Nature and Science of Sleep (Apr 2024)

Wavelet Entropy Analysis of Electroencephalogram Signals During Wake and Different Sleep Stages in Patients with Insomnia Disorder

  • Yang Q,
  • Liu L,
  • Wang J,
  • Zhang Y,
  • Jiang N,
  • Zhang M

Journal volume & issue
Vol. Volume 16
pp. 347 – 358

Abstract

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Qian Yang,1 Lingfeng Liu,1 Jing Wang,2 Ying Zhang,2 Nan Jiang,3 Meiyun Zhang2 1Tianjin Union Medical Center, Tianjin Medical University, Tianjin, 300070, People’s Republic of China; 2Department of Neurology, Tianjin Union Medical Center, Tianjin, 300121, People’s Republic of China; 3School of Mechanical Engineering, Tianjin University, Tianjin, 300354, People’s Republic of ChinaCorrespondence: Meiyun Zhang, Email [email protected]: To investigate the changes in the wavelet entropy during wake and different sleep stages in patients with insomnia disorder.Methods: Sixteen patients with insomnia disorder and sixteen normal controls were enrolled. They underwent scale assessment and two consecutive nights of polysomnography (PSG). Wavelet entropy analysis of electroencephalogram (EEG) signals recorded from all participants in the two groups was performed. The changes in the integral wavelet entropy (En) and individual-scale wavelet entropy (En(a)) during wake and different sleep stages in the two groups were observed, and the differences between the two groups were compared.Results: The insomnia disorder group exhibited lower En during the wake stage, and higher En during the N3 stage compared with the normal control group (all P < 0.001). In terms of En(a), patients with insomnia disorder exhibited lower En(a) in the β and α frequency bands during the wake stage compared with normal controls (β band, P < 0.01; α band, P < 0.001), whereas they showed higher En(a) in the β and α frequency bands during the N3 stage than normal controls (β band, P < 0.001; α band, P < 0.001).Conclusion: Wavelet entropy can reflect the changes in the complexity of EEG signals during wake and different sleep stages in patients with insomnia disorder, which provides a new method and insights about understanding of pathophysiological mechanisms of insomnia disorder. Wavelet entropy provides an objective indicator for assessing sleep quality.Keywords: insomnia disorder, sleep stages, wavelet entropy, polysomnography

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