Performance of different synchronization measures in real data: A case study on electroencephalographic signals Export

@article{Quian2002, abstract = {We study the synchronization between left and right hemisphere rat electroencephalographic (EEG) channels by using various synchronization measures; namely nonlinear interdependences; phase synchronizations; mutual information; cross correlation; and the coherence function. In passing we show a close relation between two recently proposed phase synchronization measures and we extend the definition of one of them. In three typical examples we observe that except mutual information; all these measures give a useful quantification that is hard to be guessed beforehand from the raw data. Despite their differences; results are qualitatively the same. Therefore; we claim that the applied measures are valuable for the study of synchronization in real data. Moreover; in the particular case of EEG signals their use as complementary variables could be of clinical relevance.}, author = {Quiroga, R. Quian and Kraskov, A. and Kreuz, T. and Grassberger, P.}, citeulike-article-id = {2942785}, citeulike-linkout-0 = {http://dx.doi.org/10.1103/PhysRevE.65.041903}, citeulike-linkout-1 = {http://link.aps.org/abstract/PRE/v65/i4/e041903}, citeulike-linkout-2 = {http://link.aps.org/pdf/PRE/v65/i4/e041903}, day = {15}, doi = {10.1103/PhysRevE.65.041903}, journal = {Physical Review E}, keywords = {neurodynamics, synchronization}, month = {Mar}, number = {4}, pages = {041903+}, posted-at = {2008-06-30 04:14:37}, priority = {2}, publisher = {American Physical Society}, title = {Performance of different synchronization measures in real data: A case study on electroencephalographic signals}, url = {http://dx.doi.org/10.1103/PhysRevE.65.041903}, volume = {65}, year = {2002} }

TY - JOUR ID - Quian2002 L3 - citeulike-article-id:2942785 N2 - We study the synchronization between left and right hemisphere rat electroencephalographic (EEG) channels by using various synchronization measures; namely nonlinear interdependences; phase synchronizations; mutual information; cross correlation; and the coherence function. In passing we show a close relation between two recently proposed phase synchronization measures and we extend the definition of one of them. In three typical examples we observe that except mutual information; all these measures give a useful quantification that is hard to be guessed beforehand from the raw data. Despite their differences; results are qualitatively the same. Therefore; we claim that the applied measures are valuable for the study of synchronization in real data. Moreover; in the particular case of EEG signals their use as complementary variables could be of clinical relevance. IS - 4 JF - Physical Review E TI - Performance of different synchronization measures in real data: A case study on electroencephalographic signals PB - American Physical Society VL - 65 SP - 041903 KW - neurodynamics KW - synchronization AU - Quiroga, Quian AU - Kraskov, A AU - Kreuz, T AU - Grassberger, P PY - 2002/Mar/15/ UR - http://dx.doi.org/10.1103/PhysRevE.65.041903 ER -