Performance of different synchronization measures in real data: a case study on electroencephalographic signals.
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.
Quian Quiroga
R
R
John von Neumann Institute for Computing, Forschungszentrum Jülich GmbH, D-52425 Jülich, Germany. rodri@vis.caltech.edu
Kraskov
A
A
Kreuz
T
T
Grassberger
P
P
D000818:Animals; D001930:Brain Injuries / Q000139:chemically induced / Q000503:physiopathology; D003344:Cortical Synchronization / Q000187:drug effects / Q000379:methods* / Q000706:statistics & numerical data; D004195:Disease Models, Animal; D004832:Epilepsy, Absence / Q000235:genetics; D006801:Humans; D007051:Ibotenic Acid / Q000633:toxicity; D008297:Male; D017711:Nonlinear Dynamics; D051381:Rats; D011919:Rats, Inbred Strains; D013787:Thalamic Nuclei / Q000187:drug effects / Q000293:injuries; D013997:Time Factors
D007051:Ibotenic Acid