Spectral EEG correlates of dream recall.

Recent studies have shown that dreaming is not limited to rapid eye movement (REM) sleep, but can be found to varying degrees in any stage of sleep. This study attempted to quantify the EEG correlations of dreaming during Stage 2 sleep. Six normal volunteers were studied for 24 nights in the sleep laboratory. Electroencephalogram (EEG) recording prior to awakening from Stage 2 sleep and from other stages without awakening were subjected to computer spectral analysis. Although awakenings associated with dream recall tended to have lower total power, mean frequency in the beta band proved to be the best correlate of mental activity in Stage 2 sleep. Mean frequency had its highest values in REM sleep and wakefulness and declined in Stage 2 and Stage 4 sleep, in keeping with the decline in mental activity reported from these stages. Implications of these findings are discussed with regard to models of dream recall and clinical states.

Serum and quantitative electroencephalographic pharmacokinetics of loprazolam in the elderly.

This study was undertaken to determine the serum pharmacokinetic parameters of loprazolam, a new benzodiazepine hypnotic, in elderly subjects and to compare these with the kinetics of the drug as determined by quantitative EEG analysis. In addition, a 14-day study was undertaken to determine the steady-state serum levels achieved in this population with repeated drug administration. The study was conducted on 16 male and female subjects between the ages of 62 and 72 years, randomly assigned to two groups treated with 0.5 or 1.0 mg of loprazolam. The serum half-life of loprazolam was found to be 5 hours, and the peak serum concentration was reached after 2 hours. Quantitative EEG changes were observed after 30 minutes suggesting rapid access of the drug into the nervous system. Quantitative EEG changes were evident for 9.5 hours, suggesting the persistent effects of an active metabolite. The 14-day study indicated that loprazolam did not accumulate with continued use.

Clozapine augments delta, theta, and right frontal EEG alpha power in schizophrenic patients.

Objective. To explore the Quantitative EEG (QEEG) effects of established clozapine therapy regimes compared to those of previous ineffective antipsychotic regimes among 64 chronic (DSM-IV) schizophrenic patients. Methods. Data from 20 EEG channels referenced to linked ears were collected before and during maintenance clozapine therapy (mean duration 1.4 years). Absolute power was calculated in six frequency bands: delta (0.4-3.6 Hz), theta (4.2-7.8 Hz), alpha (8.2-11.8 Hz), beta1 (12.2-15.8 Hz), beta2 (16.2-19.8 Hz), and beta3 (20.2-23.8 Hz). Results. Clozapine augments power globally in the delta and theta bands, but this effect is more pronounced over frontal areas. Beta3 power was reduced. Alpha showed a frontal increase, more pronounced in the right, coupled with a posterior decrease with no net change in overall power. Conclusion. The demonstration of a significant clozapine-induced alpha topographic shift frontally and to the right is a novel discovery that may serve to encourage further investigations of subcortical structures in attempts to better understand the diverse aetiologies and optimal treatments of the schizophrenias.

Do QEEG topographic map data have a multivariate normal distribution? Implications for tests of individual maps.

The study was designed to test whether topographic map data expressed in log power units have a multivariate normal (MVN) distribution in a healthy population, and to determine if any deviation from normality poses serious difficulties for the use of standard multivariate statistical tests in assessing the significance of deformations of the map in individual cases. Data on 361 healthy adults using 20 electrodes in the classic 10/20 configuration were recorded in six frequency bands. The log-transformed power data were shown to deviate markedly from MVN. The actual distributions of multivariate tests were computed for the sample using the 'jackknife' method, and shown to deviate markedly from the F-distributions that would be expected for MVN data. These 'jackknife' sampling distributions were then used to demonstrate significant deformations in the topographic maps of a patient who had sustained traumatic head injury.