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Modeling the effects of neuronal morphology on dendritic chloride diffusion and GABAergic inhibition

BMC Neuroscience201415 (Suppl 1) :P138

https://doi.org/10.1186/1471-2202-15-S1-P138

  • Published:

Keywords

  • Spine Density
  • Neuronal Membrane
  • Inhibitory Neurotransmission
  • Dendritic Morphology
  • Neuronal Morphology

Gamma-aminobutyric acid receptors (GABAARs) are ligand-gated chloride (Cl) channels which mediate the majority of inhibitory neurotransmission in the CNS. Spatiotemporal changes of intracellular Cl concentration alter the concentration gradient for Cl across the neuronal membrane and thus affect the current flow through GABAARs and the efficacy of GABAergic inhibition. However, the impact of complex neuronal morphology on Cl diffusion and the redistribution of intracellular Cl is not well understood. Recently, computational models for Cl diffusion and GABAAR-mediated inhibition in realistic neuronal morphologies became available [13]. Here we have used computational models of morphologically complex dendrites to test the effects of spines on Cl diffusion. In all dendritic morphologies tested, spines slowed down longitudinal Cl diffusion along dendrites and decreased the amount and spatial spread of synaptically evoked Cl changes. Spine densities of 2-10 spines/µm decreased the longitudinal diffusion coefficient of Cl to 80-30% of its value in smooth dendrites, respectively. These results suggest that spines are able to limit short-term ionic plasticity [4] at dendritic GABAergic synapses.

Declarations

Acknowledgements

Supported by the NSF/BMBF (US-German Collaboration in Computational Neuroscience, No. 01GQ1203A).

Authors’ Affiliations

(1)
Institute of Clinical Neuroanatomy, Neuroscience Center, Goethe-University, Frankfurt, Germany
(2)
Biology Department and Neurosciences Institute, The University of Texas at San Antonio, San Antonio, USA

References

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Copyright

© Mohapatra et al; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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