Literature DB >> 3399057

Real-time characterization of dopamine overflow and uptake in the rat striatum.

R M Wightman1, C Amatore, R C Engstrom, P D Hale, E W Kristensen, W G Kuhr, L J May.   

Abstract

The rate of overflow and disappearance of dopamine from the extracellular fluid of the rat striatum has been measured during neuronal stimulation. Overflow of dopamine was induced by electrical stimulation of the medial forebrain bundle with biphasic pulse trains. The instantaneous concentration of dopamine was measured with a Nafion-coated, carbon fiber microelectrode implanted in the brain. The measurement technique, fast-scan cyclic voltammetry, samples the concentration of dopamine in less than 10 ms at 100 ms intervals. Identification of dopamine is made with cyclic voltammetry. Stimulated overflow was measured as a function of electrode position, stimulation duration, stimulation frequency, and after administration of L-DOPA and nomifensine. The observed concentration during a 2-s, 60-Hz stimulation was found to alter with position of the carbon fiber electrode. For stimuli of 3 s or less the amount of overflow was found to be a linear function of stimulus duration at a fixed electrode position. The observed overflow was found to be steady-state at a frequency of 30 Hz, suggesting a balance between uptake and synaptic overflow under these conditions. The experimental data was found to be successfully modelled when the balance of uptake and stimulated overflow was considered. It was assumed that each stimulus pulse releases a constant amount of dopamine (125 nM), and that uptake follows a Michaelis-Menten model for a single uptake site with Km = 200 nM and Vmax = 5 microM/s. The increase in stimulated overflow observed after L-DOPA (250 mg/kg) could be modelled by a 1.6-fold increase in the amount of dopamine release with no alteration of the uptake parameters. The increase in modelled by an increase in Km. In addition, the fit of the modelled data to the experimental data was improved when diffusion from the release and uptake sites was considered.

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Year:  1988        PMID: 3399057     DOI: 10.1016/0306-4522(88)90255-2

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  126 in total

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Authors:  Caroline E Bass; Valentina P Grinevich; Zachary B Vance; Ryan P Sullivan; Keith D Bonin; Evgeny A Budygin
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3.  In vivo comparison of norepinephrine and dopamine release in rat brain by simultaneous measurements with fast-scan cyclic voltammetry.

Authors:  Jinwoo Park; Pavel Takmakov; R Mark Wightman
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4.  Presynaptic dopaminergic function is largely unaltered in mesolimbic and mesostriatal terminals of adult rats that were prenatally exposed to cocaine.

Authors:  Paul E M Phillips; Josephine M Johns; Deborah A Lubin; Evgeny A Budygin; Raul R Gainetdinov; Jeffery A Lieberman; R Mark Wightman
Journal:  Brain Res       Date:  2003-01-24       Impact factor: 3.252

5.  Presynaptic dopamine dynamics in striatal brain slices with fast-scan cyclic voltammetry.

Authors:  Francis K Maina; Madiha Khalid; Aaron K Apawu; Tiffany A Mathews
Journal:  J Vis Exp       Date:  2012-01-12       Impact factor: 1.355

6.  Dopamine D3 autoreceptor inhibition enhances cocaine potency at the dopamine transporter.

Authors:  Molly M McGinnis; Cody A Siciliano; Sara R Jones
Journal:  J Neurochem       Date:  2016-08-15       Impact factor: 5.372

7.  Selective deletion of GRK2 alters psychostimulant-induced behaviors and dopamine neurotransmission.

Authors:  Tanya L Daigle; Mark J Ferris; Raul R Gainetdinov; Tatyana D Sotnikova; Nikhil M Urs; Sara R Jones; Marc G Caron
Journal:  Neuropsychopharmacology       Date:  2014-04-29       Impact factor: 7.853

8.  Phasic dopamine release in the rat nucleus accumbens symmetrically encodes a reward prediction error term.

Authors:  Andrew S Hart; Robb B Rutledge; Paul W Glimcher; Paul E M Phillips
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9.  Chronic intermittent ethanol exposure reduces presynaptic dopamine neurotransmission in the mouse nucleus accumbens.

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Journal:  Drug Alcohol Depend       Date:  2015-02-16       Impact factor: 4.492

Review 10.  Neurocomputational models of basal ganglia function in learning, memory and choice.

Authors:  Michael X Cohen; Michael J Frank
Journal:  Behav Brain Res       Date:  2008-10-04       Impact factor: 3.332

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