Literature DB >> 10805703

Coupled oscillator model of the dopaminergic neuron of the substantia nigra.

C J Wilson1, J C Callaway.   

Abstract

Calcium imaging using fura-2 and whole cell recording revealed the effective location of the oscillator mechanism on dopaminergic neurons of the substantia nigra, pars compacta, in slices from rats aged 15-20 days. As previously reported, dopaminergic neurons fired in a slow rhythmic single spiking pattern. The underlying membrane potential oscillation survived blockade of sodium currents with TTX and was enhanced by blockade of voltage-sensitive potassium currents with TEA. Calcium levels increased during the subthreshold depolarizing phase of the membrane potential oscillation and peaked at the onset of the hyperpolarizing phase as expected if the pacemaker potential were due to a low-threshold calcium current and the hyperpolarizing phase to calcium-dependent potassium current. Calcium oscillations were synchronous in the dendrites and soma and were greater in the dendrites than in the soma. Average calcium levels in the dendrites overshot steady-state levels and decayed over the course of seconds after the oscillation was resumed after having been halted by hyperpolarizing currents. Average calcium levels in the soma increased slowly, taking many cycles to achieve steady state. Voltage clamp with calcium imaging revealed the voltage dependence of the somatic calcium current without the artifacts of incomplete spatial voltage control. This showed that the calcium current had little or no inactivation and was half-maximal at -40 to -30 mV. The time constant of calcium removal was measured by the return of calcium to resting levels and depended on diameter. The calcium sensitivity of the calcium-dependent potassium current was estimated by plotting the slow tail current against calcium concentration during the decay of calcium to resting levels at -60 mV. A single compartment model of the dopaminergic neuron consisting of a noninactivating low-threshold calcium current, a calcium-dependent potassium current, and a small leak current reproduced most features of the membrane potential oscillations. The same currents much more accurately reproduced the calcium transients when distributed uniformly along a tapering cable in a multicompartment model. This model represented the dopaminergic neuron as a set of electrically coupled oscillators with different natural frequencies. Each frequency was determined by the surface area to volume ratio of the compartment. This model could account for additional features of the dopaminergic neurons seen in slices, such as slow adaptation of oscillation frequency and may produce irregular firing under different coupling conditions.

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Year:  2000        PMID: 10805703     DOI: 10.1152/jn.2000.83.5.3084

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  113 in total

1.  Dendritic synchrony and transient dynamics in a coupled oscillator model of the dopaminergic neuron.

Authors:  G S Medvedev; C J Wilson; J C Callaway; N Kopell
Journal:  J Comput Neurosci       Date:  2003 Jul-Aug       Impact factor: 1.621

2.  AHP's, HAP's and DAP's: how potassium currents regulate the excitability of rat supraoptic neurones.

Authors:  Peter Roper; Joseph Callaway; Talent Shevchenko; Ryoichi Teruyama; William Armstrong
Journal:  J Comput Neurosci       Date:  2003 Nov-Dec       Impact factor: 1.621

Review 3.  Ca(v)1.3 and BK channels for timing and regulating cell firing.

Authors:  David Henry Vandael; Andrea Marcantoni; Satyajit Mahapatra; Anton Caro; Peter Ruth; Annalisa Zuccotti; Marlies Knipper; Emilio Carbone
Journal:  Mol Neurobiol       Date:  2010-11-20       Impact factor: 5.590

Review 4.  Intrinsic and integrative properties of substantia nigra pars reticulata neurons.

Authors:  F-M Zhou; C R Lee
Journal:  Neuroscience       Date:  2011-08-02       Impact factor: 3.590

5.  Pacemaking in dopaminergic ventral tegmental area neurons: depolarizing drive from background and voltage-dependent sodium conductances.

Authors:  Zayd M Khaliq; Bruce P Bean
Journal:  J Neurosci       Date:  2010-05-26       Impact factor: 6.167

6.  Computational model of electrically coupled, intrinsically distinct pacemaker neurons.

Authors:  Cristina Soto-Treviño; Pascale Rabbah; Eve Marder; Farzan Nadim
Journal:  J Neurophysiol       Date:  2005-02-23       Impact factor: 2.714

7.  Cellular mechanisms underlying burst firing in substantia nigra dopamine neurons.

Authors:  Sarah N Blythe; David Wokosin; Jeremy F Atherton; Mark D Bevan
Journal:  J Neurosci       Date:  2009-12-09       Impact factor: 6.167

8.  Cav1.3 channel voltage dependence, not Ca2+ selectivity, drives pacemaker activity and amplifies bursts in nigral dopamine neurons.

Authors:  Ilva Putzier; Paul H M Kullmann; John P Horn; Edwin S Levitan
Journal:  J Neurosci       Date:  2009-12-09       Impact factor: 6.167

Review 9.  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

10.  An intrinsic neuronal oscillator underlies dopaminergic neuron bursting.

Authors:  Christopher A Deister; Mark A Teagarden; Charles J Wilson; Carlos A Paladini
Journal:  J Neurosci       Date:  2009-12-16       Impact factor: 6.167

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