LAUSR

A time series analysis of electroconvulsive (ECT) seizures was performed in patients with depression, examining ictal electroencephalography (EEG), electromyography (EMG), and heart rate (HR) over time, particularly with respect to the physiological interrelations of the ECT seizures. A total of 200 seizures from 21 consecutive patients were analyzed. EEG and EMG data were analyzed by discrete Fourier transform-based continuous wavelet analysis using Morlet wavelet. The time to peak value was investigated for each of these physiological measures. The first group of peaks was the EMG power and the first point of peak HR; the second was EEG power and the last point of peak HR; the third was EMG duration; the fourth was EEG duration; and the fifth was the time of the lowest HR. The time to peak in the central EEG power was associated with that in the low frequency EMG power, the time to peak HR and the time to peak in the frontal pole EEG power. The time to peak in the frontal pole EEG power was associated with that in the central EEG power. The central EEG was considered to be more relevant for seizure generalization than the frontal pole EEG.