Literature DB >> 14702332

A model of reverse spike frequency adaptation and repetitive firing of subthalamic nucleus neurons.

Charles J Wilson1, Angela Weyrick, David Terman, Nicholas E Hallworth, Mark D Bevan.   

Abstract

Subthalamic nucleus neurons exhibit reverse spike-frequency adaptation. This occurs only at firing rates of 20-50 spikes/s and higher. Over this same frequency range, there is an increase in the steady-state frequency-intensity (F-I) curve's slope (the secondary range). Specific blockade of high-voltage activated calcium currents reduced the F-I curve slope and reverse adaptation. Blockade of calcium-dependent potassium current enhanced secondary range firing. A simple model that exhibited these properties used spike-triggered conductances similar to those in subthalamic neurons. It showed: 1) Nonaccumulating spike afterhyperpolarizations produce positively accelerating F-I curves and spike-frequency adaptation that is complete after the second spike. 2) Combinations of accumulating aftercurrents result in a linear F-I curve, whose slope depends on the relative contributions of inward and outward currents. Spike-frequency adaptation can be gradual. 3) With both accumulating and nonaccumulating aftercurrents, primary and secondary ranges will be present in the F-I curve. The slope of the primary range is determined by the nonaccumulating conductance; the accumulating conductances govern the secondary range. The transition is determined by the relative strengths of accumulating and nonaccumulating currents. 4) Spike-threshold accommodation contributes to the secondary range, reducing its slope at high firing rates. Threshold accommodation can stabilize firing when inward aftercurrents exceed outward ones. 5) Steady-state reverse adaptation results when accumulated inward aftercurrents exceed outward ones. This requires spike-threshold accommodation. Transient speedup arises when inward currents are smaller than outward ones at steady state, but accumulate more rapidly. 6) The same mechanisms alter firing in response to irregular patterns of synaptic conductances, as cell excitability fluctuates with changes in firing rate.

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Year:  2003        PMID: 14702332     DOI: 10.1152/jn.00924.2003

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


  27 in total

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2.  Phase relationships support a role for coordinated activity in the indirect pathway in organizing slow oscillations in basal ganglia output after loss of dopamine.

Authors:  J R Walters; D Hu; C A Itoga; L C Parr-Brownlie; D A Bergstrom
Journal:  Neuroscience       Date:  2006-11-15       Impact factor: 3.590

3.  Silent plateau potentials, rhythmic bursts, and pacemaker firing: three patterns of activity that coexist in quadristable subthalamic neurons.

Authors:  Jason I Kass; Isabelle M Mintz
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-22       Impact factor: 11.205

4.  Accumulation of cytoplasmic calcium, but not apamin-sensitive afterhyperpolarization current, during high frequency firing in rat subthalamic nucleus cells.

Authors:  Mark Teagarden; Jeremy F Atherton; Mark D Bevan; Charles J Wilson
Journal:  J Physiol       Date:  2007-12-06       Impact factor: 5.182

5.  Slow spike frequency adaptation in neurons of the rat subthalamic nucleus.

Authors:  David Barraza; Hitoshi Kita; Charles J Wilson
Journal:  J Neurophysiol       Date:  2009-10-21       Impact factor: 2.714

6.  The ionic mechanism of gamma resonance in rat striatal fast-spiking neurons.

Authors:  Giuseppe Sciamanna; Charles J Wilson
Journal:  J Neurophysiol       Date:  2011-08-31       Impact factor: 2.714

7.  Intrinsic dynamics and synaptic inputs control the activity patterns of subthalamic nucleus neurons in health and in Parkinson's disease.

Authors:  C J Wilson; M D Bevan
Journal:  Neuroscience       Date:  2011-06-22       Impact factor: 3.590

8.  In vivo cholinergic modulation of the cellular properties of medial entorhinal cortex neurons.

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Review 9.  Neurocomputational models of basal ganglia function in learning, memory and choice.

Authors:  Michael X Cohen; Michael J Frank
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10.  Mechanisms explaining transitions between tonic and phasic firing in neuronal populations as predicted by a low dimensional firing rate model.

Authors:  Anca R Radulescu
Journal:  PLoS One       Date:  2010-09-22       Impact factor: 3.240

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