Study Objectives: To determine the effects of dronabinol on quantitative electroencephalogram (EEG) markers of the sleep process, including power distribution and ultradian cycling in 15 patients with obstructive sleep apnea (OSA). Methods: EEG (C4-A1) relative power (% total) in the delta, theta, alpha, and sigma bands was quantifi ed by fast Fourier transformation (FFT) over 28-second intervals. An activation ratio (AR = [alpha + sigma] / [delta + theta]) also was computed for each interval. To assess ultradian rhythms, the best-fi tting cosine wave was determined for AR and each frequency band in each polysomnogram (PSG). Results: Fifteen subjects were included in the analysis. Dronabinol was associated with signifi cantly increased theta power (p = 0.002). During the fi rst half of the night, dronabinol decreased sigma power (p = 0.03) and AR (p = 0.03), and increased theta power (p = 0.0006). At increasing dronabinol doses, ultradian rhythms accounted for a greater fraction of EEG power variance
S C I E N T I F I C I N V E S T I G A T I O N SO bstructive sleep apnea (OSA) is associated with increased sleep fragmentation, decreased sleep effi ciency and reduced slow wave sleep.1,2 These changes in the sleep process undermine sleep quality and are hypothesized to be an important source of excessive daytime sleepiness, the dominant symptom of OSA. Still, despite decades of investigation, the mechanisms linking sleep, disordered breathing, daytime sleepiness, and cognitive dysfunction in OSA remain poorly defi ned. This knowledge gap has hindered efforts to develop effective OSA drug treatments. We previously demonstrated that oral dronabinol decreased apnea hypopnea index (AHI) in subjects with OSA.3 Interestingly, although overall sleep stage percentages did not change with treatment, daytime sleepiness decreased signifi cantly. Here, we hypothesized that simple sleep stage distributions may be insensitive to important aspects of sleep architecture contributing to improved alertness with dronabinol treatment. In comparison to visually assigned sleep stages, quantitative changes in EEG power spectra may provide more sensitive markers of sleep depth, structure, and continuity. Further, cannabinoid drugs such as dronabinol have been shown to alter EEG power spectra both in animals and humans. 4,5 Ultradian cycling between light and deep sleep and between NREM and REM sleep is another highly characteristic component of normal sleep that can be disrupted in subjects with