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Fast-Scan Voltammetry for In Vivo Measurements of Neurochemical Dynamics

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The Brain Reward System

Part of the book series: Neuromethods ((NM,volume 165))

Abstract

Background-subtracted fast-scan cyclic voltammetry (FSCV) is an electrochemical method that enables the monitoring of neurochemical dynamics in brain tissue with sub-second resolution. FSCV provides information regarding the magnitude and the time course of neurochemical release and reuptake, with additional qualitative information that can permit analyte identification. When performed in awake animals, this voltammetric approach can provide remarkable information regarding the molecular mechanisms that underlie goal-directed behavior and associative learning. In addition, FSCV can be used to quantify the impact of pharmacological agents on neurotransmitter kinetics. This chapter contains an explicit description of how to make these measurements in animals (rats) as well as critical considerations when interpreting FSCV data.

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Acknowledgments

Research in the Sombers laboratory on these topics has been funded by grants from the National Institutes of Health, the National Science Foundation, and NCSU Department of Chemistry. C.J.M. is supported by an NSF Graduate Research Fellowship (DGE-1252376). In addition, we gratefully acknowledge our colleagues and coworkers, past and present, for many of the studies cited in this review.

Author information

Authors and Affiliations

  1. Department of Chemistry, North Carolina State University, Raleigh, NC, USA

    Carl J. Meunier & Leslie A. Sombers

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  1. Carl J. Meunier
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  2. Leslie A. Sombers
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Correspondence to Leslie A. Sombers .

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  1. Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon

    Marc Fakhoury

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Meunier, C.J., Sombers, L.A. (2021). Fast-Scan Voltammetry for In Vivo Measurements of Neurochemical Dynamics. In: Fakhoury, M. (eds) The Brain Reward System. Neuromethods, vol 165. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1146-3_5

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  • DOI: https://doi.org/10.1007/978-1-0716-1146-3_5

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-1145-6

  • Online ISBN: 978-1-0716-1146-3

  • eBook Packages: Springer Protocols

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