Pedram Mohseni received the B.S. degree from the Sharif University of Technology, Tehran, Iran, in 1996, and the M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor, MI, USA, all in electrical engineering, in 1999 and 2005, respectively. Currently, he is a tenured Full Professor in the Electrical Engineering and Computer Science Department at Case Western Reserve University, Cleveland, OH, USA, with a secondary appointment in the Biomedical Engineering Department. His research interests include analog/mixed-signal/RF integrated circuits and microsystems for neural engineering, wireless sensing/actuating systems for brain-machine interfaces, interface circuits for micro/nano-scale sensors/actuators, and point-of-care diagnostic microsystems for personalized healthcare. Dr. Mohseni has been an Associate Editor for several IEEE journals since 2008, as well as a member of the Technical Program Committee of the IEEE RFIC Symposium (2012-2015), CICC (2012-present), and ISSCC (2016-present). The author of two book chapters, one issued and four pending patents, and over 80 refereed technical and scientific articles, he has received several awards including the National Science Foundation CAREER Award in 2009, Case School of Engineering Research Award in 2011, first-place prize of the Medical Device Entrepreneur's Forum at the 58th annual conference of the ASAIO in 2012, and EECS Mihajlo "Mike" Mesarovic Award for Extraordinary Impact in 2013. He is a member of the IEEE Solid-State Circuits, Circuits and Systems, and Engineering in Medicine and Biology Societies, as well as the administrative committee (AdCom) of the IEEE Sensors Council. Dr. Mohseni is the General co-Chair of the 2018 IEEE Biomedical Circuits and Systems (BioCAS) Conference, Cleveland, OH, USA.
Talk Title: High-Fidelity Sensing and Manipulation of Brain Neurochemistry
New enabling technologies for real-time, high-fidelity sensing and manipulation of brain neurochemistry at microscopic scales can provide the framework for ultimately developing new neuromodulation devices that impose therapeutic neurochemical profiles or maintain optimal neurochemical levels in disease states via real-time feedback control.
This tutorial will first cover the fundamentals of fast-scan cyclic voltammetry (FSCV) at a carbon-fiber microelectrode (CFM) as the preferred method for probing brain neurochemical dynamics with high temporal, spatial, and chemical resolution. The tutorial will next focus on integrated systems that combine FSCV-based recording, embedded signal processing, and electrical stimulation on a single chip for high-fidelity manipulation of brain neurochemistry. System-level solutions to handle stimulus artifacts along with chemometrics algorithms to resolve the target analyte from common interferents in vivo will be discussed. Two such systems realizing a dopamine temporal pattern generator and a dopamine "neurochemostat" will also be showcased and validated in vivo in a rodent model.
The tutorial will conclude with the coverage of ongoing works in other laboratories for the development of microelectrode arrays and microsystems for probing neurochemistry, as well as the main challenges that are yet to be solved.