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在 250 毫秒内对不可预测的力场进行反馈适应。

Feedback Adaptation to Unpredictable Force Fields in 250 ms.

机构信息

Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), University of Louvain, Louvain-la-Neuve, 1348, Belgium

Institute of Neuroscience (IoNS), University of Louvain, Brussels, 1200, Belgium.

出版信息

eNeuro. 2020 Apr 29;7(2). doi: 10.1523/ENEURO.0400-19.2020. Print 2020 Mar/Apr.

DOI:10.1523/ENEURO.0400-19.2020
PMID:32317344
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7196721/
Abstract

Motor learning and adaptation are important functions of the nervous system. Classical studies have characterized how humans adapt to changes in the environment during tasks such as reaching, and have documented improvements in behavior across movements. However, little is known about how quickly the nervous system adapts to such disturbances. In particular, recent work has suggested that adaptation could be sufficiently fast to alter the control strategies of an ongoing movement. To further address the possibility that learning occurred within a single movement, we designed a series of human reaching experiments to extract from muscles recordings the latency of feedback adaptation. Our results confirmed that participants adapted their feedback responses to unanticipated force fields applied randomly. In addition, our analyses revealed that the feedback response was specifically and finely tuned to the ongoing perturbation not only across trials with the same force field, but also across different kinds of force fields. Finally, changes in muscle activity consistent with feedback adaptation occurred in ∼250 ms following reach onset. The adaptation that we observed across trials presented in a random context was similar to the one observed when the force fields could be anticipated, suggesting that these two adaptive processes may be closely linked to each other. In such case, our measurement of 250 ms may correspond to the latency of motor adaptation in the nervous system.

摘要

运动学习和适应是神经系统的重要功能。经典研究已经描述了人类在诸如伸手等任务中如何适应环境变化,并记录了整个运动过程中的行为改善。然而,对于神经系统对这种干扰的适应速度知之甚少。特别是,最近的研究表明,适应过程可能足够快,可以改变正在进行的运动的控制策略。为了进一步探讨学习是否发生在单个运动过程中,我们设计了一系列人类伸手实验,以从肌肉记录中提取反馈适应的潜伏期。我们的结果证实,参与者确实会根据随机施加的意外力场来调整其反馈响应。此外,我们的分析表明,反馈响应不仅在具有相同力场的试验之间,而且在不同类型的力场之间,都可以专门且精细地针对正在进行的扰动进行调整。最后,与反馈适应一致的肌肉活动变化发生在伸手开始后的约 250 毫秒内。我们在随机环境中观察到的跨试验适应与可以预测力场时观察到的适应相似,这表明这两个适应过程可能密切相关。在这种情况下,我们测量的 250 毫秒可能对应于神经系统中运动适应的潜伏期。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b4a/7196721/ef8f646f8e10/SN-ENUJ200096F007.jpg
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A Very Fast Time Scale of Human Motor Adaptation: Within Movement Adjustments of Internal Representations during Reaching.人类运动适应的极快时间尺度:伸手过程中内部表征的动作内调整
eNeuro. 2020 Feb 5;7(1). doi: 10.1523/ENEURO.0149-19.2019. Print 2020 Jan/Feb.
3
Robust Control in Human Reaching Movements: A Model-Free Strategy to Compensate for Unpredictable Disturbances.
Curr Biol. 2024 Mar 11;34(5):1076-1085.e5. doi: 10.1016/j.cub.2024.01.073. Epub 2024 Feb 22.
4
The nervous system tunes sensorimotor gains when reaching in variable mechanical environments.在不同的机械环境中伸手时,神经系统会调整感觉运动增益。
iScience. 2023 Apr 27;26(6):106756. doi: 10.1016/j.isci.2023.106756. eCollection 2023 Jun 16.
5
Different Control Strategies Drive Interlimb Differences in Performance and Adaptation during Reaching Movements in Novel Dynamics.在新动力学中,不同的控制策略会导致手臂之间的表现和适应差异。
eNeuro. 2023 Apr 6;10(4). doi: 10.1523/ENEURO.0275-22.2023. Print 2023 Apr.
6
Separability of Human Motor Memories during reaching adaptation with force cues.人类运动记忆在力反馈提示下适应过程中的可分离性。
PLoS Comput Biol. 2022 Oct 28;18(10):e1009966. doi: 10.1371/journal.pcbi.1009966. eCollection 2022 Oct.
7
Pupil diameter tracked during motor adaptation in humans.瞳孔直径在人类运动适应过程中的变化。
J Neurophysiol. 2022 Nov 1;128(5):1224-1243. doi: 10.1152/jn.00021.2022. Epub 2022 Oct 5.
8
Continuous Tracking of Task Parameters Tunes Reaching Control Online.任务参数的连续跟踪在线调整着手臂控制。
eNeuro. 2022 Jul 22;9(4). doi: 10.1523/ENEURO.0055-22.2022. Print 2022 Jul-Aug.
9
Heksor: the central nervous system substrate of an adaptive behaviour.赫克索:一种适应性行为的中枢神经系统基质。
J Physiol. 2022 Aug;600(15):3423-3452. doi: 10.1113/JP283291. Epub 2022 Jul 19.
10
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Front Hum Neurosci. 2021 Dec 27;15:742608. doi: 10.3389/fnhum.2021.742608. eCollection 2021.
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J Neurosci. 2019 Oct 9;39(41):8135-8148. doi: 10.1523/JNEUROSCI.0770-19.2019. Epub 2019 Sep 5.
4
Visual Feedback Processing of the Limb Involves Two Distinct Phases.肢体的视觉反馈处理涉及两个不同的阶段。
J Neurosci. 2019 Aug 21;39(34):6751-6765. doi: 10.1523/JNEUROSCI.3112-18.2019. Epub 2019 Jul 15.
5
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6
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7
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8
Temporal specificity of the initial adaptive response in motor adaptation.运动适应中初始适应性反应的时间特异性。
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10
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