Perge János A, Zhang Shaomin, Malik Wasim Q, Homer Mark L, Cash Sydney, Friehs Gerhard, Eskandar Emad N, Donoghue John P, Hochberg Leigh R
School of Engineering, Brown University, Providence, RI, USA. Institute for Brain Science, Brown University, Providence, RI, USA. Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs Medical Center, Providence, RI, USA.
J Neural Eng. 2014 Aug;11(4):046007. doi: 10.1088/1741-2560/11/4/046007. Epub 2014 Jun 12.
Action potentials and local field potentials (LFPs) recorded in primary motor cortex contain information about the direction of movement. LFPs are assumed to be more robust to signal instabilities than action potentials, which makes LFPs, along with action potentials, a promising signal source for brain-computer interface applications. Still, relatively little research has directly compared the utility of LFPs to action potentials in decoding movement direction in human motor cortex.
We conducted intracortical multi-electrode recordings in motor cortex of two persons (T2 and [S3]) as they performed a motor imagery task. We then compared the offline decoding performance of LFPs and spiking extracted from the same data recorded across a one-year period in each participant.
We obtained offline prediction accuracy of movement direction and endpoint velocity in multiple LFP bands, with the best performance in the highest (200-400 Hz) LFP frequency band, presumably also containing low-pass filtered action potentials. Cross-frequency correlations of preferred directions and directional modulation index showed high similarity of directional information between action potential firing rates (spiking) and high frequency LFPs (70-400 Hz), and increasing disparity with lower frequency bands (0-7, 10-40 and 50-65 Hz). Spikes predicted the direction of intended movement more accurately than any individual LFP band, however combined decoding of all LFPs was statistically indistinguishable from spike-based performance. As the quality of spiking signals (i.e. signal amplitude) and the number of significantly modulated spiking units decreased, the offline decoding performance decreased 3.6[5.65]%/month (for T2 and [S3] respectively). The decrease in the number of significantly modulated LFP signals and their decoding accuracy followed a similar trend (2.4[2.85]%/month, ANCOVA, p = 0.27[0.03]).
Field potentials provided comparable offline decoding performance to unsorted spikes. Thus, LFPs may provide useful external device control using current human intracortical recording technology. (
NCT00912041.).
在初级运动皮层记录的动作电位和局部场电位(LFP)包含有关运动方向的信息。与动作电位相比,LFP被认为对信号不稳定性更具鲁棒性,这使得LFP与动作电位一起成为脑机接口应用中一个有前景的信号源。然而,相对较少的研究直接比较了LFP与动作电位在解码人类运动皮层运动方向方面的效用。
我们在两名受试者(T2和[S3])执行运动想象任务时,对其运动皮层进行了皮层内多电极记录。然后,我们比较了从每个参与者在一年时间内记录的相同数据中提取的LFP和尖峰信号的离线解码性能。
我们在多个LFP频段获得了运动方向和终点速度的离线预测准确率,在最高(200 - 400 Hz)LFP频段表现最佳,该频段可能还包含低通滤波后的动作电位。偏好方向的交叉频率相关性和方向调制指数显示,动作电位发放率(尖峰信号)与高频LFP(70 - 400 Hz)之间的方向信息高度相似,而与低频段(0 - 7、10 - 40和50 - 65 Hz)的差异逐渐增大。尖峰信号比任何单个LFP频段更准确地预测了预期运动的方向,然而,所有LFP的联合解码在统计学上与基于尖峰信号的性能没有区别。随着尖峰信号质量(即信号幅度)和显著调制的尖峰单元数量减少,离线解码性能每月下降3.6[5.65]%(分别针对T2和[S3])。显著调制的LFP信号数量及其解码准确率的下降遵循类似趋势(每月2.4[2.85]%,协方差分析,p = 0.27[0.03])。
场电位提供了与未分类尖峰信号相当的离线解码性能。因此,使用当前的人类皮层内记录技术,LFP可能为外部设备控制提供有用信息。(临床试验注册号:NCT00912041。)