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两个耦合的 Jansen-Rit 神经质量模型的分岔分析。

Bifurcation analysis of two coupled Jansen-Rit neural mass models.

机构信息

Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia.

Department of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia.

出版信息

PLoS One. 2018 Mar 27;13(3):e0192842. doi: 10.1371/journal.pone.0192842. eCollection 2018.

Abstract

We investigate how changes in network structure can lead to pathological oscillations similar to those observed in epileptic brain. Specifically, we conduct a bifurcation analysis of a network of two Jansen-Rit neural mass models, representing two cortical regions, to investigate different aspects of its behavior with respect to changes in the input and interconnection gains. The bifurcation diagrams, along with simulated EEG time series, exhibit diverse behaviors when varying the input, coupling strength, and network structure. We show that this simple network of neural mass models can generate various oscillatory activities, including delta wave activity, which has not been previously reported through analysis of a single Jansen-Rit neural mass model. Our analysis shows that spike-wave discharges can occur in a cortical region as a result of input changes in the other region, which may have important implications for epilepsy treatment. The bifurcation analysis is related to clinical data in two case studies.

摘要

我们研究了网络结构的变化如何导致类似癫痫脑观察到的病理性振荡。具体来说,我们对代表两个皮质区域的两个 Jansen-Rit 神经质量模型网络进行了分岔分析,以研究其在输入和互连增益变化时的不同行为方面。分岔图以及模拟的 EEG 时间序列在改变输入、耦合强度和网络结构时表现出不同的行为。我们表明,这个简单的神经质量模型网络可以产生各种振荡活动,包括以前通过分析单个 Jansen-Rit 神经质量模型未报告的 delta 波活动。我们的分析表明,皮质区域的棘波放电可能是由于另一个区域的输入变化引起的,这对于癫痫治疗可能具有重要意义。分岔分析与两个案例研究中的临床数据有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2be3/5870965/1d1489fb69cb/pone.0192842.g001.jpg

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