Events Calendar

EE-EP Seminar - Dion Khodagholy, Monday, March 21st at 2:00pm in EEB 132

Speaker: Dion Khodagholy, New York University Langone Medical Center

Talk Title: Large-Scale Organic Neural Interface Devices

Abstract: Recording from neural networks at the temporal resolution of action potentials is critical for understanding how information is processed in the brain. We developed an organic, conformable, biocompatible and scalable neural interface electrode and transistor arrays that can record both Local Field Potential (LFP) and extracellular action potentials without penetrating the brain surface. We recorded spiking activity in both rodent experiments and intra-operatively in patients undergoing epilepsy surgery using a large-scale surface probe designed to enable localization of fine LFP activity and the underlying neuronal entrainment. Large-scale, chronically recorded data generated by these devices has broad applicability to the understanding of physiologic and pathologic network activity, control of brain-machine interfaces, and therapeutic closed-loop devices.

Biography: Dion Khodagholy is a fellow at the Simon's Society of Fellows and a postdoctoral research associate in Prof. György Buzsáki's laboratory at New York University Langone Medical Center (NYULMC). He received his Masters degree from University of Birmingham (UK) in Electronic and Communication Engineering. This was followed by a second Masters degree in Microelectronics at Ecole des Mines (France) combined with industry experience at Microelectronic Center of Provence. He attained his Ph.D. degree in Microelectronics at the Department of Bioelectronics (BEL) of Ecole des Mines with Prof. George Malliaras. At BEL, he focused on understanding organic semiconductor device physics and developing organic-based devices to interface with biology. His postdoctoral research at NYULMC is focused on three main domains: (i) design and development of large-scale, organic material-based neural interface devices; (ii) analysis of neural data acquired by these devices to understand large-scale neural network function; (iii) translation of these advancements to neural data acquisition systems in patients with epilepsy. His research explores the interface of electronics and the brain in the context of both applied and discovery sciences, with the ultimate goal of innovating in device engineering and neuroscience methods to improve diagnosis and treatment of neuropsychiatric disease.

Host: EE-Electrophysics

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

Audiences: Everyone Is Invited

Contact: Marilyn Poplawski