Houweling S, Daffertshofer A, van Dijk B W, Beek P J
Research Institute MOVE, Faculty of Human Movement Sciences, VU University Amsterdam, van der Boechorststraat 9, 1081 BT Amsterdam, The Netherlands.
Neuroimage. 2008 Jul 15;41(4):1395-407. doi: 10.1016/j.neuroimage.2008.03.023. Epub 2008 Mar 26.
We studied the neural changes accompanying the learning of a perceptual-motor task involving polyrhythmic bimanual force production. Motor learning was characterized by an increase in stability of performance. To assess after-effects in the corresponding neural network, magnetoencophalographic and electromyographic signals were recorded and analyzed in terms of (event-related) amplitude changes and synchronization patterns. The topology of the network was first identified using a beamformer analysis, which revealed differential effects of activation in cortical areas and cerebellar hemispheres. We found event-related (de-)synchronization of beta-activity in bilateral cortical motor areas and alpha-modulations in the cerebellum. The alpha-modulation increased after learning and, simultaneously, the bilateral M1 coupling increased around the movement frequency reflecting improved motor timing. Furthermore, the inter-hemispheric gamma-synchronization between primary motor areas decreased, which may reflect a reduced attentional demand after learning.
我们研究了在学习一项涉及多节奏双手力量产生的感知运动任务过程中伴随的神经变化。运动学习的特征是表现稳定性的提高。为了评估相应神经网络中的后效应，记录并分析了脑磁图和肌电图信号的（事件相关）幅度变化和同步模式。首先使用波束形成器分析确定网络的拓扑结构，该分析揭示了皮质区域和小脑半球激活的不同效应。我们发现双侧皮质运动区域中β活动的事件相关（去）同步以及小脑中的α调制。学习后α调制增加，同时，双侧M1在运动频率周围的耦合增加，反映出运动时间的改善。此外，初级运动区域之间的半球间γ同步减少，这可能反映了学习后注意力需求的降低。
