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

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

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  • 国家科技期刊平台
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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.

nerve regenerationneurodegenerationessential tremorpropriospinal neuronsmotoneuronreflexmodelingmotor controloscillationneurological disordermovement disordercomputational neuroscienceneural regeneration

Hong-en Qu、Chuanxin M. Niu、Si Li、Man-zhao Hao、Zi-xiang Hu、Qing Xie、Ning Lan

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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

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

This work was supported in part by the National Natural Science Foundation of ChinaThis work was supported in part by the National Natural Science Foundation of ChinaThis work was supported in part by the National Natural Science Foundation of ChinaMajor State Basic Research Development of China (973 Program)Medicine-Engineering Interdisciplinary Research Grant from Shanghai Jiao Tong University in ChinaYouth Eastern Scholar Program at Shanghai In-stitutions of Higher Learning in China

6136116041581271684815015702011CB013304YG2014ZD09QD2015007

2017

10.4103/1673-5374.221161

中国神经再生研究(英文版)
中国康复医学会

中国神经再生研究(英文版)

CSTPCDCSCDSCI
影响因子：0.902
ISSN：1673-5374
年,卷(期)：2017.12(12)
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