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Monitoring Sleep Quality Through Low α-Band Activity in the Prefrontal Cortex Using a Portable Electroencephalogram

Chuanliang Han1, Zhizhen Zhang2, Yuchen Lin3

  • 1School of Biomedical Sciences and Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).

Journal of Medical Internet Research
|March 10, 2025
PubMed
Summary

Objective neurobiological markers for sleep quality are poorly understood. This study identifies consistent low alpha band activity in the prefrontal cortex as a reliable indicator of poor sleep quality using electroencephalogram (EEG).

Keywords:
EEGalpha oscillationelectroencephalogramportable deviceprefrontal cortexsleep

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Area of Science:

  • Neuroscience
  • Sleep Science
  • Biomedical Engineering

Background:

  • Subjective perception of sleep quality lacks objective neurobiological correlates.
  • Previous electroencephalogram (EEG) studies on sleep quality lack longitudinal reproducibility.
  • Understanding stable EEG-EEG markers is crucial for identifying neurobiological targets for sleep quality.

Purpose of the Study:

  • To investigate stable associations between electroencephalogram (EEG) data and subjective sleep quality.
  • To identify reliable neurobiological markers for sleep quality using longitudinal data.
  • To explore the potential of portable EEG devices for sleep quality monitoring.

Main Methods:

  • Collected resting-state prefrontal cortex EEG data over 3 months from 42 participants.
  • Assessed sleep quality monthly using the Pittsburgh Sleep Quality Index (PSQI).
  • Analyzed the correlation between EEG alpha band activity and PSQI scores.

Main Results:

  • A significant positive correlation was found between low alpha band activity and higher PSQI scores (r=0.45, P<.001).
  • This association remained consistent across all 3-month follow-up recordings.
  • The periodic component of low alpha band activity was the primary contributor to the association.

Conclusions:

  • Identified low prefrontal alpha band activity as a stable neurobiological marker for sleep quality.
  • This finding represents the first reliable neurobiological target for sleep quality identified through longitudinal monitoring.
  • Results support the use of portable EEG devices for widespread sleep quality assessment and sleep disorder screening.