Analyses of EEG oscillatory activities during slow and fast repetitive movements using holo-hilbert spectral analysis

Hao Teng Hsu, Wai Keung Lee, Kuo Kai Shyu, Ting Kuang Yeh, Chun Yen Chang, Po Lei Lee

研究成果: 雜誌貢獻期刊論文同行評審

13 引文 斯高帕斯(Scopus)


Neural oscillatory activities existing in multiple frequency bands usually represent different levels of neurophysiological meanings, from micro-scale to macro-scale organizations. In this paper, we adopted Holo-Hilbert spectral analysis (HHSA) to study the amplitude-modulated (AM) and frequency-modulated (FM) components in sensorimotor Mu rhythm induced by slow- A nd fast-rate repetitive movements. The HHSA-based approach is a two-layer empirical mode decomposition architecture, which firstly decomposes the EEG signal into a series of frequency-modulated intrinsic mode functions (IMFs) and then decomposes each frequency-modulated IMF into a set of amplitude-modulated IMFs. With the HHSA, the FM and AM components were incorporated with their instantaneous power to achieve full-informational spectral analysis. We observed that the instantaneous power induced by slow-rate movements was significantly higher than that induced by fast-rate movements (p < 0.01, Wilcoxon signed rank test). The alpha-band AM frequencies induced by slow-rate movements were higher than those induced by fast-rate movements, while no statistical difference was found in beta-band AM frequencies. In addition, to study the functional coupling between the primary sensorimotor area and other brain regions, spectral coherence was applied and statistical difference was found in frontal area in slow-rate versus fast-rate movements. The discrepancy between slow- A nd fast-rate movements might be due to the change of motor functional modes from a default mode network to automatic timing with the increase of movement rates. The use of HHSA for oscillatory activity analysis can be an efficient tool to provide informative interaction among different frequency bands.

頁(從 - 到)1659-1668
期刊IEEE Transactions on Neural Systems and Rehabilitation Engineering
出版狀態已出版 - 9月 2018


深入研究「Analyses of EEG oscillatory activities during slow and fast repetitive movements using holo-hilbert spectral analysis」主題。共同形成了獨特的指紋。