Correlated variations in EEG pattern and visual responsiveness of cat lateral geniculate relay cells

1 Simultaneous recordings of the EEG and the visual activity of cat dorsal lateral geniculate nucleus (dLGN) relay cells were analysed for covariance. Sliding time‐window analyses were performed in parallel for the EEG power spectrum and single unit visual activity. The EEG power ratio (EEG‐PR) of low (1‐8 Hz) to high (20‐40 Hz) frequencies was chosen to achieve a quantitative measure of the EEG which could be compared with the spike rate of a dLGN unit at any time. A high EEG‐PR value indicates a synchronized EEG dominated by low frequencies (δ waves and sleep spindles), a low value indicates a less synchronized EEG. 2 In the anaesthetized animal, two different underlying patterns of activity in the EEG‐PR were found: slow gradual changes (slow gradations) and oscillatory changes. In many cases both were accompanied by correlated variations in dLGN spike rate, either for overall activity or for burst firing. 3 The slow gradations appear for long time periods of up to 200 s and, in most cases (76·3 %), show a negative correlation between EEG‐PR and overall spike rate, but predominantly a positive correlation for burst firing (85·1 %). 4 The oscillatory changes, which have not previously been reported, appear as temporally well‐coupled variations in EEG‐PR and spike rate with a stable cycle length within the range 4‐10 s. In about 77 % of correlated changes the temporal delay between the change in EEG‐PR and that of the spike rate was less than ± 1·0 s. 5 During simultaneous recordings from two dLGN cells the variations in spike rate tend to show the same sign of correlation with respect to the EEG pattern. This relationship is more pronounced with the slow gradations than with the oscillatory changes. 6 Slow gradations in the spectral composition of the EEG may indicate global transitions between different stages within the sleep‐wake cycle, reflecting the well‐known influences of the brainstem arousal system. The oscillations in the spectral composition of the EEG are accompanied by gradual variations in thalamic transmission mode and are more likely to be due to involvement of a local feedback system via the thalamo‐cortico‐thalamic loop. The difference between the effects on overall and burst firing activity supports the notion that phasic (burst firing) and tonic visual responses may play distinctive roles in information processing, which are functionally related to the animal's behavioural state.