{"id":481,"date":"2018-10-21T15:22:03","date_gmt":"2018-10-21T19:22:03","guid":{"rendered":"https:\/\/www.bu.edu\/bravi\/?page_id=481"},"modified":"2018-10-21T15:31:55","modified_gmt":"2018-10-21T19:31:55","slug":"bme-seminar-computational-tools-for-the-analysis-of-brain-structure-function-and-connectivity-using-mri","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/bravi\/bme-seminar-computational-tools-for-the-analysis-of-brain-structure-function-and-connectivity-using-mri\/","title":{"rendered":"BME Seminar: Computational Tools for the Analysis of Brain Structure, Function and Connectivity using MRI"},"content":{"rendered":"<div class=\"content-panel full-post post\" id=\"post-997\">\n<p class=\"meta\">March 26th, 2012<\/p>\n<p>Wednesday \u2013 March 28 \u2013 4pm<\/p>\n<p><strong>Bruce Fischl, Ph.D<br \/>\nAssociate Professor, Harvard Medical School<br \/>\nAssociate in Neuroscience, Massachusetts General Hospital<\/strong><\/p>\n<p><strong><\/strong><strong>Computational Tools for the Analysis of Brain Structure, Function and<br \/>\nConnectivity using MRI<\/strong><\/p>\n<p>44 Cummington St, Room 203<\/p>\n<p>Abstract: Magnetic Resonance Imaging technology has progressed at an astonishing rate in the last decade, with an array of new image contrasts available at higher resolution, higher SNR and\/or reduced imaging time. In this talk I will discuss ongoing work at MGH with the goal of automatically extracting information from these images for the purposes of quantifying normal brain structure, function and connectivity as well as detecting departures from normal trajectories. This includes the construction and use of surface-based models of the human cerebral cortex, the modeling of major white matter fascicles from diffusion-weighted MRI, the probing of the laminar properties of the fMRI signal using models of cortical layers, and the use of ultra-high resolution ex vivo MRI to build probabilistic models of the relationship between microscopically defined boundaries and macroscopically observable geometry.<\/p>\n<\/div>\n<p class=\"meta\"><span class=\"tags\"><em><\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>March 26th, 2012 Wednesday \u2013 March 28 \u2013 4pm Bruce Fischl, Ph.D Associate Professor, Harvard Medical School Associate in Neuroscience, Massachusetts General Hospital Computational Tools for the Analysis of Brain Structure, Function and Connectivity using MRI 44 Cummington St, Room 203 Abstract: Magnetic Resonance Imaging technology has progressed at an astonishing rate in the last [&hellip;]<\/p>\n","protected":false},"author":15420,"featured_media":0,"parent":0,"menu_order":176,"comment_status":"closed","ping_status":"closed","template":"page-templates\/no-sidebars.php","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/bravi\/wp-json\/wp\/v2\/pages\/481"}],"collection":[{"href":"https:\/\/www.bu.edu\/bravi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/bravi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/bravi\/wp-json\/wp\/v2\/users\/15420"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/bravi\/wp-json\/wp\/v2\/comments?post=481"}],"version-history":[{"count":4,"href":"https:\/\/www.bu.edu\/bravi\/wp-json\/wp\/v2\/pages\/481\/revisions"}],"predecessor-version":[{"id":495,"href":"https:\/\/www.bu.edu\/bravi\/wp-json\/wp\/v2\/pages\/481\/revisions\/495"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/bravi\/wp-json\/wp\/v2\/media?parent=481"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}