Volume 9 Supplement 1

Seventeenth Annual Computational Neuroscience Meeting: CNS*2008

Open Access

GABAergic control of backpropagating action potentials in striatal medium spiny neurons

  • Johannes Hjorth1Email author,
  • Misha Zilberter2,
  • Rodrigo F Oliveira3,
  • Kim T Blackwell3 and
  • Jeanette Hellgren Kotaleski1, 2
BMC Neuroscience20089(Suppl 1):P105

DOI: 10.1186/1471-2202-9-S1-P105

Published: 11 July 2008

Introduction

Experiments have demonstrated the ability of action potentials to actively backpropagate in striatal medium spiny (MS) neurons, affecting the calcium levels in the dendrites [13]. Increased calcium levels trigger changes in plasticity [4, 5], which is important for learning and other functions [6]. Studies in the hippocampus have shown that GABAergic input can modulate the backpropagation of action potentials from the soma to the distal dendrites [7]. The MS neurons receive both proximal feedforward GABAergic inhibition from fast spiking interneurons (FS), and distal feedback inhibition from other neighbouring MS neurons. In the present study the effect of these GABAergic inputs on the dendritic calcium dynamics is investigated.

Model

A previously published MS model [8] was reimplemented in GENESIS. The dendritic axial resistance and sodium conductances have been modified to better fit experimental results [13]. For example, in the modified model, backpropagation of dendritic action potentials requires sodium channel activation, and fails if those channels are blocked [1]. The MS neuron was activated by simulated AMPA/NMDA and GABAergic synaptic inputs [8], or by somatic current injections.

Computational investigation

In this study we compare the effect of FS and MS synaptic inhibition on the backpropagation of action potentials in the MS model. Preliminary results suggest that GABAerigic inputs in distal dendrites can decrease the backpropagating action potential, and thus can reduce dendritic calcium levels, even though the cell is still spiking in the soma. These findings might suggest that feedback inhibition can control how prone the neighbouring MS neurons will be to plastic changes.

Authors’ Affiliations

(1)
School of Computer Science and Communication, Royal Institute of Technology, AlbaNova University Centre
(2)
Department of Neuroscience, Karolinska Institute
(3)
School of Computational Sciences and the Krasnow Institute for Advanced Study, George Mason University

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Copyright

© Hjorth et al; licensee BioMed Central Ltd. 2008

This article is published under license to BioMed Central Ltd.

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