Relationship between speed and EEG activity during imagined and executed hand movements.

Relationship between speed and EEG activity during imagined and executed hand movements.
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DOI:
10.1088/1741-2560/7/2/026001
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发表时间:
2010-04
影响因子:
4
通讯作者:
He B
He B
中科院分区:
工程技术2区
文献类型:
--
作者:
Yuan H;Perdoni C;He B

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初级运动皮质和运动运动学之间的关系已经在非人类灵长类动物的手伸展或绘画任务的研究中得到了证明。研究表明,伴随运动或紧接着运动之前的神经活动编码方向、速度和其他信息。本文研究了10名受试者想象和实际手部运动的运动学特征,即握手速度和脑电活动之间的关系。研究参与者被要求表演并想象左手和右手以不同的速度紧握。研究发现,阿尔法(8赫兹-12赫兹)和贝塔(18赫兹-28赫兹)频段的脑电活动与图像紧握的速度呈线性相关。在手部动作的执行过程中也发现了类似的参数调制。建立了脑电活动与速度和手(左手和右手)之间的单一方程。这个方程包含两个参数的线性独立组合,描述了任务过程中随时间变化的神经活动。基于该模型,提出了一种从多通道脑电信号中提取这两个参数的回归方法。我们演示了想象握手的动态手和速度信息的连续解码。特别地,在钟形轮廓中重建了随时间变化的咬合速度。我们的发现提示了一种为运动障碍瘫痪患者提供连续和复杂的非侵入性脑机接口控制的应用。
The relationship between primary motor cortex and movement kinematics has been shown in nonhuman primate studies of hand reaching or drawing tasks. Studies have demonstrated that the neural activities accompanying or immediately preceding the movement encode the direction, speed and other information. Here we investigated the relationship between the kinematics of imagined and actual hand movement, i.e. the clenching speed, and the EEG activity in ten human subjects. Study participants were asked to perform and imagine clenching of the left hand and right hand at various speeds. The EEG activity in the alpha (8 Hz – 12 Hz) and beta (18 Hz – 28 Hz) frequency bands were found to be linearly correlated with the speed of imagery clenching. Similar parametric modulation was also found during the execution of hand movements. A single equation relating the EEG activity to the speed and the hand (left vs. right) was developed. This equation, which contained a linear independent combination of the two parameters, described the time-varying neural activity during the tasks. Based on the model, a regression approach was developed to decode the two parameters from the multiple-channel EEG signals. We demonstrated the continuous decoding of dynamic hand and speed information of the imagined clenching. In particular, the time-varying clenching speed was reconstructed in a bell-shaped profile. Our findings suggest an application to providing continuous and complex control of non-invasive brain-computer interface for movement-impaired paralytics.
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