{"id":554120,"date":"2021-06-28T16:42:56","date_gmt":"2021-06-28T20:42:56","guid":{"rendered":"https:\/\/engineering.jhu.edu\/ece\/event\/thesis-proposal-golnoosh-kamali\/"},"modified":"2021-06-28T16:42:56","modified_gmt":"2021-06-28T20:42:56","slug":"thesis-proposal-golnoosh-kamali","status":"publish","type":"tribe_events","link":"https:\/\/engineering.jhu.edu\/ece\/event\/thesis-proposal-golnoosh-kamali\/","title":{"rendered":"Thesis Proposal: Golnoosh Kamali"},"content":{"rendered":"<p>This event will occur remotely in a Zoom meeting at this link. Please do not join the meeting until at least 15 minutes before the presentation is scheduled to start. <br \/>Title: Using Systems Modeling to Localize the Seizure Onset Zone in Epilepsy Patients from Single Pulse Electrical Stimulation Recordings<br \/>Abstract: Surgical resection of the seizure onset zone (SOZ) could potentially lead to seizure-freedom in medically refractory epilepsy patients. However, localizing the SOZ can be a time consuming and tedious process involving visual inspection of intracranial electroencephalographic (iEEG) recordings captured during passive patient monitoring. Single pulse electrical stimulation (SPES) is currently performed on patients undergoing invasive EEG monitoring for the main purposes of mapping functional brain networks such as language and motor networks. We hypothesize that evoked responses from SPES can also be used to localize the SOZ as they may express the natural frequencies and connectivity of the iEEG network. To test our hypothesis, we construct patient specific single-input multi-output transfer function models from the evoked responses recorded from eight epilepsy patients that underwent SPES evaluation and iEEG monitoring. Our preliminary results suggest that the stimulation electrodes that produced the highest system gain, as measured by the ????\u221e norm, correspond to those electrodes clinically defined in the SOZ in successfully treated patients.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This event will occur remotely in a Zoom meeting at this link. Please do not join the meeting until at least 15 minutes before the presentation is scheduled to start.&hellip;<\/p>\n","protected":false},"author":3,"featured_media":0,"template":"","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[],"class_list":["post-554120","tribe_events","type-tribe_events","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Thesis Proposal: Golnoosh Kamali - Department of Electrical and Computer Engineering<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/ece\/event\/thesis-proposal-golnoosh-kamali\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Thesis Proposal: Golnoosh Kamali - Department of Electrical and Computer Engineering\" \/>\n<meta property=\"og:description\" content=\"This event will occur remotely in a Zoom meeting at this link. 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