A new SWPAQ's scale predicts the effects of sleep deprivation on the segmental structure of alpha waves

The three-dimensional cube-in-globe model predicts the possibility to delineate six main adaptive abilities of the sleep – wake cycle (Putilov & Putilov, Citation2005). Such prediction led to the inclusion of a new sixth scale named "daytime wakeability" (Putilov & Putilov, Citation2006; Putilov, Citation2007) in the Sleep-Wake Pattern Assessment Questionnaire (SWPAQ; Putilov, Citation1990, Citation2000). This new scale permits self-assessment of the ability to keep waking at daytime in sleep provoking conditions. In the study reported here we applied the procedure of adaptive segmentation of the EEG record (SECTION 0.1®, Human Brain Research Group, Moscow State University) to determine whether sleep deprivation changes the temporal pattern of alpha activity and, if yes, whether this change is associated with state and trait self-measures of alertness/sleepiness including a score on "daytime wakeability" scale. In the course of sustained wakefulness, EEG was recorded nine times with three-hour intervals in frontal and occipital derivations in 39 healthy subjects. The procedure of adaptive segmentation allowed cutting EEG records on quasi-stationary segments and determining such characteristics of each segment as within-segmental amplitude, coefficient of its variation and segment length. These characteristics obtained in the morning hours on the first and second experimental days were compared. They were found to increase in the second morning, when eyes are open, but do not change when eyes are closed. It was also documented that "daytime wakeability" score along with other trait and state self-measures of alertness/sleepiness can serve as predictors of the response of alpha waves to sleep deprivation.