-15T16:55:38","guid":{"rendered":"https:\/\/my.vanderbilt.edu\/masi\/?p=1960"},"modified":"2018-12-19T16:55:16","modified_gmt":"2018-12-19T21:55:16","slug":"confirmation-of-a-gyral-bias-in-diffusion-mri-fiber-tractography","status":"publish","type":"post","link":"https:\/\/my.vanderbilt.edu\/masi\/2018\/12\/confirmation-of-a-gyral-bias-in-diffusion-mri-fiber-tractography\/","title":{"rendered":"Confirmation of a Gyral Bias in Diffusion MRI Fiber Tractography"},"content":{"rendered":"<p>Kurt G Schilling, Yurui Gao, Iwona Stepniewska, Bennett A. Landman, and Adam W Anderson. \u201cConfirmation of a Gyral Bias in Diffusion MRI Fiber Tractography\u201d. Human Brain Mapping. 2018 Mar;39(3):1449-1466. doi: 10.1002\/hbm.23936.<\/p>\n<p><strong>Full text: https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Confirmation+of+a+Gyral+Bias+in+Diffusion+MRI+Fiber+Tractography<\/strong><\/p>\n<h2>Abstract<\/h2>\n<p><span class=\"highlight\">Diffusion<\/span> <span class=\"highlight\">MRI<\/span> <span class=\"highlight\">fiber<\/span> <span class=\"highlight\">tractography<\/span> has been increasingly used to map the structural connectivity of the human brain. However, this technique is not without limitations; for example, there is a growing concern over anatomically correlated <span class=\"highlight\">bias<\/span> in <span class=\"highlight\">tractography<\/span> findings. In this study, we demonstrate that there is a <span class=\"highlight\">bias<\/span> for <span class=\"highlight\">fiber<\/span> tracking algorithms to terminate preferentially on <span class=\"highlight\">gyral<\/span> crowns, rather than the banks of sulci. We investigate this issue by comparing <span class=\"highlight\">diffusion<\/span> <span class=\"highlight\">MRI<\/span> (dMRI) <span class=\"highlight\">tractography<\/span> with equivalent measures made on myelin-stained histological sections. We begin by investigating the orientation and trajectories of axons near the white matter\/gray matter boundary, and the density of axons entering the cortex at different locations along <span class=\"highlight\">gyral<\/span> blades. These results are compared with dMRI orientations and tract densities at the same locations, where we find a significant <span class=\"highlight\">gyral<\/span> <span class=\"highlight\">bias<\/span> in many <span class=\"highlight\">gyral<\/span> blades across the brain. This effect is shown for a range of tracking algorithms, both deterministic and probabilistic, and multiple <span class=\"highlight\">diffusion<\/span> models, including the <span class=\"highlight\">diffusion<\/span> tensor and a high angular resolution <span class=\"highlight\">diffusion<\/span> imaging technique. Additionally, the <span class=\"highlight\">gyral<\/span> <span class=\"highlight\">bias<\/span> occurs for a range of <span class=\"highlight\">diffusion<\/span>weightings, and even for very high-resolution datasets. The <span class=\"highlight\">bias<\/span> could significantly affect connectivity results using the current generation of tracking algorithms.<\/p>\n<p><b>Keywords:<\/b><\/p>\n<p>brain; connectivity; <span class=\"highlight\">diffusion<\/span> <span class=\"highlight\">MRI<\/span>; <span class=\"highlight\">gyral<\/span> <span class=\"highlight\">bias<\/span>; histology; <span class=\"highlight\">tractography<\/span>; validation<\/p>\n<figure id=\"attachment_1961\" aria-describedby=\"caption-attachment-1961\" style=\"width: 598px\" class=\"wp-caption alignleft\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-1961\" src=\"https:\/\/my.vanderbilt.edu\/masi\/wp-content\/uploads\/sites\/2304\n2661\/2018\/12\/hbm23936-fig-0005-m.jpg\" alt=\"Subset of DTI streamlines for each tracking strategy. Labels for crown, wall, and fundi are shown with a zoomed in view of the SFG. DTI streamlines are shown for M1 (whole brain seeding), M2 (WM seeding), and M3 (WMGM boundary seeding), and are colored based on streamline orientation. The dashed arrow highlights a fundus, where no streamlines are able to propagate. The solid arrow points toward the increased curvature of streamlines entering the GM. And the oval highlights a large, homogenous, area of WM, where seeding will contribute to over\u2010representation of fibers terminating at the crown\" width=\"598\" height=\"1235\" \/><figcaption id=\"caption-attachment-1961\" class=\"wp-caption-text\">Subset of DTI streamlines for each tracking strategy. Labels for crown, wall, and fundi are shown with a zoomed in view of the SFG. DTI streamlines are shown for M1 (whole brain seeding), M2 (WM seeding), and M3 (WMGM boundary seeding), and are colored based on streamline orientation. The dashed arrow highlights a fundus, where no streamlines are able to propagate. The solid arrow points toward the increased curvature of streamlines entering the GM. And the oval highlights a large, homogenous, area of WM, where seeding will contribute to over\u2010representation of fibers terminating at the crown<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Kurt G Schilling, Yurui Gao, Iwona Stepniewska, Bennett A. Landman, and Adam W Anderson. \u201cConfirmation of a Gyral Bias in Diffusion MRI Fiber Tractography\u201d. Human Brain Mapping. 2018 Mar;39(3):1449-1466. doi: 10.1002\/hbm.23936. Full text: https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Confirmation+of+a+Gyral+Bias+in+Diffusion+MRI+Fiber+Tractography Abstract Diffusion MRI fiber tractography has been increasingly used to map the structural connectivity of the human brain. However, this technique&#8230;<\/p>\n","protected":false},"author":6324,"featured_media":1961,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[124,33,9,1,49],"tags":[],"class_list":["post-1960","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-crossing-fibers","category-diffusion-tensor-imaging","category-diffusion-weighted-mri","category-news","category-tractography"],"_links":{"self":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/1960","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\/6324"}],"replies":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/comments?post=1960"}],"version-history":[{"count":1,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/1960\/revisions"}],"predecessor-version":[{"id":1962,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/posts\/1960\/revisions\/1962"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/media\/1961"}],"wp:attachment":[{"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/media?parent=1960"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/categories?post=1960"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/masi\/wp-json\/wp\/v2\/tags?post=1960"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}