Yang Lingling, Leung Howard, Plank Markus, Snider Joe, Poizner Howard
IEEE J Biomed Health Inform. 2015 Jan;19(1):22-8. doi: 10.1109/JBHI.2014.2327635. Epub 2014 May 30.
The relationship between movement kinematics and human brain activity is an important and fundamental question for the development of neural prosthesis. The peak velocity and the peak acceleration could best reflect the feedforward-type movement; thus, it is worthwhile to investigate them further. Most related studies focused on the correlation between kinematics and brain activity during the movement execution or imagery. However, human movement is the result of the motor planning phase as well as the execution phase and researchers have demonstrated that statistical correlations exist between EEG activity during the motor planning and the peak velocity and the peak acceleration using grand-average analysis. In this paper, we examined whether the correlations were concealed in trial-to-trial decoding from the low signal-to-noise ratio of EEG activity. The alpha and beta powers from the movement planning phase were combined with the alpha and beta powers from the movement execution phase to predict the peak tangential speed and acceleration. The results showed that EEG activity from the motor planning phase could also predict the peak speed and the peak acceleration with a reasonable accuracy. Furthermore, the decoding accuracy of the peak speed and the peak acceleration could both be improved by combining band powers from the motor planning phase with the band powers from the movement execution.
运动运动学与人类大脑活动之间的关系是神经假体发展中一个重要且基础的问题。峰值速度和峰值加速度能够最好地反映前馈型运动；因此，进一步研究它们是值得的。大多数相关研究聚焦于运动执行或想象过程中运动学与大脑活动之间的相关性。然而，人类运动是运动规划阶段以及执行阶段的结果，并且研究人员已经通过总体平均分析证明，在运动规划期间的脑电图（EEG）活动与峰值速度和峰值加速度之间存在统计相关性。在本文中，我们研究了这些相关性是否因EEG活动的低信噪比而在逐次试验解码中被掩盖。将运动规划阶段的α和β功率与运动执行阶段的α和β功率相结合，以预测峰值切向速度和加速度。结果表明，来自运动规划阶段的EEG活动也能够以合理的准确度预测峰值速度和峰值加速度。此外，通过将运动规划阶段的频段功率与运动执行阶段的频段功率相结合，峰值速度和峰值加速度的解码准确度都可以得到提高。
