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Guo Y, Chen Y, Yang Q, et al. Multi-Scale Permutation Entropy: A Potential Measure for the Impact of Sleep Medication on Brain Dynamics of Patients with Insomnia. Entropy (Basel). 2021;23(9)doi: 10.3390/e23091101.
Guo, Y., Chen, Y., Yang, Q., Hou, F., Liu, X., & Ma, Y. (2021). Multi-Scale Permutation Entropy: A Potential Measure for the Impact of Sleep Medication on Brain Dynamics of Patients with Insomnia. Entropy (Basel, Switzerland), 23(9), . https://doi.org/10.3390/e23091101
Guo, Yanping, et al. "Multi-Scale Permutation Entropy: A Potential Measure for the Impact of Sleep Medication on Brain Dynamics of Patients with Insomnia." Entropy (Basel, Switzerland) vol. 23,9 (2021). doi: https://doi.org/10.3390/e23091101
Guo Y, Chen Y, Yang Q, Hou F, Liu X, Ma Y. Multi-Scale Permutation Entropy: A Potential Measure for the Impact of Sleep Medication on Brain Dynamics of Patients with Insomnia. Entropy (Basel). 2021 Aug 25;23(9). doi: 10.3390/e23091101. PMID: 34573726; PMCID: PMC8472826.
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Entropy (Basel). 2021 Aug 25;23(9). doi: 10.3390/e23091101.

Multi-Scale Permutation Entropy: A Potential Measure for the Impact of Sleep Medication on Brain Dynamics of Patients with Insomnia.

Entropy (Basel, Switzerland)

Yanping Guo, Yingying Chen, Qianru Yang, Fengzhen Hou, Xinyu Liu, Yan Ma

Affiliations

  1. School of Electrical & Mechanical Engineering and Automation, Nanhang Jincheng College, Nanjing 211156, China.
  2. School of Science, China Pharmaceutical University, Nanjing 210009, China.
  3. School of Software, Nanjing University of Science and Technology, Nanjing 210094, China.
  4. Osher Center for Integrative Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA.
  5. Beth Israel Deaconess Medical Center, Division of Interdisciplinary Medicine and Biotechnology, Department of Medicine, Harvard Medical School, Boston, MA 02215, USA.

PMID: 34573726 PMCID: PMC8472826 DOI: 10.3390/e23091101

Abstract

Insomnia is a common sleep disorder that is closely associated with the occurrence and deterioration of cardiovascular disease, depression and other diseases. The evaluation of pharmacological treatments for insomnia brings significant clinical implications. In this study, a total of 20 patients with mild insomnia and 75 healthy subjects as controls (HC) were included to explore alterations of electroencephalogram (EEG) complexity associated with insomnia and its pharmacological treatment by using multi-scale permutation entropy (MPE). All participants were recorded for two nights of polysomnography (PSG). The patients with mild insomnia received a placebo on the first night (Placebo) and temazepam on the second night (Temazepam), while the HCs had no sleep-related medication intake for either night. EEG recordings from each night were extracted and analyzed using MPE. The results showed that MPE decreased significantly from pre-lights-off to the period during sleep transition and then to the period after sleep onset, and also during the deepening of sleep stage in the HC group. Furthermore, results from the insomnia subjects showed that MPE values were significantly lower for the Temazepam night compared to MPE values for the Placebo night. Moreover, MPE values for the Temazepam night showed no correlation with age or gender. Our results indicated that EEG complexity, measured by MPE, may be utilized as an alternative approach to measure the impact of sleep medication on brain dynamics.

Keywords: EEG; complexity; insomnia; permutation entropy; temazepam

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