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[Changes in the correlation of electroencephalograms connected with rhythmic movements]
Abstract:
Estimation of the correlation (C) between EEG processes is usually based on time averaging. Event-related changes in C around the mean level can be extracted with the help of ensemble averaging (synchronous accumulation). Fast and small non-stationary oscillations of C can be reliably distinguished in such a way. Curves of sign correlation averaged for 64 cycles were measured during rhythmic movements. It has been shown that the mean values of the curves coincide with the known ones. A high value of C for symmetric EEG recording and C dependence on the distance between the electrodes, etc. were found. Additional data were obtained on the relationship between changes in C and movement phases (an increase in C at the onset and the end of movement cycles multiphasic form of the C curves, etc.) and on the relation between the phases of various curves of C.