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TinyFSCV: FSCV for the Masses

journal contribution
posted on 2020-01-01, 00:00 authored by Scott AdamsScott Adams, Egan DoevenEgan Doeven, S J Tye, K E Bennet, Michael BerkMichael Berk, Abbas KouzaniAbbas Kouzani
© 2001-2011 IEEE. The ability to monitor neurochemical dynamics in target brain regions with a high degree of temporal resolution has assisted researchers in investigating the pathogenesis, and pathophysiology of a variety of neurological and psychiatric disorders. Current systems for neurochemical monitoring are bulky or expensive, limiting widespread exploration of this research field and preventing large-scale parallel experimentation. In this paper, we present a new miniaturized research platform, the TinyFSCV system, which can be used to monitor dynamic changes in neurochemicals through Fast-Scan Cyclic Voltammetry (FSCV). This system contains a precision voltage output circuit that can accurately output potentials between -0.55 to 2 V and scan a connected electrochemical cell at up to 400 V/s, the required speed to sense most neurochemicals with FSCV. In addition, the device includes precision current measurement circuity with a measurement range of -115 to 115μA capable of taking measurements at up to 56 KS/s. Four experiments are conducted to demonstrate the capability of the system. These consisted of: static bench tests, static ferrocene tests, and static and dynamic dopamine tests. These experiments demonstrate the ability of the miniaturized platform to accurately sense and measure neurochemicals. Ultimately, the TinyFSCV system is a platform that can enable large-scale, low-cost parallel experimentation to take place in the field of neurochemical monitoring. In addition, this device will increase the accessibility of neurochemical sensing, providing advanced tools and techniques to more researchers, and facilitating widespread exploration of the field of neurodynamics.

History

Journal

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volume

28

Issue

1

Pagination

133 - 142

Publisher

IEEE

Location

Piscataway, N.J.

ISSN

1534-4320

eISSN

1558-0210

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal