Advanced search
1 file | 714.23 KB

An investigation of the phase locking index for measuring of interdependency of cortical source signals recorded in the EEG

(2009) BIOLOGICAL CYBERNETICS. 100(2). p.129-146
Author
Organization
Abstract
The phase locking index (PLI) was introduced to quantify in a statistical sense the phase synchronization of two signals. It has been commonly used to process biosignals. In this article, we investigate the PLI for measuring the interdependency of cortical source signals (CSSs) recorded in the Electroencephalogram (EEG). To this end, we consider simple analytical models for the mapping of simulated CSSs into the EEG. For these models, the PLI is investigated analytically and through numerical simulations. An evaluation is made of the sensitivity of the PLI to the amount of crosstalk between the sources through biological tissues of the head. It is found that the PLI is a useful interdependency measure for CSSs, especially when the amount of crosstalk is small. Another common interdependency measure is the coherence. A direct comparison of both measures has not been made in the literature so far. We assess the performance of the PLI and coherence for estimation and detection purposes based on, respectively, a normalized variance and a novel statistical measure termed contrast. Based on these performance measures, it is found that the PLI is similar or better than the CM in most cases. This result is also confirmed through analysis of EEGs recorded from epileptic patients.
Keywords
EEG, Phase locking, Cortical sources, Correlation, Coupling, Interdependency, Contrast, Distribution function, Model, SYNCHRONIZATION, DYNAMICS, SEIZURES, MODEL, OSCILLATORS, COHERENCY, SYSTEMS, MEG

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 714.23 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Sazonov, Andrei V, Chin Keong Ho, Jan WM Bergmans, Johan BAM Arends, Paul AM Griep, Evgeny A Verbitskiy, Pierre JM Cluitmans, and Paul Boon. 2009. “An Investigation of the Phase Locking Index for Measuring of Interdependency of Cortical Source Signals Recorded in the EEG.” Biological Cybernetics 100 (2): 129–146.
APA
Sazonov, A. V., Ho, C. K., Bergmans, J. W., Arends, J. B., Griep, P. A., Verbitskiy, E. A., Cluitmans, P. J., et al. (2009). An investigation of the phase locking index for measuring of interdependency of cortical source signals recorded in the EEG. BIOLOGICAL CYBERNETICS, 100(2), 129–146.
Vancouver
1.
Sazonov AV, Ho CK, Bergmans JW, Arends JB, Griep PA, Verbitskiy EA, et al. An investigation of the phase locking index for measuring of interdependency of cortical source signals recorded in the EEG. BIOLOGICAL CYBERNETICS. 2009;100(2):129–46.
MLA
Sazonov, Andrei V, Chin Keong Ho, Jan WM Bergmans, et al. “An Investigation of the Phase Locking Index for Measuring of Interdependency of Cortical Source Signals Recorded in the EEG.” BIOLOGICAL CYBERNETICS 100.2 (2009): 129–146. Print.
@article{4270418,
  abstract     = {The phase locking index (PLI) was introduced to quantify in a statistical sense the phase synchronization of two signals. It has been commonly used to process biosignals. In this article, we investigate the PLI for measuring the interdependency of cortical source signals (CSSs) recorded in the Electroencephalogram (EEG). To this end, we consider simple analytical models for the mapping of simulated CSSs into the EEG. For these models, the PLI is investigated analytically and through numerical simulations. An evaluation is made of the sensitivity of the PLI to the amount of crosstalk between the sources through biological tissues of the head. It is found that the PLI is a useful interdependency measure for CSSs, especially when the amount of crosstalk is small. Another common interdependency measure is the coherence. A direct comparison of both measures has not been made in the literature so far. We assess the performance of the PLI and coherence for estimation and detection purposes based on, respectively, a normalized variance and a novel statistical measure termed contrast. Based on these performance measures, it is found that the PLI is similar or better than the CM in most cases. This result is also confirmed through analysis of EEGs recorded from epileptic patients.},
  author       = {Sazonov, Andrei V and Ho, Chin Keong and Bergmans, Jan WM and Arends, Johan BAM and Griep, Paul AM and Verbitskiy, Evgeny A and Cluitmans, Pierre JM and Boon, Paul},
  issn         = {0340-1200},
  journal      = {BIOLOGICAL CYBERNETICS},
  keywords     = {EEG,Phase locking,Cortical sources,Correlation,Coupling,Interdependency,Contrast,Distribution function,Model,SYNCHRONIZATION,DYNAMICS,SEIZURES,MODEL,OSCILLATORS,COHERENCY,SYSTEMS,MEG},
  language     = {eng},
  number       = {2},
  pages        = {129--146},
  title        = {An investigation of the phase locking index for measuring of interdependency of cortical source signals recorded in the EEG},
  url          = {http://dx.doi.org/10.1007/s00422-008-0283-4},
  volume       = {100},
  year         = {2009},
}

Altmetric
View in Altmetric
Web of Science
Times cited: