{"id":66,"date":"2017-09-01T23:58:50","date_gmt":"2017-09-01T22:58:50","guid":{"rendered":"http:\/\/blogs.kent.ac.uk\/datascience\/?p=66"},"modified":"2018-05-09T12:24:30","modified_gmt":"2018-05-09T11:24:30","slug":"brain-networks-predict-metabolism-diagnosis-and-prognosis-at-the-bedside-in-disorders-of-consciousness","status":"publish","type":"post","link":"https:\/\/blogs.kent.ac.uk\/aida\/2017\/09\/01\/brain-networks-predict-metabolism-diagnosis-and-prognosis-at-the-bedside-in-disorders-of-consciousness\/","title":{"rendered":"Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness"},"content":{"rendered":"<p><strong><img loading=\"lazy\" class=\"size-medium wp-image-68 aligncenter\" src=\"http:\/\/blogs.kent.ac.uk\/datascience\/files\/2018\/05\/Brain-Aug2017-232x300.jpg\" alt=\"\" width=\"232\" height=\"300\" srcset=\"https:\/\/blogs.kent.ac.uk\/aida\/files\/2018\/05\/Brain-Aug2017-232x300.jpg 232w, https:\/\/blogs.kent.ac.uk\/aida\/files\/2018\/05\/Brain-Aug2017.jpg 520w\" sizes=\"(max-width: 232px) 100vw, 232px\" \/><\/strong><\/p>\n<p><em>In this paper, we applied advanced signal processing, network analysis and machine learning to high-density electroencephalographic data collected at rest from 104 patients with disorders of consciousness, to predict diagnosis, prognosis and brain metabolism.<\/em><\/p>\n<p><strong>Chennu<\/strong>, S., Annen, J., Wannez, S., Thibaut, A., Chatelle, C., Cassol, H., Martens, G., Schnakers, C., Gosseries, O., Menon, D. &amp; Laureys, S. 2017.<a href=\"https:\/\/academic.oup.com\/brain\/article\/doi\/10.1093\/brain\/awx163\/3896394\/Brain-networks-predict-metabolism-diagnosis-and?guestAccessKey=37194adc-cf03-49fd-a505-5df2afce0b79\">.<\/a>\u00a0<b><i>Brain<\/i><\/b>, awx163.\u00a0<a class=\"external-link\" title=\"\" href=\"https:\/\/oup.silverchair-cdn.com\/oup\/backfile\/Content_public\/Journal\/brain\/PAP\/10.1093_brain_awx163\/1\/awx163.pdf?Expires=1498777882&amp;Signature=e63ruHj9-5dFZczqyfWa8X3PQSWmeKe81ZKW7~tuQktxCikR8Nz0QOltu7BzMrIEhhSgzUOHSz1PJvV5W7pa6xzJxqajf7zMIcdJYmZr4G~DNO~LFwzOrXt8GkGxukakGz4opNXLYtezmqvIDHk3Ynu6xX8K3RWix7YJ9Bho2uR7pUS0cYHACk0tgUSz8K-imKnh6dSo3smZ9VtNWuXZkYV9SGPMXP2x4GPCRuLl5B9aIFvM~aPH-KrHwaq34enNZZp4Zn45dyuHG9QkqeI5e-QvQNToMlwZ9g-8cE79z4HDTWD3k4BHWEu1gQSUdDwVKCVfF4u5V67QoLv7u1RvRg__&amp;Key-Pair-Id=APKAIUCZBIA4LVPAVW3Q\" target=\"_self\">PDF<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper, we applied advanced signal processing, network analysis and machine learning to high-density electroencephalographic data collected at rest from 104 patients with disorders &hellip; <a href=\"https:\/\/blogs.kent.ac.uk\/aida\/2017\/09\/01\/brain-networks-predict-metabolism-diagnosis-and-prognosis-at-the-bedside-in-disorders-of-consciousness\/\">Read&nbsp;more<\/a><\/p>\n","protected":false},"author":55458,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[642],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.kent.ac.uk\/aida\/wp-json\/wp\/v2\/posts\/66"}],"collection":[{"href":"https:\/\/blogs.kent.ac.uk\/aida\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.kent.ac.uk\/aida\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/aida\/wp-json\/wp\/v2\/users\/55458"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/aida\/wp-json\/wp\/v2\/comments?post=66"}],"version-history":[{"count":4,"href":"https:\/\/blogs.kent.ac.uk\/aida\/wp-json\/wp\/v2\/posts\/66\/revisions"}],"predecessor-version":[{"id":85,"href":"https:\/\/blogs.kent.ac.uk\/aida\/wp-json\/wp\/v2\/posts\/66\/revisions\/85"}],"wp:attachment":[{"href":"https:\/\/blogs.kent.ac.uk\/aida\/wp-json\/wp\/v2\/media?parent=66"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/aida\/wp-json\/wp\/v2\/categories?post=66"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.kent.ac.uk\/aida\/wp-json\/wp\/v2\/tags?post=66"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}