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Neural computational modeling reveals a major role of corticospinal gating of central oscillations in the generation of essential tremor

机译:神经计算模型揭示了皮质震颤门控中心振荡在原发性震颤的产生中的主要作用

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摘要

Essential tremor, also referred to as familial tremor, is an autosomal dominant genetic disease and the most common movement disorder. It typically involves a postural and motor tremor of the hands, head or other part of the body. Essential tremor is driven by a central oscil-lation signal in the brain. However, the corticospinal mechanisms involved in the generation of essential tremor are unclear. Therefore, in this study, we used a neural computational model that includes both monosynaptic and multisynaptic corticospinal pathways interacting with a propriospinal neuronal network. A virtual arm model is driven by the central oscillation signal to simulate tremor activity behavior. Cortical descending commands are classified as alpha or gamma through monosynaptic or multisynaptic corticospinal pathways, which converge respectively on alpha or gamma motoneurons in the spinal cord. Several scenarios are evaluated based on the central oscillation signal passing down to the spinal motoneurons via each descending pathway. The simulated behaviors are compared with clinical essential tremor characteristics to identify the corticospinal pathways responsible for transmitting the central oscillation signal. A propriospinal neuron with strong cortical inhibition performs a gating function in the generation of essential tremor. Our results indicate that the pro-priospinal neuronal network is essential for relaying the central oscillation signal and the production of essential tremor.
机译:基本震颤,也称为家族震颤,是常染色体显性遗传疾病和最常见的运动障碍。它通常涉及手的姿势和运动震颤,头部或身体的其他部分。基本震颤由大脑中的中央探测器信号驱动。然而,涉及生成基本震颤的皮质体机制尚不清楚。因此,在本研究中,我们使用了一种神经计算模型,其包括与ProprioStophinal Neural Network相互作用的单腹和多颞性皮质枢头途径。虚拟臂模型由中央振荡信号驱动,以模拟震颤活动行为。皮质下降指令通过单梗塞或多腹皮质脊柱途径分类为α或γ,它们分别在脊髓中的α或伽马运动神经元中收敛。基于通过每个下降通路基于通过向脊柱运动神经元的中央振荡信号进行若干场景。将模拟行为与临床必要的震颤特性进行比较,以识别负责传输中央振荡信号的皮质脊柱途径。具有强烈皮质抑制的ProprioStoSphineuron在必要的震颤产生中执行门控功能。我们的结果表明,Pro-PrioSoStinal网络对于中央振荡信号和基本震颤的生产是必不可少的。

著录项

  • 来源
    《中国神经再生研究(英文版)》 |2017年第12期|2035-2044|共10页
  • 作者单位

    Laboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    Laboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China;

    Laboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    Laboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    Laboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    Department of Rehabilitation Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China;

    Laboratory of Neurorehabilitation Engineering, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China;

    Division of Biokinesiology and Physical Therapy, Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-19 03:44:26
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