Electrocortical activity is coupled to gait cycle phase during treadmill walking
Electrocortical activity is coupled to gait cycle phase during treadmill walking
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DOI：
10.1016/j.neuroimage.2010.08.066
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发表时间：
2011-01-15
期刊：
影响因子：
5.7
通讯作者：
Ferris, Daniel P.
中科院分区：
文献类型：
--
作者：
Gwin, Joseph T.;Gramann, Klaus;Ferris, Daniel P.
最近的研究结果表明，人类大脑皮层在稳定速度不受干扰的运动中比以前认为的更活跃。然而，已经被用来在运动过程中的大脑成像的技术缺乏必要的时间分辨率，以评估跨内皮层动力学。我们的目的是确定是否皮层电活动耦合到步态周期阶段在稳定速度的人类行走。我们使用脑电图（EEG），动作捕捉，和测力跑步机记录大脑和身体的动力学，而八个健康的年轻成年人的主题走在跑步机上。Infomax独立分量分析（伊卡）将EEG信号解析为最大独立分量（IC）过程，表示皮层电源、肌肉源和伪影。我们计算了一个空间固定的等效电流偶极子为每个IC使用逆建模方法，并集群的电皮层源在偶极子位置和功率谱的相似性在受试者。然后，我们计算了每个皮层电源的频谱图，这些源被时间锁定到步态周期。前扣带回、后顶叶和感觉运动皮层的皮层电源差异有显著性（p
Recent findings suggest that human cortex is more active during steady-speed unperturbed locomotion than previously thought. However, techniques that have been used to image the brain during locomotion lack the temporal resolution necessary to assess intra-stride cortical dynamics. Our aim was to determine if electrocortical activity is coupled to gait cycle phase during steady-speed human walking. We used electroencephalography (EEG), motion capture, and a force-measuring treadmill to record brain and body dynamics while eight healthy young adult subjects walked on a treadmill. Infomax independent component analysis (ICA) parsed EEG signals into maximally independent component (IC) processes representing electrocortical sources, muscle sources, and artifacts. We calculated a spatially fixed equivalent current dipole for each IC using an inverse modeling approach, and clustered electrocortical sources across subjects by similarities in dipole locations and power spectra. We then computed spectrograms for each electrocortical source that were time-locked to the gait cycle. Electrocortical sources in the anterior cingulate, posterior parietal, and sensorimotor cortex exhibited significant (p