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Related Concept Videos

Stages of Sleep01:22

Stages of Sleep

Sleep progresses through distinct stages, each characterized by specific brain wave patterns and physiological responses ranging from wakefulness to stages of non-rapid eye movement, known as non-REM, to rapid eye movement, referred to as REM. Understanding these stages helps in recognizing how sleep supports various bodily and cognitive functions.
Before sleep begins, in wakefulness, the brain exhibits primarily beta waves, which are high in frequency and low in amplitude, indicating alertness...
Sleep-Wake Cycles01:24

Sleep-Wake Cycles

Sleep is an essential physiological process vital to maintaining overall well-being. The reticular activating system (RAS), a network of neurons in the brainstem, regulates wakefulness and sleep. While it may seem passive, sleep consists of distinct cycles, each with its unique characteristics and functions. Two key sleep phases are non-rapid eye movement (NREM) and  rapid eye movement (REM).
NREM Sleep
NREM sleep comprises four progressive stages that seamlessly merge:
Understanding Sleep01:11

Understanding Sleep

Sleep, an essential biological state, involves significant reductions in physical activity, sensory awareness, and interaction with the environment. This complex physiological process is primarily regulated by specific brain regions, notably the hypothalamus and pons, which govern the sleep-wake cycle or circadian rhythm.
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Narcolepsy01:07

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Narcolepsy is a chronic sleep disorder characterized by pervasive, uncontrolled sleepiness and other sleep disturbances. One of its hallmark symptoms is an abrupt transition to REM sleep upon falling asleep, which causes symptoms typically associated with this phase to occur unexpectedly during wakefulness. These include the following symptoms, which typically last from a minute or two to half an hour.
Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
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Histogram01:05

Histogram

The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...

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Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

Characterizing sleep structure using the hypnogram.

Bruce J Swihart1, Brian Caffo, Karen Bandeen-Roche

  • 1Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA.

Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine
|September 4, 2008
PubMed
Summary
This summary is machine-generated.

New analysis methods reveal sleep structure differences in individuals with sleep-disordered breathing (SDB). Log-linear and multistate models detected changes in sleep transitions not seen in traditional sleep summaries.

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Area of Science:

  • Sleep Medicine
  • Biostatistics

Background:

  • Traditional sleep structure analysis relies on composite sleep-stage summaries.
  • Sleep-disordered breathing (SDB) effects on sleep architecture require more sensitive evaluation methods.

Purpose of the Study:

  • To demonstrate the utility of log-linear and multistate analysis of sleep hypnograms.
  • To evaluate differences in nocturnal sleep structure between subjects with and without SDB.

Main Methods:

  • Utilized a community-based sample from the Sleep Heart Health Study.
  • Employed log-linear and multistate survival analysis on sleep hypnograms.
  • Quantified transition frequencies and hazards between wake, NREM, and REM sleep.

Main Results:

  • Subjects with SDB exhibited higher frequencies of wake-to-NREM and NREM-to-wake transitions.
  • Multistate models showed quicker transitions from wake-to-NREM and NREM-to-wake in SDB subjects.
  • Conventional sleep-stage summaries did not reveal these differences.

Conclusions:

  • Log-linear and multistate analyses identify sleep structure differences missed by conventional methods.
  • These event history methods offer detailed characterization of sleep continuity.
  • This approach aids in understanding how conditions like SDB impact sleep and health outcomes.