机器人介导的力场中的电机适应和内部模型形成
Myriam Taga1, Annacarmen Curci1, Sara Pizzamigglio2
1School of Health, Sports and Bioscience, University of East London, London, UK.
Psychoradiology
|April 26, 2024
概括
皮层刺激性,通过跨磁刺激 (TMS) 唤起的潜能来测量,预测运动学习和适应. 在适应过程中,感觉运动皮质的神经可塑性变化发生.
科学领域:
- 神经科学是一个神经科学.
- 发动机控制器的控制器
- 认知科学 认知科学
背景情况:
- 动力适应对于动态环境中的精确运动至关重要.
- 运动学习中的个体差异仍然不太清楚.
- 经磁刺激 (TMS) 唤起的潜能 (TEP) 是皮层刺激性的直接测量.
研究的目的:
- 评估皮层刺激性作为运动学习和适应的预测因素.
- 为了研究在运动适应的个体差异背后的神经生理机制.
- 探索TEP在机器人辅助运动康复中的作用.
主要方法:
- 15名健康参与者进行了机器人介导的力场任务,有或没有适应.
- 在TMS和脑电图 (EEG) 中,在基线和适应后记录了皮质刺激能力 (TEP).
- 使用运动学习指数和与错误相关的负面性 (ERN) 来量化运动学习.
主要成果:
- 更大的ERN与改善的电机性能和减少的轨迹误差相关.
- 基线TEP N100振幅预测了运动学习 (P=0.005).
- 在适应后,TEP N100的振幅显著减弱 (P=0.0018),表明皮层刺激性增加.
结论:
- ERN反映了力量场适应的内部模型的形成.
- TEP N100衰减意味着感觉运动皮质的神经质变化.
- TEP N100作为机器人介导治疗结果和精神运动异常的潜在生物标志物.
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