Corticokinematic coherence (CKC) is the phase coupling between limb kinematics and cortical neurophysiological signals reflecting cortical processing of proprioceptive afference, and is reproducible when estimated with magnetoencephalography (MEG). However, feasibility and reproducibility of CKC based on electroencephalography (EEG) is still unclear and is the primary object of the present report. Thirteen healthy right-handed volunteers (7 females, 21.7 ± 4.3 years) participated two separate EEG sessions 12.6±1.3 months apart. Participants' dominant and non-dominant index finger was continuously moved at 3 Hz for 4 min separately using a pneumatic-movement actuator. Coherence was computed between finger acceleration and three derivations of EEG signals: (1) average reference, (2) bipolar derivations, and (3) surface Laplacian. CKC strength was defined as the peak coherence value at the movement frequency. Intraclass-correlation coefficient values (0.74-0.93) indicated excellent inter-session reproducibility for CKC strength for all derivations and moved fingers. CKC strength obtained with EEG was ~2 times lower compared to MEG but the values were positively correlated across the participants. CKC strength was significantly (p<0.01) higher for bipolar (session-1 0.19±0.09; session-2 0.20±0.10) and surface Laplacian (session-1 0.22±0.09; session-2 0.21±0.09) derivations than for the average reference (session 1 0.10±0.04; session 2, 0.11±0.05). We demonstrated that CKC is feasible and reproducible tool to monitor proprioception using EEG recordings, although the strength of CKC was twice lower for EEG compared to MEG. Laplacian and bipolar (CP3-C1/CP3-C3 and CP4-C2/C4-FC2) EEG derivation(s) are recommended for future research and clinical use of CKC method.

中文翻译：

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基于脑电图的皮质运动相干的可行性和可重复性

皮质运动学相干 (CKC) 是肢体运动学和皮质神经生理学信号之间的相位耦合，反映了本体感受的皮质处理，并且在用脑磁图 (MEG) 估计时可重现。然而，基于脑电图 (EEG) 的 CKC 的可行性和可重复性仍不清楚，是本报告的主要目标。13 名健康的右手志愿者（7 名女性，21.7 ± 4.3 岁）参加了两次独立的 EEG 会议，时间间隔为 12.6±1.3 个月。参与者的优势和非优势食指分别使用气动运动执行器以 3 Hz 的频率连续移动 4 分钟。计算手指加速度和 EEG 信号的三个推导之间的相干性：(1) 平均参考，(2) 双极推导，和 (3) 表面拉普拉斯算子。CKC 强度定义为运动频率处的峰值相干值。类内相关系数值 (0.74-0.93) 表明所有推导和移动手指的 CKC 强度的会话间可重复性极佳。与 MEG 相比，使用 EEG 获得的 CKC 强度低约 2 倍，但这些值在参与者之间呈正相关。双极（会话 1 0.19±0.09；会话 2 0.20±0.10）和表面拉普拉斯算子（会话 1 0.22±0.09；会话 2 0.21±0.09）推导的 CKC 强度显着（p<0.01）高于平均值参考（第 1 课 0.10±0.04；第 2 课，0.11±0.05）。我们证明 CKC 是使用 EEG 记录监测本体感受的可行且可重复的工具，尽管与 MEG 相比，EEG 的 CKC 强度低两倍。