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Hitchhiker’s Guide to Voltammetry: Acute and Chronic Electrodes for in Vivo Fast-Scan Cyclic Voltammetry
Open accessAbstract
Fast-scan cyclic voltammetry (FSCV) has been used for over 20 years to study rapid neurotransmission in awake and behaving animals. These experiments were first carried out with carbon-fiber microelectrodes (CFMs) encased in borosilicate glass, which can be inserted into the brain through micromanipulators and guide cannulas. More recently, chronically implantable CFMs constructed with small diameter fused-silica have been introduced. These electrodes can be affixed in the brain with minimal tissue response, which permits longitudinal measurements of neurotransmission in single recording locations during behavior. Both electrode designs have been used to make novel discoveries in the fields of neurobiology, behavioral neuroscience, and psychopharmacology. The purpose of this Review is to address important considerations for the use of FSCV to study neurotransmitters in awake and behaving animals, with a focus on measurements of striatal dopamine. Common issues concerning experimental design, data collection, and calibration are addressed. When necessary, differences between the two methodologies (acute vs chronic recordings) are discussed. The topics raised in this Review are particularly important as the field moves beyond dopamine toward new neurochemicals and brain regions.
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Cites
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Discrete coding of reward probability and uncertainty by dopamine neurons
Fiorillo, C. D., Tobler, P. N., & Schultz, W. (2003) · Science · doi:10.1126/science.1077349 · Cited by 2,085
Subsecond dopamine release promotes cocaine seeking
Phillips, P. E. M., Stuber, G. D., Heien, M. L. A. V., Wightman, R. M., & Carelli, R. M. (2003) · Nature · doi:10.1038/nature01476 · Cited by 1,113
Self-citationA selective role for dopamine in stimulus-reward learning
Flagel, S. B., Clark, J. J., Robinson, T. E., Mayo, L., Czuj, A., Willuhn, I., Akers, C. A., Clinton, S. M., Phillips, P. E. M., & Akil, H. (2011) · Nature · doi:10.1038/nature09588 · Cited by 1,026
Self-citationDopamine responses comply with basic assumptions of formal learning theory
Waelti, P., Dickinson, A., & Schultz, W. (2001) · Nature · doi:10.1038/35083500 · Cited by 1,018
Kozai, T. D. Y., Langhals, N. B., Patel, P. R., Deng, X., Zhang, H., Smith, K. L., Lahann, J., Kotov, N. A., & Kipke, D. R. (2012) · Nature Materials · doi:10.1038/nmat3468 · Cited by 721
Dopamine operates as a subsecond modulator of food seeking
Roitman, M. F., Stuber, G. D., Phillips, P. E. M., Wightman, R. M., & Carelli, R. M. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.3823-03.2004 · Cited by 718
Self-citationAssociative learning mediates dynamic shifts in dopamine signaling in the nucleus accumbens
Day, J. J., Roitman, M. F., Wightman, R. M., & Carelli, R. M. (2007) · Nature Neuroscience · doi:10.1038/nn1923 · Cited by 710
Self-citationBrain Tissue Responses to Neural Implants Impact Signal Sensitivity and Intervention Strategies
Kozai, T. D. Y., Jaquins-Gerstl, A. S., Vazquez, A. L., Michael, A. C., & Cui, X. T. (2015) · ACS Chemical Neuroscience · doi:10.1021/cn500256e · Cited by 622
Real-time measurement of dopamine fluctuations after cocaine in the brain of behaving rats
Heien, M. L. A. V., Khan, A. S., Ariansen, J. L., Cheer, J. F., Phillips, P. E. M., Wassum, K. M., & Wightman, R. M. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504657102 · Cited by 482
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Sun, F., Zeng, J., Jing, M., Zhou, J., Feng, J., Owen, S. F., Luo, Y., Li, F., Wang, H., Yamaguchi, T., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.042 · Cited by 837
Fundamentals of fast-scan cyclic voltammetry for dopamine detection
Venton, B. J., & Cao, Q. (2020) · The Analyst · doi:10.1039/c9an01586h · Cited by 357
Espinoza, E. M., Clark, J. A., Soliman, J., Derr, J. B., Morales, M., & Vullev, V. I. (2019) · Journal of The Electrochemical Society · doi:10.1149/2.0241905jes · Cited by 316
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Frank, J. A., Antonini, M.-J., & Anikeeva, P. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0198-8 · Cited by 241
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Metadata
- Authors
- Rodeberg, N. T., Sandberg, S. G., Johnson, J. A., Phillips, P. E. M., & Wightman, R. M.
- Venue
- ACS Chemical Neuroscience
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-02-09
- Volume
- 8
- Issue
- 2
- Pages
- 221-234
- ISSN
- 1948-7193 (ISSN-L)
- OpenAlex
- W2579983465
- Cited by
- 226
- References
- 18
- FWCI
- 11.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
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