NDLI: Wavelet coherence for investigating the time-varying synchrony of EEG during sentence identification

Content Provider	IEEE Xplore Digital Library
Author	Minfen Shen Ting, K.H. Chan, F.H.Y.
Copyright Year	2002
Description	Author affiliation: Sci. Res. Centre, Shantou Univ., Guangdong Shantou, China (Minfen Shen)
Abstract	In order to investigate how the cognitive processes take place in different brain regions, coherence analysis has been used as a tool for this purpose. This paper proposes a modern time-frequency method, which as an alternative for quantifying synchrony with both temporal and spectral resolution. The presented method employed the wavelet transform for cross coherent spectral analysis of the EEG signals recorded during sentences recognizing. The wavelet-coherent magnitude spectra serves to indicate the degree of coherence and the cross wavelet phase serves to indicate the direction of information flow between channels on different cortical regions. Real EEG recordings are collected based on a cognitive target. It is observed from both the magnitude spectra and phase of the wavelet-coherence that there are obvious differences between the identification of Chinese and English sentences. These are helpful for the research on the English study for Chinese people.
Starting Page	106
Ending Page	107
File Size	149390
Page Count	2
File Format	PDF
ISBN	0780376129
ISSN	1094687X
DOI	10.1109/IEMBS.2002.1134408
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Coherence Electroencephalography Frequency synchronization Wavelet analysis Signal resolution Wavelet transforms Signal analysis Brain modeling Analytical models Wavelet domain
Content Type	Text
Resource Type	Article

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