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双手运动学习过程中脑电活动的多变量时频分析

Multivariate time-frequency analysis of electromagnetic brain activity during bimanual motor learning.

作者信息

Boonstra Tjeerd W, Daffertshofer Andreas, Breakspear Michael, Beek Peter J

机构信息

Research Institute MOVE, VU University Amsterdam, The Netherlands.

出版信息

Neuroimage. 2007 Jun;36(2):370-7. doi: 10.1016/j.neuroimage.2007.03.012. Epub 2007 Mar 24.

DOI:10.1016/j.neuroimage.2007.03.012
PMID:17462913
Abstract

Although the relationship between brain activity and motor performance is reasonably well established, the manner in which this relationship changes with motor learning remains incompletely understood. This paper presents a study of cortical modulations of event-related beta activity when participants learned to perform a complex bimanual motor task: 151 channel MEG data were acquired from nine healthy adults whilst learning a bimanual 3:5 polyrhythm. Sources of MEG activity were determined by means of synthetic aperture magnetometry that yielded locations and time courses of beta activities. The relationship between changes in performance and corresponding changes in event-related power were assessed using partial least squares. Behavioral data revealed that participants successfully learned to perform the 3:5 polyrhythm and that performance improvement was mainly achieved through the proper timing of the finger producing the slow rhythm. We found event-related modulation of beta power in the contralateral motor cortex that was inversely related to force output. The degree of beta modulation increased during the experiment - although the force level remained constant - and was positively correlated with motor performance, in particular for the motor cortex contralateral to the slow hand. These electrophysiological findings support the view that activity in motor cortex co-varies closely with behavioral changes over the course of learning.

摘要

尽管大脑活动与运动表现之间的关系已得到较好的确立,但这种关系随运动学习的变化方式仍未完全理解。本文呈现了一项关于参与者学习执行复杂双手运动任务时事件相关β活动的皮层调制的研究:在九名健康成年人学习双手3:5节奏韵律时,采集了151通道的脑磁图(MEG)数据。通过合成孔径磁强计确定MEG活动的来源,该方法可得出β活动的位置和时间进程。使用偏最小二乘法评估表现变化与事件相关功率相应变化之间的关系。行为数据表明,参与者成功学会了执行3:5节奏韵律,且表现的提高主要通过产生慢节奏的手指的恰当时间控制来实现。我们发现对侧运动皮层中事件相关的β功率调制与力输出呈负相关。在实验过程中,尽管力的水平保持恒定,但β调制程度增加,且与运动表现呈正相关,特别是对于慢手对侧的运动皮层。这些电生理结果支持了这样一种观点,即在学习过程中,运动皮层的活动与行为变化密切相关。

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