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BMC Neuroscience

Open Access

Correlation between spike statistics and T-type calcium channel activation in simulated subthalamic nucleus neurons

BMC Neuroscience201415(Suppl 1):P125

https://doi.org/10.1186/1471-2202-15-S1-P125

Published: 21 July 2014

Firing patterns of subthalamic nucleus (STN) neurons are closely related to behavioral functions such as motor controls. In the patients of the Parkinson disease, which is a representative of basal ganglia disorders, STN neurons show a distinctive firing pattern, rebound bursts. To understand the relation between the STN firing patterns and their functional roles, it is useful to characterize the firing patterns, especially the burst firings. Although several methods have been proposed so far, an objective definition of burst firings is still unclear. On the other hand, the mechanism for the rebound bursts is attributed to the low-voltage-activated calcium channels, also known as T-type calcium channels [1]. The channels are activated by strong inhibitory synaptic inputs from globus pallidal neurons that have reciprocal connections with STN. If we could observed directly T-type calcium currents, the observation could be a criterion to determine whether the firing activity is a burst firing or not.

Here we investigated to what degree spike statistics correlate with an activation level of the T-type calcium currents by simulating an STN neuron model [2]. We employed the following spike statistics of interspike intervals (ISIs) of STN neural activities: (i) coefficient of variation (Cv), (ii) time-local variation (Lv) [3], (iii) chi-squared test statistic between a spike count histogram and a Poisson distribution [4], and (iv)-(vi) Kolmogorov-Smirnov (K-S) statistics in K-S test between an observed and hypothesized ISI distributions (Gaussian, exponential, and gamma distributions).

By comparing multiple correlation coefficients between these statistics and temporally-averaged conductances of the T-type calcium channels under different conditions including burst-preferred parameter sets, we found that the K-S statistic between the observed ISI distribution and the hypothesized exponential one (v) showed the highest correlation with the averaged T-type calcium currents among them under any condition. This would provide a more objective criterion, which is linked to the generation mechanism, to define rebound bursts observed in pathological STN.

Declarations

Acknowledgements

This work was supported by JSPS KAKENHI Grant Number 24500372.

Authors’ Affiliations

(1)
Department of Human and Computer Intelligence, Ritsumeikan University

References

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Copyright

© Kitano; 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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