Coherence and phase synchronization of the brain electrical activity
Main Article Content
Abstract
The work is devoted to estimation of connectivity of brain electrical activity by coherence and phase synchronization. The features of the application of these synchrony measures are considered, four combinations of electroencephalogram (EEG) leads (from left and right hemispheres, symmetric and asymmetric interhemispheric leads) are proposed for investigation of brain activity characteristics in different hemispheres. In the result of background brain electrical activity of healthy patients, difference between symmetric and asymmetric interhemispheric connectivity was identified. The similarity of hemisphere connectivity, which confirms the symmetry of brain activity, was revealed. The results indicate the possibility of desynchronization of brain activity during background recording and allow to estimate the maximum value of consistency of activity in different frequency bands for different derivation groups.
References 12, Fig. 5, Table. 2
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
Babiloni, C., Infarinato, F., Marzano, N., Iacoboni, M. (2011). Intra-hemispheric functional coupling of alpha rhythms is related to golfer's performance: A coherence EEG study. International Journal of Psychophysiology Vol. 82. Pp.260-268.
Lachaux, J.-P., Lutz, A., Rudrauf, D., Le Van Quyen, M. (2002). Estimating the time-course of coher-ence between single-trial brain signals: an introduction to wavelet coherence. Neurophysiol Clin Vol. 32. Pp.157-174.
Lachaux, J.-P., Rodriguez, E., Martinerie, J., Varela, F. J. (1999). Measuring phase synchrony in brain signals. Human Brain Mapping Vol. 8. Pp. 194-208.
Lachaux, J.-P., Rodriguez, E., Martinerie, J., Varela, F. J., Le Van Quyen, M. (2000). Studying single-trials of phase-synchronous activity in the brain. International Journal of Bifurcation and Chaos Vol. 10(10). Рp. 2429-2439.
Le Van Quyen, М. (2001). Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony. Journal of Neuroscience Methods Vol. 111. Рp. 83-98.
Mormann, F., Lehnertz, K., David, P., Elger, C. (2000). Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients. Physica D 144. Pp.358–369.
Palva, M., Palva, S, Kaila, K. (2005). Phase Synchrony among Neuronal Oscillations in the Human Cortex. The Journal of Neuroscience 25(15). Pp. 3962-3972.
Sander, T. H., Bock, A., Leistner, S. (2010). Coherence and imaginary part of coherency identifies cortico-muscular and cortico-thalamic coupling. 32nd Annual International Conference of the IEEE EMBS: рroceedings. Pp.1714-1717.
Schreiber, T., Schmitz, A. (2000). Surrogate time series. Physica D 142. Pp. 346-382.
Vavreshchuk, A., Popov, A., Kanaykin, O. (2013). Synchronization of brain electrical activity between two hemispheres in different frequency bands. Signal Processing Symposium (SPS): proceedings.
Zenkov, L. R. (1996). Clinical electroencephalography (with elements of epileptogy). Taganrog: TRTU. P. 358.
Marple, Jr. S.L. (1990). Digital Spectral Analysis with Applications. Moscow: Mir. P.584.