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Effect of gap junctions on the firing patterns and synchrony for different external inputs in the striatal fast-spiking neuron network

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Zhang, Mingming | Zhao, Zongya | He, Ping | Wang, Jue;

Affiliations: The Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University; National Engineering Research Center of Health Care and Medical Devices, Xi'an Jiaotong University Branch, Xi'an 710049, P.R. China | Department of Biomedical, Industrial and Human Factors Engineering, Wright State University, Dayton, Ohio, USA

Note: [] Corresponding author: Jue Wang, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, P.R. China. Tel.: +86 15332479788; Fax: +86 029 82663497; E-mail: juewang@mail.xjtu.edu.cn.

Keywords: Network, fast-spiking interneurons, synchronization, firing rate, small-world

DOI: 10.3233/BME-141080

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 2635-2644, 2014

Published: 2014
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Abstract

Gap junctions are the mechanism for striatal fast-spiking interneurons (FSIs) to interconnect with each other and play an important role in determining the physiological functioning of the FSIs. To investigate the effect of gap junctions on the firing activities and synchronization of the network for different external inputs, a simple network with least connections and a Newman-Watts small-world network were constructed. Our research shows that both properties of neural networks are related to the conductance of the gap junctions, as well as the frequency and correlation of the external inputs. The effect of gap junctions on the synchronization of network is different for inputs with different frequencies and correlations. The addition of gap junctions can promote the network synchrony in some conditions but suppress it in others, and they can inhibit the firing activities in most cases. Both the firing rate and synchronization of the network increase along with the increase of the electrical coupling strength for inputs with low frequency and high correlation. Thus, the network of coupled FSIs can act as a detector for synchronous synaptic input from cortex and thalamus.

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