K-complexes are a sensitive marker of noise-related sensory processing during sleep: a pilot study

Sleep. 2021 Sep 13;44(9):zsab065. doi: 10.1093/sleep/zsab065.

Abstract

Study objectives: The primary aim of this study was to examine dose-response relationships between sound pressure levels (SPLs) and K-complex occurrence probability for wind farm and road traffic noise. A secondary aim was to compare K-complex dose-responses to manually scored electroencephalography arousals and awakenings.

Methods: Twenty-five participants underwent polysomnography recordings and noise exposure during sleep in a laboratory. Wind farm and road traffic noise recordings of 20-sec duration were played in random order at 6 SPLs between 33 and 48 dBA during established N2 or deeper sleep. Noise periods were separated with periods of 23 dBA background noise. K-complexes were scored using a validated algorithm. K-complex occurrence probability was compared between noise types controlling for noise SPL, subjective noise sensitivity, and measured hearing acuity.

Results: Noise-induced K-complexes were observed in N2 sleep at SPLs as low as 33 dBA (Odds ratio, 33 dBA vs 23 dBA, mean (95% confidence interval); 1.75 (1.16, 2.66)) and increased with SPL. EEG arousals and awakenings were only associated with noise above 39 dBA in N2 sleep. K-complexes were 2 times more likely to occur in response to noise than EEG arousals or awakenings. Subjective noise sensitivity and hearing acuity were associated with the K-complex occurrence, but not arousal or awakening. Noise type did not detectably influence K-complexes, EEG arousals, or awakening responses.

Conclusion: These findings support that K-complexes are a sensitive marker of sensory processing of environmental noise during sleep and that increased hearing acuity and decreased self-reported noise sensitivity increase K-complex probability.

Keywords: K-complex; arousals; artificial Intelligence; awakenings; deep learning; disrupted sleep; environmental noise; noise sensitivity; sleep fragmentation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Arousal*
  • Electroencephalography
  • Humans
  • Perception
  • Pilot Projects
  • Polysomnography
  • Sleep*