FIG. 5.

Estimating artifact-free ESE with the model. A: data are the spectrogram (top) of an extended raw EEG recording (bottom) from Fig. 1. Note the frequency range on the spectrogram is wider than in Fig. 1. B: the raw EEG was filtered off-line between 20 and 70 Hz. C: data are the log₁₀ power of the filtered EEG trace in B slid along in time in 5-min increments and adjusted to the EEG power in a 10-min window before pilocarpine injection (termed “baseline”; not shown). The sharp increase in power was characteristic of ESE. The gray bar indicates 60 min after the 1st motor seizure and was the time point of an injection of diazepam. Overlying the EEG power is an 8th-order polynomial estimation of the power of the EEG signal in response to the diazepam injection, referred to as the quantitative model of ESE (red trace). D: data are an extended raw EEG recording from Fig. 2. E: the filtered EEG. F: power of the filtered EEG trace in E. Format is similar to A–C. Filtering the signal reduced artifacts associated with convulsive movements, animal handling, and electrical artifacts such as harmonics of 60 cycle noise. Modeling of the EEG power with the polynomial reduced short-term fluctuations in EEG power, showing the overall temporal trend in the response to the treatment.