Literature DB >> 30218925

Tracking tonic dopamine levels in vivo using multiple cyclic square wave voltammetry.

Yoonbae Oh1, Michael L Heien2, Cheonho Park3, Yu Min Kang3, Jaekyung Kim3, Suelen Lucio Boschen1, Hojin Shin3, Hyun U Cho3, Charles D Blaha1, Kevin E Bennet4, Han Kyu Lee5, Sung Jun Jung5, In Young Kim3, Kendall H Lee6, Dong Pyo Jang7.   

Abstract

For over two decades, fast-scan cyclic voltammetry (FSCV) has served as a reliable analytical method for monitoring dopamine release in near real-time in vivo. However, contemporary FSCV techniques have been limited to measure only rapid (on the order of seconds, i.e. phasic) changes in dopamine release evoked by either electrical stimulation or elicited by presentation of behaviorally salient stimuli, and not slower changes in the tonic extracellular levels of dopamine (i.e. basal concentrations). This is because FSCV is inherently a differential method that requires subtraction of prestimulation tonic levels of dopamine to measure phasic changes relative to a zeroed baseline. Here, we describe the development and application of a novel voltammetric technique, multiple cyclic square wave voltammetry (M-CSWV), for analytical quantification of tonic dopamine concentrations in vivo with relatively high temporal resolution (10 s). M-CSWV enriches the electrochemical information by generating two dimensional voltammograms which enable high sensitivity (limit of detection, 0.17 nM) and selectivity against ascorbic acid, and 3,4-dihydroxyphenylacetic acid (DOPAC), including changes in pH. Using M-CSWV, a tonic dopamine concentration of 120 ± 18 nM (n = 7 rats, ± SEM) was determined in the striatum of urethane anethetized rats. Pharmacological treatments to elevate dopamine by selectively inhibiting dopamine reuptake and to reduce DOPAC by inhibition of monoamine oxidase supported the selective detection of dopamine in vivo. Overall, M-CSWV offers a novel voltammetric technique to quantify levels and monitor changes in tonic dopamine concentrations in the brain to further our understanding of the role of dopamine in normal behavior and neuropsychiatric disorders.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carbon-fiber microelectrodes; Dopamine; Electrochemistry; Rat; Striatum

Mesh:

Substances:

Year:  2018        PMID: 30218925      PMCID: PMC6775780          DOI: 10.1016/j.bios.2018.08.034

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  42 in total

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4.  Monitoring In Vivo Changes in Tonic Extracellular Dopamine Level by Charge-Balancing Multiple Waveform Fast-Scan Cyclic Voltammetry.

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5.  Biocompatible PEDOT:Nafion composite electrode coatings for selective detection of neurotransmitters in vivo.

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6.  In Vivo Ambient Serotonin Measurements at Carbon-Fiber Microelectrodes.

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Authors:  Adam K Dengler; Gregory S McCarty
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3.  Direct in Vivo Electrochemical Detection of Resting Dopamine Using Poly(3,4-ethylenedioxythiophene)/Carbon Nanotube Functionalized Microelectrodes.

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4.  The development of an implantable deep brain stimulation device with simultaneous chronic electrophysiological recording and stimulation in humans.

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5.  Clinical applications of neurochemical and electrophysiological measurements for closed-loop neurostimulation.

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6.  Cocaine increases stimulation-evoked serotonin efflux in the nucleus accumbens.

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Journal:  J Neurophysiol       Date:  2022-01-05       Impact factor: 2.714

7.  Sensitive and Selective Measurement of Serotonin in Vivo Using Fast Cyclic Square-Wave Voltammetry.

Authors:  Hojin Shin; Yoonbae Oh; Cheonho Park; Yumin Kang; Hyun U Cho; Charles D Blaha; Kevin E Bennet; Michael L Heien; In Young Kim; Kendall H Lee; Dong Pyo Jang
Journal:  Anal Chem       Date:  2019-12-16       Impact factor: 6.986

8.  Electrochemical characteristics of ultramicro-dimensioned SIROF electrodes for neural stimulation and recording.

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9.  Divalent Cation Dependence Enhances Dopamine Aptamer Biosensing.

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Review 10.  Biomarkers for Deep Brain Stimulation in Animal Models of Depression.

Authors:  Jason Yuen; Aaron E Rusheen; Joshua Blair Price; Abhijeet S Barath; Hojin Shin; Abbas Z Kouzani; Michael Berk; Charles D Blaha; Kendall H Lee; Yoonbae Oh
Journal:  Neuromodulation       Date:  2021-06-09
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