Literature DB >> 20016105

An intrinsic neuronal oscillator underlies dopaminergic neuron bursting.

Christopher A Deister1, Mark A Teagarden, Charles J Wilson, Carlos A Paladini.   

Abstract

Dopaminergic neurons of the ventral midbrain fire high-frequency bursts when animals are presented with unexpected rewards, or stimuli that predict reward. To identify the afferents that can initiate bursting and establish therapeutic strategies for diseases affected by altered bursting, a mechanistic understanding of bursting is essential. Our results show that bursting is initiated by a specific interaction between the voltage sensitivity of NMDA receptors and voltage-gated ion channels that results in the activation of an intrinsic, action potential-independent, high-frequency membrane potential oscillation. We further show that the NMDA receptor is uniquely suited for this because of the rapid kinetics and voltage dependence imparted to it by Mg(2+) ion block and unblock. This mechanism explains the discrete nature of bursting in dopaminergic cells and demonstrates how synaptic signals may be reshaped by local intrinsic properties of a neuron before influencing action potential generation.

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Year:  2009        PMID: 20016105      PMCID: PMC2824818          DOI: 10.1523/JNEUROSCI.4053-09.2009

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  58 in total

1.  Apamin-sensitive Ca(2+)-activated K+ channels regulate pacemaker activity in nigral dopamine neurons.

Authors:  H X Ping; P D Shepard
Journal:  Neuroreport       Date:  1996-02-29       Impact factor: 1.837

2.  Modeling N-methyl-D-aspartate-induced bursting in dopamine neurons.

Authors:  Y X Li; R Bertram; J Rinzel
Journal:  Neuroscience       Date:  1996-03       Impact factor: 3.590

3.  Determinants of apamin and d-tubocurarine block in SK potassium channels.

Authors:  T M Ishii; J Maylie; J P Adelman
Journal:  J Biol Chem       Date:  1997-09-12       Impact factor: 5.157

4.  Stimulation of the prefrontal cortex in the rat induces patterns of activity in midbrain dopaminergic neurons which resemble natural burst events.

Authors:  Z Y Tong; P G Overton; D Clark
Journal:  Synapse       Date:  1996-03       Impact factor: 2.562

5.  Antagonism of NMDA receptors but not AMPA/kainate receptors blocks bursting in dopaminergic neurons induced by electrical stimulation of the prefrontal cortex.

Authors:  Z Y Tong; P G Overton; D Clark
Journal:  J Neural Transm (Vienna)       Date:  1996       Impact factor: 3.575

Review 6.  Dopamine neurons and their role in reward mechanisms.

Authors:  W Schultz
Journal:  Curr Opin Neurobiol       Date:  1997-04       Impact factor: 6.627

7.  Injection of digitally synthesized synaptic conductance transients to measure the integrative properties of neurons.

Authors:  H P Robinson; N Kawai
Journal:  J Neurosci Methods       Date:  1993-09       Impact factor: 2.390

8.  Electrophysiological and immunocytochemical characterization of GABA and dopamine neurons in the substantia nigra of the rat.

Authors:  C D Richards; T Shiroyama; S T Kitai
Journal:  Neuroscience       Date:  1997-09       Impact factor: 3.590

9.  Effects of dihydropyridine calcium antagonists on rat midbrain dopaminergic neurones.

Authors:  N B Mercuri; A Bonci; P Calabresi; F Stratta; A Stefani; G Bernardi
Journal:  Br J Pharmacol       Date:  1994-11       Impact factor: 8.739

10.  Apamin increases NMDA-induced burst-firing of rat mesencephalic dopamine neurons.

Authors:  V Seutin; S W Johnson; R A North
Journal:  Brain Res       Date:  1993-12-10       Impact factor: 3.252

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  54 in total

1.  Hyperexcitable substantia nigra dopamine neurons in PINK1- and HtrA2/Omi-deficient mice.

Authors:  Matthew W Bishop; Subhojit Chakraborty; Gillian A C Matthews; Antonios Dougalis; Nicholas W Wood; Richard Festenstein; Mark A Ungless
Journal:  J Neurophysiol       Date:  2010-10-06       Impact factor: 2.714

2.  Detecting effective connectivity in networks of coupled neuronal oscillators.

Authors:  Erin R Boykin; Pramod P Khargonekar; Paul R Carney; William O Ogle; Sachin S Talathi
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Review 3.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

4.  Frequency switching in a two-compartmental model of the dopaminergic neuron.

Authors:  Joon Ha; Alexey Kuznetsov
Journal:  J Comput Neurosci       Date:  2010-06-12       Impact factor: 1.621

5.  Rapid dopamine signaling differentially modulates distinct microcircuits within the nucleus accumbens during sucrose-directed behavior.

Authors:  Fabio Cacciapaglia; R Mark Wightman; Regina M Carelli
Journal:  J Neurosci       Date:  2011-09-28       Impact factor: 6.167

6.  High dendritic expression of Ih in the proximity of the axon origin controls the integrative properties of nigral dopamine neurons.

Authors:  Dominique Engel; Vincent Seutin
Journal:  J Physiol       Date:  2015-10-12       Impact factor: 5.182

Review 7.  Dopamine and addiction: what have we learned from 40 years of research.

Authors:  Marcello Solinas; Pauline Belujon; Pierre Olivier Fernagut; Mohamed Jaber; Nathalie Thiriet
Journal:  J Neural Transm (Vienna)       Date:  2018-12-19       Impact factor: 3.575

8.  Calcium-activated non-selective cation currents are involved in generation of tonic and bursting activity in dopamine neurons of the substantia nigra pars compacta.

Authors:  Ana Mrejeru; Aguan Wei; Jan Marino Ramirez
Journal:  J Physiol       Date:  2011-03-21       Impact factor: 5.182

9.  Using computer simulations to determine the limitations of dynamic clamp stimuli applied at the soma in mimicking distributed conductance sources.

Authors:  Risa J Lin; Dieter Jaeger
Journal:  J Neurophysiol       Date:  2011-02-16       Impact factor: 2.714

Review 10.  The role of calcium and mitochondrial oxidant stress in the loss of substantia nigra pars compacta dopaminergic neurons in Parkinson's disease.

Authors:  D J Surmeier; J N Guzman; J Sanchez-Padilla; P T Schumacker
Journal:  Neuroscience       Date:  2011-08-25       Impact factor: 3.590

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