A time-varying phase coherence measure for quantifying functional integration in the brain

Selin Aviyente, Westley S. Evans, Edward M. Bernat, Scott Sponheim

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

4 Scopus citations

Abstract

The functional integration between the different parts of the brain is usually quantified through a measure of coherence. Most of the existing measures define coherence based on the spectral energy distribution of the signals rather than the phase, and therefore cannot be reliably used as measures of neural synchrony. Moreover, the most common methods for quantifying coherence are formulated in the frequency domain and thus, do not take into account the time-varying nature of brain activity. Recently, coherence measures have been extended to account for the energy and the phase relationships between the given signals and the time-varying nature of the signals using the wavelet transform. In this paper, we extend this idea by introducing a new time-varying phase coherence measure based on Cohen's class of time-frequency distributions. This new measure is applied to both synthesized signals and electroencephalogram (EEG) data to show the effectiveness of the proposed measure in estimating phase changes and in quantifying the neural synchrony in the brain.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesIV1169-IV1172
DOIs
StatePublished - Aug 6 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period4/15/074/20/07

Keywords

  • Electroencephalography
  • Phase synchronization
  • Time-frequency analysis

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