Electroencephalography shows the timing of sleep cycles by virtue of the marked distinction in
brainwaves manifested during REM and non-REM sleep.
Delta wave activity, correlating with slow-wave (deep) sleep, in particular shows regular oscillations throughout a good night's sleep. Secretions of various
hormones, including
renin,
growth hormone, and
prolactin, correlate positively with delta-wave activity, while secretion of
thyroid-stimulating hormone correlates inversely.
Heart rate variability, well known to increase during REM, predictably also correlates inversely with delta-wave oscillations over the ~90-minute cycle. In order to determine in which stage of sleep the asleep subject is, electroencephalography is combined with other devices used for this differentiation. EMG (
electromyography) is a crucial method to distinguish between sleep phases: for example, a decrease of
muscle tone is in general a characteristic of the transition from wake to sleep, and during REM sleep, there is a state of muscle atonia (paralysis), resulting in an absence of signals in the EMG. for example, REM sleep, as the name indicates, is characterized by a rapid eye movement pattern, visible thanks to the EOG. Moreover, methods based on cardiorespiratory parameters are also effective in the analysis of sleep architecture—if they are associated with the other aforementioned measurements (such as electroencephalography, electrooculography and the electromyography).
Homeostatic functions, especially
thermoregulation, occur normally during non-REM sleep, but not during REM sleep. Thus, during REM sleep, body temperature tends to drift away from its mean level, and during non-REM sleep, to return to normal. Alternation between the stages therefore maintains body temperature within an acceptable range. In humans, the transition between non-REM and REM is abrupt; in other animals, it is less so. == Length ==