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Generating mechanism of pathological beta oscillations in STN-GPe circuit model: A bifurcation study 被引量:1

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摘要 Parkinson’s disease(PD)is characterized by pathological spontaneous beta oscillations(13 Hz-35 Hz)often observed in basal ganglia(BG)composed of subthalamic nucleus(STN)and globus pallidus(GPe)populations.From the viewpoint of dynamics,the spontaneous oscillations are related to limit cycle oscillations in a nonlinear system;here we employ the bifurcation analysis method to elucidate the generating mechanism of the pathological spontaneous beta oscillations underlined by coupling strengths and intrinsic properties of the STN-GPe circuit model.The results reveal that the increase of inter-coupling strength between STN and GPe populations induces the beta oscillations to be generated spontaneously,and causes the oscillation frequency to decrease.However,the increase of intra-coupling(self-feedback)strength of GPe can prevent the model from generating the oscillations,and dramatically increase the oscillation frequency.We further provide a theoretical explanation for the role played by the inter-coupling strength of GPe population in the generation and regulation of the oscillations.Furthermore,our study reveals that the intra-coupling strength of the GPe population provides a switching mechanism on the generation of the abnormal beta oscillations:for small value of the intra-coupling strength,STN population plays a dominant role in inducing the beta oscillations;while for its large value,the GPe population mainly determines the generation of this oscillation.
作者 王静静 姚洋 高志伟 李小俚 王俊松 Jing-Jing Wang;Yang Yao;Zhi-Wei Gao;Xiao-Li Li;Jun-Song Wang(School of Biomedical Engineering,Tianjin Medical University,Tianjin 300070,China;Faculty of Engineering and Environment,Northumbria University,NE18ST,UK;National Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University,Beijing 100875,China)
出处 《Chinese Physics B》 SCIE EI CAS CSCD 2020年第5期567-578,共12页 中国物理B(英文版)
基金 Project supported by the National Natural Science Foundation of China(Grant Nos.61473208 and 61876132) the Tianjin Research Program of Application Foundation and Advanced Technology,China(Grant No.15JCYBJC47700).
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