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Losing Sleep

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In addition to helping physicians diagnose disorders, stable and unstable patterns reveal something about sleep quality that doesn’t involve measuring age-variable slow-wave sleep. While healthy 60-year-olds show little slow-wave sleep on an EEG—apparently, older people get much less SWS—their ECG-derived spectrograms show plenty of stable sleep. Indeed, Thomas thinks that stable patterns, which aren’t captured at all in standard sleep studies, could be an effective measure of sleep quality. In stable sleep, the brain, the heart and respiration become calm, whereas in unstable sleep, everything fluctuates as on a choppy sea—the brain undergoes more frequent microarousals, or CAP, and heart and respiration rates rise and fall, for instance—and this produces a less restorative slumber.

Because neither CAP nor stable-unstable sleep patterns correspond with standard sleep stages, many sleep physicians are skeptical of their importance. But others, including Verma, welcome this research as an attempt to explain what’s going on with patients who don’t meet the criteria for sleep apnea but whose sleep isn’t refreshing. And Virend Somers, a consultant cardiologist at the Mayo Clinic in Rochester, Minn., likes having an alternative approach for evaluating the quality and nature of sleep and identifying its pathologies. “What happens to the heart during sleep, as measured by an ECG, is an important emerging area,” Somers says.

Yet Verma doesn’t think the sleep spectrograms will soon replace the EEG as a diagnostic tool. Despite the statistical association between CAP and ECG-measured unstable sleep, directly gauging CAP activity on an EEG is much further along, in terms of scientific validity and widespread acceptance, than the new ECG-based approach, Verma says. Still, the ECG research, plus several other independent lines of inquiry into alternating brain patterns, has finally begun to modify our 40-year-old conception of what sleep is. As Sejnowski says of his powerful new model for recognizing previously invisible EEG patterns, “We’re zooming in on the nuances of sleep and finding things no one has ever seen.” It could take years before the average sleep clinic is equipped to uncover such nuances. Racing against the almost-daily news about the ill effects of poor sleep, it can catch up none too soon.

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How Did She Sleep?

Judging by three types of analysis, a healthy 22-year-old woman had a good night’s sleep. But which analysis is to be believed? It depends on what doctors are looking for.

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1. “An Electrocardiogram-Based Technique to Assess Cardiopulmonary Coupling During Sleep,” by Robert Thomas, Joseph Mietus, Chung-Kang Peng and Ary Goldberger, Sleep, Volume 28, 2005. An introduction to the new method of “listening” to sleep by analyzing patterns from heart signals, then displaying those patterns in a visual format called a sleep spectrogram.

2. “The Nature of Arousal in Sleep,” by Péter Halász, Mario Terzano, Liborio Parrino and Róbert Bódizs, Journal of Sleep Research, Vol. 13, 2004. The authors theorize that, one, microarousals result from the cyclic alternating pattern (CAP) of brain waves; and, two, contrary to conventional views, arousals are normal elements of sleep that become dangerous only in sleep disorders.

3. “The Cyclic Alternating Pattern Demonstrates Increased Sleep Instability and Correlates With Fatigue and Sleepiness in Adults With Upper Airway Resistance Syndrome,” by Christian Guilleminault, Cecilia Lopes, Chad Hagen and Agostinho da Rosa, Sleep, May 1, 2007. This small but intriguing study found that patients complaining of excessive daytime sleepiness have a mild breathing disorder that conventional sleep studies do not detect, but that CAP analysis can.