Funding

Active Grants

Investigator Grant Title Funding Source Goal
Gregory A. Worrell, M.D., Ph.D. Mayo-ASU high-resolution brain mapping ASU Collaborative Fund Deepen the alliance between Mayo Clinic and Arizona State University; leverage the knowledge and resources of both institutions to improve patient care and attract future center-level external funding.
Gregory A. Worrell, M.D., Ph.D. Reliable seizure prediction using physiological signals and machine learning NIH/NINDS (R01NS 92882-4) Treat seizures and the psychological impact of epilepsy more effectively by providing patients with real-time seizure forecasting.
Gregory A. Worrell, M.D., Ph.D. Brain stimulation diagnostics and therapeutics ICRC (ICRC 2017) Advance the science and clinical translation of brain stimulation theranostics for neurological disease.
Gregory A. Worrell, M.D., Ph.D. Astrocyte-derived extracellular vesicles: Epilepsy promoters, repressors and brain stimulation Minnesota Partnership (MNP #17.16) Study a novel mechanism underlying the anti-epileptic effect by focal electrical brain stimulation.
Gregory A. Worrell, M.D., Ph.D. Biomarker targeted stimulation for epilepsy: A multicenter series Epilepsy Foundation Accelerate the commercialization and dissemination of biomarker targeted stimulation (BTS), a novel therapy developed at Mayo Clinic to treat adult and pediatric patients with drug-resistant epilepsy.
Gregory A. Worrell, M.D., Ph.D. Neurophysiologically based brain state tracking and modulation in focal epilepsy NINDS (UH3NS 95495-4) Develop an epilepsy management and therapy platform using Medtronic's 3rd-generation implantable device, the RC+S.
Gregory A. Worrell, M.D., Ph.D. The glial mechanism for electrical brain stimulation NIH (R01NS 112144) Help guide optimization of stimulation with next-generation EBS devices, with the ultimate goal of enhancing efficacy and treatments for patients with neurological disorders.
Benjamin (Ben) H. Brinkmann, Ph.D. Benchmarking practical minimally invasive seizure warning and alert systems Epilepsy Foundation Investigate physiological signals available via non-and minimally-invasive sensors to forecast and detect seizures in patients with epilepsy.
William C. Stacey, M.D. Ph.D.
(University of Michigan)
Characterizing high-frequency oscillations as an epilepsy biomarker with big data tools NIH/NINDS (R01R01NS 94399-4) Establish HFOs as a clinically viable biomarker of seizures, allowing their translation into clinical EEG and leading to future prospective clinical studies identifying the location and timing of seizure onset.
Bin He, Ph.D.
(Carnegie Mellon)
Electrophysiological source imaging of partial epilepsy NINDS (R01NS 96761-4) Advance the science of noninvasively localized epileptic brain.
Bin He, Ph.D.
(Carnegie Mellon)
Spatiotemporal dynamic imaging of seizure sources NIBIB (R01EB 21027) Develop and validate novel engineering techniques to directly image seizure onset zone from high-density EEG recordings.
Lara Jehi, M.D.
(Cleveland Clinic)
A nomogram to predict seizure outcomes after resective epilepsy surgery R01 (NS097719) Develop and validate a nomogram to predict seizure outcomes after epilepsy surgery. The goal of this project is to study the concept that accurate individualized epilepsy surgery outcome prediction is possible using the nomogram methodology.
Lara Jehi, M.D.
(Cleveland Clinic)
Abnormal interleukin 1-b and inflammasome activation as a mechanism of seizure recurrence after resective epilepsy surgery NINDS (R21NS 99734) Advance the science and clinical translation of seizure recurrence after resective epilepsy surgery.
LongJun (Long-Jun) Wu, Ph.D. The role of microglia in epilepsy NINDS (R01NS 88627-7) Advance the science and clinical translation of the role microglia play in epilepsy.
Charles L. Howe, Ph.D. Peri-electrode large molecule microdialysis of the brain during induced seizures in mice, pigs and humans with epilepsy undergoing resective surgery NINDS (R21 NS 111756) Advance the science and clinical translation of peri-electrode large molecule microdialysis of the brain during induced seizures in mice, pigs and humans with epilepsy undergoing resective surgery.

Recently Completed Grants

Investigator Grant Title Funding Source Goal
Gregory A. Worrell, M.D., Ph.D. Neurophysiologically based brain state tracking and modulation in focal epilepsy NIH (UH2NS095495-01) Develop seizure forecasting using the Medtronic's 3rd-generation RC+S implantable device. This is a public-private partnership funded by the NIH Brain Initiative program. The device is now implanted in epileptic canines (yrs. 1-3) to demonstrate the feasibility of real-time seizure detection, forecasting, and electrical stimulation and control. In years 4-5 an IDE study in humans will be performed.
Squire (Matt) M. Stead, M.D., Ph.D. Micro-scale EEG interictal dynamics and transition into seizure in humans and animals NINDS (R01NS 78136-5) Advance the science and clinical translation of EEG interictal dynamics and transition into seizure in humans and animals.
Michael J. Kahana
(University of Pennsylvania)
Restoring active memory DARPA-RAM Collect and analyze data from patients undergoing intracranial EEG monitoring for evaluation of epilepsy surgery. Restoring Active Memory (RAM) is a multicenter project lead by Mike Kahana at UPenn to investigate brain stimulation for restoring and enhancing memory. My group at Mayo Clinic is 1 of 5 sites collecting and analyzing data from patients undergoing intracranial EEG monitoring for evaluation of epilepsy surgery.