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A Novel Restricted Diffusion Model of Evoked Dopamine
[Image: see text] In vivo fast-scan cyclic voltammetry provides high-fidelity recordings of electrically evoked dopamine release in the rat striatum. The evoked responses are suitable targets for numerical modeling because the frequency and duration of the stimulus are exactly known. Responses recor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4176316/ https://www.ncbi.nlm.nih.gov/pubmed/24983330 http://dx.doi.org/10.1021/cn5000666 |
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author | Walters, Seth H. Taylor, I. Mitch Shu, Zhan Michael, Adrian C. |
author_facet | Walters, Seth H. Taylor, I. Mitch Shu, Zhan Michael, Adrian C. |
author_sort | Walters, Seth H. |
collection | PubMed |
description | [Image: see text] In vivo fast-scan cyclic voltammetry provides high-fidelity recordings of electrically evoked dopamine release in the rat striatum. The evoked responses are suitable targets for numerical modeling because the frequency and duration of the stimulus are exactly known. Responses recorded in the dorsal and ventral striatum of the rat do not bear out the predictions of a numerical model that assumes the presence of a diffusion gap interposed between the recording electrode and nearby dopamine terminals. Recent findings, however, suggest that dopamine may be subject to restricted diffusion processes in brain extracellular space. A numerical model cast to account for restricted diffusion produces excellent agreement between simulated and observed responses recorded under a broad range of anatomical, stimulus, and pharmacological conditions. The numerical model requires four, and in some cases only three, adjustable parameters and produces meaningful kinetic parameter values. |
format | Online Article Text |
id | pubmed-4176316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-41763162015-07-01 A Novel Restricted Diffusion Model of Evoked Dopamine Walters, Seth H. Taylor, I. Mitch Shu, Zhan Michael, Adrian C. ACS Chem Neurosci [Image: see text] In vivo fast-scan cyclic voltammetry provides high-fidelity recordings of electrically evoked dopamine release in the rat striatum. The evoked responses are suitable targets for numerical modeling because the frequency and duration of the stimulus are exactly known. Responses recorded in the dorsal and ventral striatum of the rat do not bear out the predictions of a numerical model that assumes the presence of a diffusion gap interposed between the recording electrode and nearby dopamine terminals. Recent findings, however, suggest that dopamine may be subject to restricted diffusion processes in brain extracellular space. A numerical model cast to account for restricted diffusion produces excellent agreement between simulated and observed responses recorded under a broad range of anatomical, stimulus, and pharmacological conditions. The numerical model requires four, and in some cases only three, adjustable parameters and produces meaningful kinetic parameter values. American Chemical Society 2014-07-01 /pmc/articles/PMC4176316/ /pubmed/24983330 http://dx.doi.org/10.1021/cn5000666 Text en Copyright © 2014 American Chemical Society Terms of Use (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) |
spellingShingle | Walters, Seth H. Taylor, I. Mitch Shu, Zhan Michael, Adrian C. A Novel Restricted Diffusion Model of Evoked Dopamine |
title | A Novel Restricted Diffusion Model of Evoked Dopamine |
title_full | A Novel Restricted Diffusion Model of Evoked Dopamine |
title_fullStr | A Novel Restricted Diffusion Model of Evoked Dopamine |
title_full_unstemmed | A Novel Restricted Diffusion Model of Evoked Dopamine |
title_short | A Novel Restricted Diffusion Model of Evoked Dopamine |
title_sort | novel restricted diffusion model of evoked dopamine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4176316/ https://www.ncbi.nlm.nih.gov/pubmed/24983330 http://dx.doi.org/10.1021/cn5000666 |
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