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Related Concept Videos

Understanding Sleep01:11

Understanding Sleep

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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.
The circadian rhythm, a nearly 24-hour cycle, is deeply influenced by environmental light cues. Light exposure directly affects the hypothalamus, which in turn regulates...
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Sleep-Wake Cycles01:24

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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:
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Insufficient Sleep and Sleep Deprivation01:13

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Insufficient sleep refers to not getting the recommended amount of sleep for optimal functioning, even if it's just slightly less than needed. Sleep insufficiency may occur due to lifestyle choices, such as staying up late for social events or work, resulting in routinely getting less sleep than required. For example, consistently sleeping 6 hours when the body needs 7-9 hours can lead to cumulative effects on health and well-being.
Sleep deprivation is a more severe form of sleep loss...
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Stages of Sleep01:22

Stages of Sleep

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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...
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Dimensions of Health and Illness01:21

Dimensions of Health and Illness

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The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
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Factors Affecting Perception01:25

Factors Affecting Perception

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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
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Updated: Sep 11, 2025

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice
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The environment around the sleeper is changing: a perspective.

Joon Chung1, Mairead E Moloney1,2, Azizi A Seixas1,2,3

  • 1Department of Informatics and Health Data Science, University of Miami, Miller School of Medicine, Miami, FL, United States.

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Environmental factors like weather significantly impact sleep quality. Further research is needed to integrate dynamic atmospheric data with sleep metrics for better public health interventions.

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Area of Science:

  • Environmental Science
  • Sleep Medicine
  • Public Health

Background:

  • Sleep is influenced by biological, behavioral, and environmental factors.
  • Environmental exposures, especially dynamic atmospheric conditions, are underexplored in sleep research.
  • High-resolution environmental data and evidence of ambient conditions affecting circadian regulation and sleep continuity highlight this gap.

Purpose of the Study:

  • Review emerging evidence linking environmental factors to sleep patterns.
  • Highlight direct and indirect pathways of environmental influence on sleep.
  • Identify opportunities and challenges in integrating environmental data with sleep metrics.

Main Methods:

  • Literature review of emerging evidence on environmental factors and sleep.
  • Discussion of direct effects (e.g., thermal disruptions) and indirect pathways (e.g., extreme weather events).
  • Examination of recent advances in environmental sensing, geospatial data, and real-time monitoring.

Main Results:

  • Environmental factors, including temperature variability and weather patterns, directly and indirectly affect sleep.
  • Advances in sensing technologies enable high-resolution environmental data capture relevant to sleep.
  • Integration of dynamic environmental data with sleep metrics presents methodological and informatics challenges.

Conclusions:

  • Understanding environmental influences on sleep is crucial for advancing scientific knowledge and public health.
  • Developing data infrastructure to integrate environmental and sleep data is essential.
  • Future research should address methodological challenges to contextualize sleep within ecological systems and inform interventions.