{"627510":{"#nid":"627510","#data":{"type":"event","title":"PhD Defense by Sang-Eon Park","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESang-Eon Park\u003Cbr \/\u003E\r\nBioE Ph.D. Defense Presentation\u003Cbr \/\u003E\r\n2:00 pm, Friday, Oct. 25th, 2019\u003Cbr \/\u003E\r\nEmory University WMRB 5101 \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E\u003Cbr \/\u003E\r\nRobert E. Gross, M.D. Ph.D. (Georgia Institute of Technology\/Emory University)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBabak Mahmoudi, Ph.D. (Georgia Institute of Technology\/Emory University)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EChristopher J. Rozell, Ph.D. (Georgia Institute of Technology)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJohn T. Gale, Ph.D. (Emory University)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJoseph R. Manns, Ph.D. (Emory University)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOptimizing neuromodulation for temporal lobe epilepsy treatment based on a surrogate neural state model\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003Ca name=\u0022_Hlk21099596\u0022\u003ETemporal lobe epilepsy is the most prevalent form of medication-resistant epilepsy, and current electrical stimulation therapy has not been able to accomplish the goal of seizure-freedom. This underscores the need for a new target and a different approach with more effective neuromodulation for epilepsy treatment.\u003C\/a\u003E The projections from the medial septum (MS) and its regulatory role on the hippocampus make it an attractive neuromodulation target. Optogenetics enables selective excitation or inhibition of individual genetically-defined neuronal subpopulations, and thus provides a chance to find a better target among neuronal subpopulations for inducing a greater therapeutic effect. I have exhaustively explored the effect of exciting or inhibiting different neuronal subpopulations in the normal rat medial septum by using optogenetic stimulation. As a result, MS optogenetic stimulation using hSynapsin promoter in combination with Channelrhodopsin-2 was well suited for modulating electrophysiological activity of the hippocampus.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003Ca name=\u0022_Hlk21024013\u0022\u003EThe conventional approach for preclinical studies requires a large amount of time and resources to find effective stimulation parameters and often fails due to the inter-subject variability in stimulation effect. As an alternative, I presented a novel data-driven approach which can optimize the neuromodulation more effectively and efficiently by investigating the stimulation effect on the surrogate neural state model. For the new approach, I implemented and demonstrated a variety of machine learning techniques to explore the stimulation effect, to describe the pathological neural states and to optimize the stimulation parameters. Specifically, first, I built a data-driven neural state model to estimate a seizure susceptibility based on electrophysiological recordings. The output of the model played a surrogate role by providing a metric which was regulated via the MS optogenetic stimulation. Second, I further increased the effectiveness of the stimulation by implementing \u003Cem\u003Ein vivo\u003C\/em\u003E Bayesian optimization which quickly finds the subject-specific optimal stimulation parameters. Finally, I tested whether modulating the surrogate neural state model affected the symptom of epilepsy (i.e. seizure). The treatment efficacy of the data-driven surrogate approach was compared to the stimulation with an empirically selected parameter set. The stimulation parameters to maximize the hippocampal theta (4-10Hz) power, which was a surrogate of the epileptic symptom, was more effective than the empirically selected parameter (7Hz) for the seizure suppression. \u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":" OPTIMIZING NEUROMODULATION FOR TEMPORAL LOBE EPILEPSY TREATMENT BASED ON A SURROGATE NEURAL STATE MODEL"}],"uid":"27707","created_gmt":"2019-10-11 18:36:59","changed_gmt":"2019-10-11 18:36:59","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-10-25T15:00:00-04:00","event_time_end":"2019-10-25T17:00:00-04:00","event_time_end_last":"2019-10-25T17:00:00-04:00","gmt_time_start":"2019-10-25 19:00:00","gmt_time_end":"2019-10-25 21:00:00","gmt_time_end_last":"2019-10-25 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}