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Related Experiment Video

Updated: May 7, 2025

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Published on: August 2, 2017

Sleep duration at night affects daytime wake EEG spectra.

Ankit Anurag¹, Karuna Datta², Anna Bhutambare³

¹Medical Cadet, Armed Forces Medical College, Pune, India.

Medical Journal, Armed Forces India

|December 30, 2024

Summary

Reduced night-time sleep duration in college students is linked to lower daytime delta power in Electroencephalogram (EEG) recordings. This finding highlights the impact of sleep duration on brain activity and cognitive function.

Keywords:

Daytime EEG Daytime sleepiness Nap Nighttime sleep duration Sleep delta

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Last Updated: May 7, 2025

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Published on: August 2, 2017

Human Circadian Phenotyping and Diurnal Performance Testing in the Real World

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Published on: April 7, 2020

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

Area of Science:

Neuroscience
Sleep Science
Cognitive Science

Background:

Sleep deprivation negatively impacts performance, alertness, and health.
Individuals often underestimate their reduced alertness due to sleep deprivation.
Understanding sleep duration effects on college students' brain activity is crucial.

Purpose of the Study:

To investigate the sleep duration patterns of college students.
To determine the effect of total night-time sleep duration on daytime Electroencephalogram (EEG) characteristics.

Main Methods:

A cross-sectional study involving 30 asymptomatic college students.
Collected 14-day sleep diaries and daytime EEG, electrooculography (EOG), and electromyography (EMG) recordings.
Analyzed EEG data using Fast Fourier Transform (FFT) and calculated power spectral density (PSD) in different frequency bands.

Main Results:

A beta band in EEG showed a significant reduction in the initial 45 minutes of recording.
K-means clustering identified two groups: one with significantly reduced daytime sleep delta PSD values associated with shorter sleep duration and time in bed.
Subjects with reduced night-time sleep duration exhibited significantly lower sleep delta PSD values.

Conclusions:

Reduced night-time sleep duration is associated with diminished daytime sleep delta PSD values.
Conversely, adequate night-time sleep quality correlates positively with daytime delta PSD values.