DocumentCode :
2705406
Title :
A Time-Varying Phase Coherence Measure for Quantifying Functional Integration in the Brain
Author :
Aviyente, Selin ; Evans, W.S. ; Bernat, Edward M. ; Sponheim, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Volume :
4
fYear :
2007
fDate :
15-20 April 2007
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.
Keywords :
electroencephalography; medical signal processing; time-frequency analysis; wavelet transforms; Cohen time-frequency distribution class; electroencephalogram data; frequency domain; functional brain integration; neural synchrony; spectral energy distribution; time-varying brain activity; time-varying phase coherence measure; wavelet transform; Brain; Coherence; Electroencephalography; Energy measurement; Frequency domain analysis; Frequency synchronization; Phase measurement; Signal synthesis; Time frequency analysis; Wavelet transforms; Electroencephalography; Phase synchronization; Time-frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.367283
Filename :
4218314
Link To Document :
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