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本文引用的文献

1
Explicit knowledge enhances motor vigor and performance: motivation versus practice in sequence tasks.显性知识增强运动活力和表现:序列任务中的动机与练习
J Neurophysiol. 2015 Jul;114(1):219-32. doi: 10.1152/jn.00218.2015. Epub 2015 Apr 22.
2
Motor skill learning between selection and execution.选择与执行之间的运动技能学习。
Trends Cogn Sci. 2015 Apr;19(4):227-33. doi: 10.1016/j.tics.2015.02.003. Epub 2015 Mar 5.
3
Mirror reversal and visual rotation are learned and consolidated via separate mechanisms: recalibrating or learning de novo?镜像反转和视觉旋转是通过不同机制习得并巩固的:是重新校准还是从头学习?
J Neurosci. 2014 Oct 8;34(41):13768-79. doi: 10.1523/JNEUROSCI.5306-13.2014.
4
Human premotor areas parse sequences into their spatial and temporal features.人类运动前区将序列解析为其空间和时间特征。
Elife. 2014 Aug 12;3:e03043. doi: 10.7554/eLife.03043.
5
Effector-independent motor sequence representations exist in extrinsic and intrinsic reference frames.效应器独立的运动序列在外部和内部参考系中存在。
J Neurosci. 2014 Apr 2;34(14):5054-64. doi: 10.1523/JNEUROSCI.5363-13.2014.
6
Bihemispheric transcranial direct current stimulation enhances effector-independent representations of motor synergy and sequence learning.双侧经颅直流电刺激增强运动协同和序列学习的效应器独立表现。
J Neurosci. 2014 Jan 15;34(3):1037-50. doi: 10.1523/JNEUROSCI.2282-13.2014.
7
Motor skill depends on knowledge of facts.运动技能取决于事实知识。
Front Hum Neurosci. 2013 Aug 29;7:503. doi: 10.3389/fnhum.2013.00503. eCollection 2013.
8
Skill learning strengthens cortical representations of motor sequences.技能学习增强了运动序列的皮质表征。
Elife. 2013 Jul 9;2:e00801. doi: 10.7554/eLife.00801.
9
Control of automated behavior: insights from the discrete sequence production task.自动化行为控制:离散序列产生任务的启示。
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10
Explicit pre-training instruction does not improve implicit perceptual-motor sequence learning.明确的预训练指导并不提高内隐感知运动序列学习。
Cognition. 2013 Mar;126(3):341-51. doi: 10.1016/j.cognition.2012.11.006. Epub 2012 Dec 29.

单手和双手手指序列之间学习的受限转移。

Restricted transfer of learning between unimanual and bimanual finger sequences.

作者信息

Yokoi Atsushi, Bai Wenjun, Diedrichsen Jörn

机构信息

Institute of Cognitive Neuroscience, University College London, London, United Kingdom; and

The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada.

出版信息

J Neurophysiol. 2017 Mar 1;117(3):1043-1051. doi: 10.1152/jn.00387.2016. Epub 2016 Dec 14.

DOI:10.1152/jn.00387.2016
PMID:27974447
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5338615/
Abstract

When training bimanual skills, such as playing piano, people sometimes practice each hand separately and at a later stage combine the movements of the two hands. This poses the critical question of whether motor skills can be acquired by separately practicing each subcomponent or should be trained as a whole. In the present study, we addressed this question by training human subjects for 4 days in a unimanual or bimanual version of the discrete sequence production task. Both groups were then tested on trained and untrained sequences on both unimanual and bimanual versions of the task. Surprisingly, we found no evidence of transfer from trained unimanual to bimanual or from trained bimanual to unimanual sequences. In half the participants, we also investigated whether cuing the sequences on the left and right hand with unique letters would change transfer. With these cues, untrained sequences that shared some components with the trained sequences were performed more quickly than sequences that did not. However, the amount of this transfer was limited to ∼10% of the overall sequence-specific learning gains. These results suggest that unimanual and bimanual sequences are learned in separate representations. Making participants aware of the interrelationship between sequences can induce some transferrable component, although the main component of the skill remains unique to unimanual or bimanual execution. Studies in reaching movement demonstrated that approximately half of motor learning can transfer across unimanual and bimanual contexts, suggesting that neural representations for unimanual and bimanual movements are fairly overlapping at the level of elementary movement. In this study, we show that little or no transfer occurred across unimanual and bimanual sequential finger movements. This result suggests that bimanual sequences are represented at a level of the motor hierarchy that integrates movements of both hands.

摘要

在训练双手技能(如弹钢琴)时,人们有时会先分别练习每只手,然后在后期将两只手的动作结合起来。这就引发了一个关键问题:运动技能是可以通过分别练习每个子组件来习得,还是应该作为一个整体进行训练。在本研究中,我们通过让人类受试者在离散序列生成任务的单手或双手版本中进行4天的训练来解决这个问题。然后,两组受试者都在任务的单手和双手版本中对训练过和未训练过的序列进行测试。令人惊讶的是,我们没有发现从训练过的单手序列转移到双手序列或从训练过的双手序列转移到单手序列的证据。在一半的参与者中,我们还研究了用独特字母提示左手和右手的序列是否会改变转移情况。有了这些提示,与训练过的序列有一些共同组件的未训练序列比没有共同组件的序列执行得更快。然而,这种转移的量仅限于总体序列特定学习收益的约10%。这些结果表明,单手和双手序列是在单独的表征中学习的。让参与者意识到序列之间的相互关系可以诱导一些可转移的组件,尽管技能的主要组件对于单手或双手执行仍然是独特的。关于伸手动作的研究表明,大约一半的运动学习可以在单手和双手情境之间转移,这表明单手和双手动作的神经表征在基本动作水平上相当重叠。在本研究中,我们表明在单手和双手连续手指动作之间几乎没有或没有发生转移。这一结果表明,双手序列是在整合双手动作的运动层次水平上表征的。