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 present 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 CMOS-integrated microsystems 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 machine learning (ML)-assisted chemometrics algorithms to resolve the target analyte from common interferents in vivo will be discussed. Two such CMOS microsystems realizing a dopamine temporal pattern generator and a dopamine “neurochemostat” will be showcased and validated in vivo in a rodent model.
The tutorial will conclude with a discussion of new directions in neurochemical monitoring such as compressive sensing (CS) for real-time neurochemical data compression and high-fidelity reconstruction as well as circuit techniques for in situ analog background current subtraction. These directions are envisioned to pave the way toward high-channel-count sensing of brain neurochemistry.
Date and Time
Location
Hosts
Registration
- Date: 29 Oct 2024
- Time: 02:00 PM to 04:00 PM
- All times are (UTC+00:00) Edinburgh
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- Barlow Room (Room 807),
- Malet Place,
- London , England
- United Kingdom WC1E 7JE
- Building: Roberts building,
- Room Number: 807
- Starts 08 October 2024 12:00 PM
- Ends 29 October 2024 12:00 PM
- All times are (UTC+00:00) Edinburgh
- No Admission Charge
Speakers
Pedram of Case Western Reserve University, Cleveland, OH, USA.
High-Fidelity Sensing and Manipulation of Brain Neurochemistry
Biography:
Pedram Mohseni is the Goodrich Professor of Engineering Innovation and Inaugural Chair of the Electrical, Computer, and Systems Engineering Department at Case Western Reserve University, Cleveland, OH, USA. He 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, in 1999 and 2005, respectively, all in electrical engineering. His main research interests are in analog/mixed-signal/RF integrated bioelectronics, wireless power/data tranfer to biomedical implants, translational microfluidics, and microassays for point-of-care/point-of-injury diagnostics. His research activities have resulted in 2 book chapters, over 155 refereed publications, and 15 issued U.S. and international patents. He was the General co-Chair of the 2018 IEEE Biomedical Circuits and Systems (BioCAS) conference and will serve again as the General co-Chair of the conference in 2025. He currently serves as the Editor-in-Chief of the IEEE Transactions on Biomedical Circuits and Systems (TBioCAS). Dr. Mohseni was inducted into the U.S. National Academy of Inventors (NAI) in 2023 as a Senior Member for producing biomedical technologies that bring real impact on the welfare of society.