Dynamics of sleep stage transitions in healthy humans and patients with chronic fatigue syndrome

• Published in: American journal of physiology. Regulatory, integrative and comparative physiology Vol. 294; no. 6; pp. R1980 - R1987
• Main Authors: Kishi, Akifumi, Struzik, Zbigniew R., Natelson, Benjamin H., Togo, Fumiharu, Yamamoto, Yoshiharu
• Format: Journal Article
• Language: English
• Published: United States American Physiological Society 01.06.2008
• Subjects: Adult; Case-Control Studies; Chronic fatigue syndrome; Comparative studies; Electroencephalography; Electromyography; Fatigue; Fatigue Syndrome, Chronic - physiopathology; Female; Human subjects; Humans; Middle Aged; Polysomnography; Probability distribution; Sleep; Sleep Stages - physiology; Sleep, REM - physiology
• ISSN: 0363-6119; 1522-1490; 1522-1490
• DOI: 10.1152/ajpregu.00925.2007

Physiological and/or pathological implications of the dynamics of sleep stage transitions have not, to date, been investigated. We report detailed duration and transition statistics between sleep stages in healthy subjects and in others with chronic fatigue syndrome (CFS); in addition, we also compare our data with previously published results for rats. Twenty-two healthy females and 22 female patients with CFS, characterized by complaints of unrefreshing sleep, underwent one night of polysomnographic recording. We find that duration of deep sleep (stages III and IV) follows a power-law probability distribution function; in contrast, stage II sleep durations follow a stretched exponential and stage I, and REM sleep durations follow an exponential function. These stage duration distributions show a gradually increasing departure from the exponential form with increasing depth of sleep toward a power-law type distribution for deep sleep, suggesting increasing complexity of regulation of deeper sleep stages. We also find a substantial number of REM to non-REM sleep transitions in humans, while this transition is reported to be virtually nonexistent in rats. The relative frequency of this REM to non-REM sleep transition is significantly lower in CFS patients than in controls, resulting in a significantly greater relative transition frequency of moving from both REM and stage I sleep to awake. Such an alteration in the transition pattern suggests that the normal continuation of sleep in light or REM sleep is disrupted in CFS. We conclude that dynamic transition analysis of sleep stages is useful for elucidating yet-to-be-determined human sleep regulation mechanisms with pathophysiological implications.