Event Details

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The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) is a multi-site, international collaboration including a parallel study of humans and an animal model, collecting MRI, EEG, and blood samples. The development of epilepsy after TBI is a multifactorial process and crosses multiple modalities. Without a full understanding of the underlying biological effects, there are currently no cures for epilepsy. This study hopes to address both issues, calling upon data generated and collected at sites spread worldwide among different laboratories, clinical sites, in different formats, and across multicenter preclinical trials. Before these data can even be analyzed, a central platform is needed to standardize these data and provide tools for searching, viewing, annotating, and analyzing them. We have built a centralized data archive that will allow the broader research community to access these shared data in addition to analytic tools to identify and validate biomarkers of epileptogenesis in imaging and electrophysiology as well as in molecular, serological, and tissue data. Besides EpiBioS4Rx, we have also developed other large-scale multimodal data archives, including the Data Archive for the BRAIN Initiative (DABI) and the COVID-19 Data Archive (COVID-ARC) to encourage collaboration and expedite research in these areas.

Speaker Bio

Dominique Duncan is an assistant professor of Neurology at the USC Stevens Neuroimaging and Informatics Institute in the Laboratory of Neuro Imaging (LONI). Dr. Duncan’s background spans mathematics, engineering, and neuroscience. She is funded through both the NIH and NSF, and she has built international, multidisciplinary collaborations and developed novel analytic tools to analyze multimodal data, including imaging and electrophysiology, particularly in the areas of traumatic brain injury and epilepsy. By creating large-scale data repositories and linking them with analytic tools, for both neuroimaging and electrophysiology data as well as multimodal data of COVID-19 patients, she aims to encourage collaboration across multiple fields.

Host: Michael Pazzani, POC: Maura Covaci

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