Neurobiological model of stimulated dopamine neurotransmission to interpret fast-scan cyclic voltammetry data.
Identifieur interne : 000434 ( PubMed/Corpus ); précédent : 000433; suivant : 000435Neurobiological model of stimulated dopamine neurotransmission to interpret fast-scan cyclic voltammetry data.
Auteurs : Rashed Harun ; Christine M. Grassi ; Miranda J. Munoz ; Gonzalo E. Torres ; Amy K. WagnerSource :
- Brain research [ 1872-6240 ] ; 2015.
English descriptors
- KwdEn :
- Animals, Carbon, Corpus Striatum (drug effects), Corpus Striatum (physiology), Dopamine (metabolism), Dopamine Plasma Membrane Transport Proteins (metabolism), Dopamine Uptake Inhibitors (pharmacology), Electric Stimulation (methods), Electrodes, Implanted, Medial Forebrain Bundle (drug effects), Medial Forebrain Bundle (physiology), Methylphenidate (pharmacology), Models, Neurological, Rats, Sprague-Dawley, Signal Processing, Computer-Assisted, Synaptic Transmission (drug effects), Synaptic Transmission (physiology), Thermodynamics.
- MESH :
- chemical , metabolism : Dopamine, Dopamine Plasma Membrane Transport Proteins.
- chemical , pharmacology : Dopamine Uptake Inhibitors, Methylphenidate.
- chemical : Carbon.
- drug effects : Corpus Striatum, Medial Forebrain Bundle, Synaptic Transmission.
- methods : Electric Stimulation.
- physiology : Corpus Striatum, Medial Forebrain Bundle, Synaptic Transmission.
- Animals, Electrodes, Implanted, Models, Neurological, Rats, Sprague-Dawley, Signal Processing, Computer-Assisted, Thermodynamics.
Abstract
Fast-scan cyclic voltammetry (FSCV) is an electrochemical method that can assess real-time in vivo dopamine (DA) concentration changes to study the kinetics of DA neurotransmission. Electrical stimulation of dopaminergic (DAergic) pathways can elicit FSCV DA responses that largely reflect a balance of DA release and reuptake. Interpretation of these evoked DA responses requires a framework to discern the contribution of DA release and reuptake. The current, widely implemented interpretive framework for doing so is the Michaelis-Menten (M-M) model, which is grounded on two assumptions- (1) DA release rate is constant during stimulation, and (2) DA reuptake occurs through dopamine transporters (DAT) in a manner consistent with M-M enzyme kinetics. Though the M-M model can simulate evoked DA responses that rise convexly, response types that predominate in the ventral striatum, the M-M model cannot simulate dorsal striatal responses that rise concavely. Based on current neurotransmission principles and experimental FSCV data, we developed a novel, quantitative, neurobiological framework to interpret DA responses that assumes DA release decreases exponentially during stimulation and continues post-stimulation at a diminishing rate. Our model also incorporates dynamic M-M kinetics to describe DA reuptake as a process of decreasing reuptake efficiency. We demonstrate that this quantitative, neurobiological model is an extension of the traditional M-M model that can simulate heterogeneous regional DA responses following manipulation of stimulation duration, frequency, and DA pharmacology. The proposed model can advance our interpretive framework for future in vivo FSCV studies examining regional DA kinetics and their alteration by disease and DA pharmacology.
DOI: 10.1016/j.brainres.2014.12.020
PubMed: 25527399
Links to Exploration step
pubmed:25527399Le document en format XML
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Grassi</name><affiliation><nlm:affiliation>Department of Physical Medicine & Rehabilitation, University of Pittsburgh, School of Medicine, 3471 Fifth Avenue, Kaufmann Building, Suite 202, Pittsburgh, PA 15213, USA. Electronic address: cmg73@pitt.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Munoz, Miranda J" sort="Munoz, Miranda J" uniqKey="Munoz M" first="Miranda J" last="Munoz">Miranda J. Munoz</name><affiliation><nlm:affiliation>Department of Neurological Sciences, Carnegie Mellon University, Mellon College of Science, 4400 Fifth Avenue, Pittsburgh, PA 15213, USA. Electronic address: mjmunoz@andrew.cmu.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Torres, Gonzalo E" sort="Torres, Gonzalo E" uniqKey="Torres G" first="Gonzalo E" last="Torres">Gonzalo E. Torres</name><affiliation><nlm:affiliation>Center for Neuroscience, University of Pittsburgh, 453 Fifth and Ruskin Avenue, Langley Hall, Suite A210, Pittsburgh, PA 15260, USA; Department of Neurobiology, University of Pittsburgh, School of Medicine, 3501 Fifth Avenue, Biomedical Science Tower 3, Room 6061, Pittsburgh, PA 15261, USA. Electronic address: gtorres@pitt.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Wagner, Amy K" sort="Wagner, Amy K" uniqKey="Wagner A" first="Amy K" last="Wagner">Amy K. 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Electronic address: rah28@pitt.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Grassi, Christine M" sort="Grassi, Christine M" uniqKey="Grassi C" first="Christine M" last="Grassi">Christine M. Grassi</name><affiliation><nlm:affiliation>Department of Physical Medicine & Rehabilitation, University of Pittsburgh, School of Medicine, 3471 Fifth Avenue, Kaufmann Building, Suite 202, Pittsburgh, PA 15213, USA. Electronic address: cmg73@pitt.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Munoz, Miranda J" sort="Munoz, Miranda J" uniqKey="Munoz M" first="Miranda J" last="Munoz">Miranda J. Munoz</name><affiliation><nlm:affiliation>Department of Neurological Sciences, Carnegie Mellon University, Mellon College of Science, 4400 Fifth Avenue, Pittsburgh, PA 15213, USA. Electronic address: mjmunoz@andrew.cmu.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Torres, Gonzalo E" sort="Torres, Gonzalo E" uniqKey="Torres G" first="Gonzalo E" last="Torres">Gonzalo E. Torres</name><affiliation><nlm:affiliation>Center for Neuroscience, University of Pittsburgh, 453 Fifth and Ruskin Avenue, Langley Hall, Suite A210, Pittsburgh, PA 15260, USA; Department of Neurobiology, University of Pittsburgh, School of Medicine, 3501 Fifth Avenue, Biomedical Science Tower 3, Room 6061, Pittsburgh, PA 15261, USA. Electronic address: gtorres@pitt.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Wagner, Amy K" sort="Wagner, Amy K" uniqKey="Wagner A" first="Amy K" last="Wagner">Amy K. Wagner</name><affiliation><nlm:affiliation>Center for Neuroscience, University of Pittsburgh, 453 Fifth and Ruskin Avenue, Langley Hall, Suite A210, Pittsburgh, PA 15260, USA; Department of Physical Medicine & Rehabilitation, University of Pittsburgh, School of Medicine, 3471 Fifth Avenue, Kaufmann Building, Suite 202, Pittsburgh, PA 15213, USA; Safar Center for Resuscitation Research, University of Pittsburgh, 3434 Fifth Avenue Hill Building, Pittsburgh, PA 15213, USA. Electronic address: wagnerak@upmc.edu.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Brain research</title><idno type="eISSN">1872-6240</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Carbon</term><term>Corpus Striatum (drug effects)</term><term>Corpus Striatum (physiology)</term><term>Dopamine (metabolism)</term><term>Dopamine Plasma Membrane Transport Proteins (metabolism)</term><term>Dopamine Uptake Inhibitors (pharmacology)</term><term>Electric Stimulation (methods)</term><term>Electrodes, Implanted</term><term>Medial Forebrain Bundle (drug effects)</term><term>Medial Forebrain Bundle (physiology)</term><term>Methylphenidate (pharmacology)</term><term>Models, Neurological</term><term>Rats, Sprague-Dawley</term><term>Signal Processing, Computer-Assisted</term><term>Synaptic Transmission (drug effects)</term><term>Synaptic Transmission (physiology)</term><term>Thermodynamics</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Dopamine</term><term>Dopamine Plasma Membrane Transport Proteins</term></keywords><keywords scheme="MESH" type="chemical" qualifier="pharmacology" xml:lang="en"><term>Dopamine Uptake Inhibitors</term><term>Methylphenidate</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Carbon</term></keywords><keywords scheme="MESH" qualifier="drug effects" xml:lang="en"><term>Corpus Striatum</term><term>Medial Forebrain Bundle</term><term>Synaptic Transmission</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Electric Stimulation</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Corpus Striatum</term><term>Medial Forebrain Bundle</term><term>Synaptic Transmission</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Electrodes, Implanted</term><term>Models, Neurological</term><term>Rats, Sprague-Dawley</term><term>Signal Processing, Computer-Assisted</term><term>Thermodynamics</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Fast-scan cyclic voltammetry (FSCV) is an electrochemical method that can assess real-time in vivo dopamine (DA) concentration changes to study the kinetics of DA neurotransmission. Electrical stimulation of dopaminergic (DAergic) pathways can elicit FSCV DA responses that largely reflect a balance of DA release and reuptake. Interpretation of these evoked DA responses requires a framework to discern the contribution of DA release and reuptake. The current, widely implemented interpretive framework for doing so is the Michaelis-Menten (M-M) model, which is grounded on two assumptions- (1) DA release rate is constant during stimulation, and (2) DA reuptake occurs through dopamine transporters (DAT) in a manner consistent with M-M enzyme kinetics. Though the M-M model can simulate evoked DA responses that rise convexly, response types that predominate in the ventral striatum, the M-M model cannot simulate dorsal striatal responses that rise concavely. Based on current neurotransmission principles and experimental FSCV data, we developed a novel, quantitative, neurobiological framework to interpret DA responses that assumes DA release decreases exponentially during stimulation and continues post-stimulation at a diminishing rate. Our model also incorporates dynamic M-M kinetics to describe DA reuptake as a process of decreasing reuptake efficiency. We demonstrate that this quantitative, neurobiological model is an extension of the traditional M-M model that can simulate heterogeneous regional DA responses following manipulation of stimulation duration, frequency, and DA pharmacology. The proposed model can advance our interpretive framework for future in vivo FSCV studies examining regional DA kinetics and their alteration by disease and DA pharmacology.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25527399</PMID><DateCreated><Year>2015</Year><Month>02</Month><Day>27</Day></DateCreated><DateCompleted><Year>2015</Year><Month>12</Month><Day>01</Day></DateCompleted><DateRevised><Year>2015</Year><Month>02</Month><Day>27</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1872-6240</ISSN><JournalIssue CitedMedium="Internet"><Volume>1599</Volume><PubDate><Year>2015</Year><Month>Mar</Month><Day>02</Day></PubDate></JournalIssue><Title>Brain research</Title><ISOAbbreviation>Brain Res.</ISOAbbreviation></Journal><ArticleTitle>Neurobiological model of stimulated dopamine neurotransmission to interpret fast-scan cyclic voltammetry data.</ArticleTitle><Pagination><MedlinePgn>67-84</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.brainres.2014.12.020</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0006-8993(14)01689-8</ELocationID><Abstract><AbstractText>Fast-scan cyclic voltammetry (FSCV) is an electrochemical method that can assess real-time in vivo dopamine (DA) concentration changes to study the kinetics of DA neurotransmission. Electrical stimulation of dopaminergic (DAergic) pathways can elicit FSCV DA responses that largely reflect a balance of DA release and reuptake. Interpretation of these evoked DA responses requires a framework to discern the contribution of DA release and reuptake. The current, widely implemented interpretive framework for doing so is the Michaelis-Menten (M-M) model, which is grounded on two assumptions- (1) DA release rate is constant during stimulation, and (2) DA reuptake occurs through dopamine transporters (DAT) in a manner consistent with M-M enzyme kinetics. Though the M-M model can simulate evoked DA responses that rise convexly, response types that predominate in the ventral striatum, the M-M model cannot simulate dorsal striatal responses that rise concavely. Based on current neurotransmission principles and experimental FSCV data, we developed a novel, quantitative, neurobiological framework to interpret DA responses that assumes DA release decreases exponentially during stimulation and continues post-stimulation at a diminishing rate. Our model also incorporates dynamic M-M kinetics to describe DA reuptake as a process of decreasing reuptake efficiency. We demonstrate that this quantitative, neurobiological model is an extension of the traditional M-M model that can simulate heterogeneous regional DA responses following manipulation of stimulation duration, frequency, and DA pharmacology. The proposed model can advance our interpretive framework for future in vivo FSCV studies examining regional DA kinetics and their alteration by disease and DA pharmacology.</AbstractText><CopyrightInformation>Copyright © 2015 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Harun</LastName><ForeName>Rashed</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Center for Neuroscience, University of Pittsburgh, 453 Fifth and Ruskin Avenue, Langley Hall, Suite A210, Pittsburgh, PA 15260, USA; Department of Physical Medicine & Rehabilitation, University of Pittsburgh, School of Medicine, 3471 Fifth Avenue, Kaufmann Building, Suite 202, Pittsburgh, PA 15213, USA; Safar Center for Resuscitation Research, University of Pittsburgh, 3434 Fifth Avenue Hill Building, Pittsburgh, PA 15213, USA. Electronic address: rah28@pitt.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Grassi</LastName><ForeName>Christine M</ForeName><Initials>CM</Initials><AffiliationInfo><Affiliation>Department of Physical Medicine & Rehabilitation, University of Pittsburgh, School of Medicine, 3471 Fifth Avenue, Kaufmann Building, Suite 202, Pittsburgh, PA 15213, USA. Electronic address: cmg73@pitt.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Munoz</LastName><ForeName>Miranda J</ForeName><Initials>MJ</Initials><AffiliationInfo><Affiliation>Department of Neurological Sciences, Carnegie Mellon University, Mellon College of Science, 4400 Fifth Avenue, Pittsburgh, PA 15213, USA. Electronic address: mjmunoz@andrew.cmu.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Torres</LastName><ForeName>Gonzalo E</ForeName><Initials>GE</Initials><AffiliationInfo><Affiliation>Center for Neuroscience, University of Pittsburgh, 453 Fifth and Ruskin Avenue, Langley Hall, Suite A210, Pittsburgh, PA 15260, USA; Department of Neurobiology, University of Pittsburgh, School of Medicine, 3501 Fifth Avenue, Biomedical Science Tower 3, Room 6061, Pittsburgh, PA 15261, USA. Electronic address: gtorres@pitt.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wagner</LastName><ForeName>Amy K</ForeName><Initials>AK</Initials><AffiliationInfo><Affiliation>Center for Neuroscience, University of Pittsburgh, 453 Fifth and Ruskin Avenue, Langley Hall, Suite A210, Pittsburgh, PA 15260, USA; Department of Physical Medicine & Rehabilitation, University of Pittsburgh, School of Medicine, 3471 Fifth Avenue, Kaufmann Building, Suite 202, Pittsburgh, PA 15213, USA; Safar Center for Resuscitation Research, University of Pittsburgh, 3434 Fifth Avenue Hill Building, Pittsburgh, PA 15213, USA. Electronic address: wagnerak@upmc.edu.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>12</Month><Day>16</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Brain Res</MedlineTA><NlmUniqueID>0045503</NlmUniqueID><ISSNLinking>0006-8993</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D050483">Dopamine Plasma Membrane Transport Proteins</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D018765">Dopamine Uptake Inhibitors</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="C016482">carbon fiber</NameOfSubstance></Chemical><Chemical><RegistryNumber>207ZZ9QZ49</RegistryNumber><NameOfSubstance UI="D008774">Methylphenidate</NameOfSubstance></Chemical><Chemical><RegistryNumber>7440-44-0</RegistryNumber><NameOfSubstance UI="D002244">Carbon</NameOfSubstance></Chemical><Chemical><RegistryNumber>VTD58H1Z2X</RegistryNumber><NameOfSubstance UI="D004298">Dopamine</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002244" MajorTopicYN="N">Carbon</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003342" MajorTopicYN="N">Corpus Striatum</DescriptorName><QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName><QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004298" 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UI="Q000502" MajorTopicYN="N">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008774" MajorTopicYN="N">Methylphenidate</DescriptorName><QualifierName UI="Q000494" MajorTopicYN="N">pharmacology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008959" MajorTopicYN="Y">Models, Neurological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017207" MajorTopicYN="N">Rats, Sprague-Dawley</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012815" MajorTopicYN="Y">Signal Processing, Computer-Assisted</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009435" MajorTopicYN="N">Synaptic Transmission</DescriptorName><QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013816" MajorTopicYN="N">Thermodynamics</DescriptorName></MeshHeading></MeshHeadingList><KeywordList 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