| Literature DB >> 28290133 |
Yao Han1, Hong Li1, Yiran Lang1, Yuwei Zhao1, Hongji Sun1, Peng Zhang2, Xuan Ma2, Jiuqi Han1, Qiyu Wang1, Jin Zhou3, Changyong Wang4.
Abstract
γ-Aminobutyric acid (GABA) is an inhibitory transmitter, acting on receptor channels to reduce neuronal excitability in matured neural systems. However, electrophysiological responses of whole neuronal ensembles to the exposure to GABA are still unclear. We used micro-electrode arrays (MEAs) to study the effects of the increasing amount of GABA on functional network of cortical neural cultures. Then the recorded data were analyzed by the cross-covariance analysis and graph theory. Results showed that after the GABA treatment, the activity parameters of firing rate, bursting rate, bursting duration and network burst frequency in neural cultures decreased as expected. In addition, the functional connectivity also decreased in similarity, network density, and the size of the largest component. However, small-worldness was not found to be influenced by the acute GABA treatment. Our results support the position that using graph theory to evaluate the functional connectivity of neural cultures may enhance understanding of the pharmacological impact of neurotransmitters on neuronal networks.Entities:
Keywords: Connectivity; Graph theory; Microelectrode arrays; Neural culture
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Year: 2017 PMID: 28290133 DOI: 10.1007/s11064-017-2190-3
Source DB: PubMed Journal: Neurochem Res ISSN: 0364-3190 Impact factor: 3.996