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Abstract：
Implicit visuomotor sequence learning is crucial for acquiring skills that result in automated behaviors. The oscillatory dynamics underpinning this learning process are not well understood. To address this gap, the current study employed electroencephalography with a medium-density array (64 electrodes) to investigate oscillatory activity associated with implicit visuomotor sequence learning in the Serial Reaction Time task. In the task, participants unknowingly learn a series of finger movements. Eighty-five healthy adults participated in the study. Analyses revealed that theta activity at the vertex and alpha/beta activity over the motor areas decreased over the course of learning. No associations between alpha/beta and theta power were observed. These findings are interpreted within a dual-process framework: midline theta activity is posited to regulate top-down attentional processes, whereas beta activity from motor areas underlies the bottom-up encoding of sensory information from movement. From this model, we suggest that during implicit visuomotor sequence learning, top-down processes become disengaged (indicated by a reduction in theta activity), and modality specific bottom-up processes encode the motor sequence (indicated by a reduction in alpha/beta activity).
摘要：
内隐视觉运动序列学习对于获得导致自动化行为的技能至关重要。支撑这种学习过程的振荡动力学尚未得到很好的理解。为了解决这个差距，本研究采用中密度阵列(64个电极)脑电图技术,研究了在“连续反应时间”任务中与内隐视觉运动序列学习相关的振荡活动.在任务中,参与者在不知不觉中学习了一系列手指动作。85名健康成年人参加了这项研究。分析表明，在学习过程中，顶点处的theta活性和运动区域上的alpha/beta活性下降。未观察到α/β和θ功率之间的关联。这些发现是在双重过程框架内解释的：中线theta活动被认为是调节自上而下的注意过程，而运动区域的β活性是运动感觉信息自下而上编码的基础。从这个模型来看,我们建议在内隐视觉运动序列学习过程中，自上而下的过程变得分离(由θ活性降低表示)，和模态特定的自下而上的过程编码运动序列(由α/β活性的降低表示)。
