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Spatial reconfiguration of charge transfer effectiveness in active bistable dendritic arborizations

Authors :
P. Gogan
Suzanne Tyč-Dumont
I. B. Kulagina
Sergey M. Korogod
V. I. Kukushka
Source :
European Journal of Neuroscience. 16:2260-2270
Publication Year :
2002
Publisher :
Wiley, 2002.

Abstract

The aim of this work was to explore the electrical spatial profile of the dendritic arborization during membrane potential oscillations of a bistable motoneuron. Computational simulations provided the spatial counterparts of the temporal dynamics of bistability and allowed simultaneous depiction the electrical states of any sites in the arborization. We assumed that the dendritic membrane had homogeneously distributed specific electrical properties and was equipped with a cocktail of passive extrasynaptic and NMDA synaptic conductances. The electrical conditions for evoking bistability in a single isopotential compartment and in a whole dendritic arborization were computed and showed differences, revealing a crucial effect of dendritic geometry. Snapshots of the whole arborization during bistability revealed the spatial distribution of the density of the transmembrane current generated at the synapses and the effectiveness of the current transfer from any dendritic site to the soma. These functional maps changed dynamically according to the phase of the oscillatory cycle. In the low depolarization state, the current density was low in the proximal dendrites and higher in the distal parts of the arborization while the transfer effectiveness varied in a narrow range with small differences between proximal and distal dendritic segments. When the neuron switched to high depolarization state, the current density was high in the proximal dendrites and low in the distal branches while a large domain of the dendritic field became electrically disconnected beyond 200 micro m from the soma with a null transfer efficiency. These spatial reconfigurations affected dynamically the size and shape of the functional dendritic field and were strongly geometry-dependent.

Details

ISSN :
0953816X
Volume :
16
Database :
OpenAIRE
Journal :
European Journal of Neuroscience
Accession number :
edsair.doi...........0dce01fd1c1689663d793a0f633e0391
Full Text :
https://doi.org/10.1046/j.1460-9568.2002.02312.x