{"662401":{"#nid":"662401","#data":{"type":"event","title":"Brain Space Initiative Talk Series: Deep learning for neuroradiological assessment of epilepsy","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;Friday, October 28, 2022\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E1:00\u0026nbsp;p.m. - 2:00 p.m.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation: Virtual \u003C\/strong\u003E\u003Cem\u003E(log-in instructions\u0026nbsp;below)\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E\u0026nbsp;Leonardo Bonilha\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeaker\u0026rsquo;s Title:\u003C\/strong\u003E\u0026nbsp;Professor of Neurology and Clinician Scientist\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeaker\u0026rsquo;s Affiliation\u003C\/strong\u003E: Emory University\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESeminar Title:\u003C\/strong\u003E\u0026nbsp;Deep learning for neuroradiological assessment of epilepsy\u003C\/p\u003E\r\n\r\n\u003Cp\u003EConventional neuroradiological diagnosis of epilepsy still relies on qualitative inspection of clinical MRI. Epilepsy is associated with subtle quantitative abnormalities that have not been leveraged to improve diagnostic accuracy. In this talk, we will discuss applications of deep learning to address this scientific and clinical gap.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBiosketch:\u0026nbsp;\u003C\/strong\u003EI am a Professor of Neurology and clinician scientist at Emory University. I am a clinical neurophysiologist and epileptologist, and I also have graduate and post-graduate degrees in computational neurosciences, clinical research and neuroimaging.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOverall, my research is focused on improving the understanding of the mechanisms that underlie neurological impairments, epilepsy and language processing. I am directly involved in mechanistic research projects related to epilepsy or aphasia. My research is also related to clinical trials for aphasia treatments.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn epilepsy research, I am the corresponding MPI on an R01 project to assess connectome markers of epilepsy surgical outcomes. Related to language and aphasia, I am the PI for an NIDCD supported R01 project on biomarkers of aphasia recovery using the brain connectome. I am the corresponding MPI for the phase II clinical trial speech entrainment for aphasia recovery (SpARc), and the PI of a core project related to brain health and aphasia recovery, as part of the ongoing P50 Center for the Study of Aphasia Recovery (C- STAR, PI Fridriksson).\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ERecommended Article:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EBonilha, L., Rorden, C., Castellano, G., Pereira, F., Rio, P. A., Cendes, F., \u0026amp; Li, L. M. (2004). Voxel-based morphometry reveals gray matter network atrophy in refractory medial temporal lobe epilepsy. Archives of neurology, 61(9), 1379-1384.\u0026nbsp;\u003Ca href=\u0022https:\/\/doi.org\/10.1001\/archneur.61.9.1379\u0022\u003ELink to Paper\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003EGleichgerrcht, E., Munsell, B., Bhatia, S., Vandergrift III, W. A., Rorden, C., McDonald, C., ... \u0026amp; Bonilha, L. (2018). Deep learning applied to whole\u2010brain connectome to determine seizure control after epilepsy surgery. Epilepsia, 59(9), 1643-1654.\u0026nbsp;\u003Ca href=\u0022https:\/\/doi.org\/10.1111\/epi.14528\u0022\u003ELink to Paper\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca name=\u0022_Hlk56149343\u0022\u003EGleichgerrcht, E., Munsell, B., Keller, S. S., Drane, D. L., Jensen, J. H., Spampinato, M. V., ... \u0026amp; Bonilha, L. (2022). Radiological identification of temporal lobe epilepsy using artificial intelligence: a feasibility study. Brain communications, 4(2), fcab284.\u0026nbsp;\u003C\/a\u003E\u003Ca href=\u0022https:\/\/doi.org\/10.1093\/braincomms\/fcab284\u0022\u003ELink to Paper\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003EGleichgerrcht, E., Munsell, B. C., Alhusaini, S., Alvim, M. K., Bargall\u0026oacute;, N., Bender, B., ... \u0026amp; Wiest, R. (2021). Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study. NeuroImage: Clinical, 31, 102765.\u0026nbsp;\u003Ca href=\u0022https:\/\/doi.org\/10.1016\/j.nicl.2021.102765\u0022\u003ELink to Paper\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELog-in Instructions:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMeeting number: 2622 361 2798\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPassword: mZbM2SCNB33 (69262726 from phones)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/gsumeetings.webex.com\/gsumeetings\/j.php?MTID=m8be1d676c52dbc821ceb6f6edd83b4be\u0022\u003Ehttps:\/\/gsumeetings.webex.com\/gsumeetings\/j.php?MTID=m8be1d676c52dbc821ceb6f6edd83b4be\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJoin by phone\u003C\/p\u003E\r\n\r\n\u003Cp\u003E+1-415-655-0002 US Toll\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAccess code: 2622 361 2798\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELog-in Instructions:\u003C\/strong\u003E\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Featuring Leonardo Bonilha, professor of neurology and clinician scientist at Emory University"}],"uid":"36172","created_gmt":"2022-10-21 01:23:48","changed_gmt":"2022-10-21 01:29:41","author":"dwatson71","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-10-28T14:00:00-04:00","event_time_end":"2022-10-28T15:00:00-04:00","event_time_end_last":"2022-10-28T15:00:00-04:00","gmt_time_start":"2022-10-28 18:00:00","gmt_time_end":"2022-10-28 19:00:00","gmt_time_end_last":"2022-10-28 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:Armin Iraji\u0022\u003EArmin Iraji\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}