《中国康复理论与实践》 ›› 2020, Vol. 26 ›› Issue (5): 568-571.doi: 10.3969/j.issn.1006-9771.2020.05.015

• 综述 • 上一篇    下一篇

预期性姿势调节的神经调控网络研究进展

陈意1,谢运娟1,高强1,2()   

  1. 1.四川大学华西临床医学院,四川成都市 610041
    2.四川大学华西医院康复医学中心,四川成都市 610041
  • 收稿日期:2019-07-15 修回日期:2019-08-05 出版日期:2020-05-25 发布日期:2020-05-29
  • 通讯作者: 高强 E-mail:gaoqiang_hxkf@163.com
  • 作者简介:陈意(1996-),女,汉族,重庆市人,硕士研究生,主要研究方向:神经康复。
  • 基金资助:
    四川省科技厅重点研发项目(2018FZ0103)

Advance in Neural Regulation Networks of Anticipatory Postural Adjustments (review)

CHEN Yi1,XIE Yun-juan1,GAO Qiang1,2()   

  1. 1. West China School of Medcine, Sichuan University, Chengdu, Sichuan 610041, China
    2. Rehabilitation Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
  • Received:2019-07-15 Revised:2019-08-05 Published:2020-05-25 Online:2020-05-29
  • Contact: GAO Qiang E-mail:gaoqiang_hxkf@163.com
  • Supported by:
    Sichuan Science and Technology Department Key Research and Development Project(2018FZ0103)

摘要:

预期性姿势调节(APAs)的产生和执行依赖于复杂的分布式神经网络系统,涉及大脑皮质(包括前运动皮质、初级运动区)、丘脑、基底节和小脑等多个结构,包括分层模式和平行模式两种神经环路模式。基底节与前运动皮质参与APAs相关的运动计划编码;辅助运动区与脑干的脚桥核共同调节APAs时序;初级运动区在APAs启动过程中投射皮质运动纤维至目标运动支配区;脑桥延髓网状结构进行纤维整合,并通过网状神经元投射到脊髓调节目标肌群;小脑与肌肉群的协调耦合相关。

关键词: 预期性姿势调节, 神经网络, 运动控制, 脑区, 综述

Abstract:

The generation and execution of anticipatory postural adjustments (APAs) depend on the complex distributed neural networks, involving cerebral cortex (including premotor cortex and primary motor area), thalamus, basal ganglia, cerebellum, and divided into stratified mode and parallel mode. The basal ganglia and premotor cortex contribute to code the motor planning of APAs. Supplementary motor area and pedunculopontine nucleus in the brainstem co-regulate the timing of APAs. Primary motor area projects cortical motor fibers to target area during the initiation of APAs. The pontomedullary reticular formation integrates and projects fibers to the spinal cord. The cerebellum is mainly related to the coordinated coupling of muscles during APAs.

Key words: anticipatory postural adjustments, neural networks, motor control, brain area, review

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