Transient phase synchrony of independent cognitive components underlying scalp EEG

Bo Hong, Soumyadipta Acharya, Shangkai Gao, V. Thakor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Dynamic synchronization between different brain regions has long been considered as the underlying neural mechanism of sensory, motor and cognitive functions. Practical methods of accurately quantifying this kind of dynamics by using scalp EEG are plagued by volume conduction effects and background noise. We propose a new method of measuring transient phase locking between independent components underlying cognitive brain activities. This unique combination of independent component analysis (ICA) and phase locking statistics (PLS) provides a promising technique for investigating the dynamics of neural synchronization between different cortical regions, without the contamination of background coherence. This method was tested on the EEG from a cross-modal working memory experiment and its efficacy in detecting transient phase synchrony was demonstrated.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages2037-2040
Number of pages4
StatePublished - Dec 1 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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  • Cite this

    Hong, B., Acharya, S., Gao, S., & Thakor, V. (2005). Transient phase synchrony of independent cognitive components underlying scalp EEG. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 2037-2040). [1616857] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).