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ORIGINAL RESEARCH

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

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Pages 347-358 | Received 27 Nov 2023, Accepted 22 Mar 2024, Published online: 05 Apr 2024

References

  • Ohayon MM. Epidemiology of insomnia: what we know and what we still need to learn. Sleep Med Rev. 2002;6(2):97–111. doi:10.1053/smrv.2002.0186
  • Ohayon MM, Ohayon MM. Observation of the natural evolution of insomnia in the American general population cohort. Sleep Med Clin. 2009;4:87–92. doi:10.1016/j.jsmc.2008.12.002
  • Palagini L, Hertenstein E, Riemann D, Nissen C. Sleep, insomnia and mental health. J Sleep Res. 2022;31(4):e13628. doi:10.1111/jsr.13628
  • Xu G, Li X, Xu C, Xie G, Liang J. Effect of insomnia in the major depressive disorder. BMC Neurol. 2022;22:341. doi:10.1186/s12883-022-02869-x
  • Chellappa SL, Aeschbach D. Sleep and anxiety: from mechanisms to interventions. Sleep Med Rev. 2022;61:101583. doi:10.1016/j.smrv.2021.101583
  • Chinese Medical Association, Neurology Branch, Sleep Disorders Group of the Chinese Medical Association, Neurology Branch. Guideline for the diagnosis and treatment of insomnia in adults in China (2017 edition). Chin J Neurol. 2018;51:324–335.
  • Nofzinger EA, Buysse DJ, Germain A, et al. Alterations in regional cerebral glucose metabolism across waking and non-rapid eye movement sleep in depression. Arch Gen Psychiatry. 2005;62:387–396. doi:10.1001/archpsyc.62.4.387
  • Li X, Zhu Z, Zhao W, et al. Decreased resting-state brain signal complexity in patients with mild cognitive impairment and Alzheimer’s disease: a multiscale entropy analysis. Biomed Opt Express. 2018;9:1916–1929. doi:10.1364/BOE.9.001916
  • Yang AC, Wang SJ, Lai KL, et al. Cognitive and neuropsychiatric correlates of EEG dynamic complexity in patients with Alzheimer’s disease. Prog Neuropsychopharmacol Biol Psychiatry. 2013;47:52–61. doi:10.1016/j.pnpbp.2013.07.022
  • Gonzalez J, Mateos D, Cavelli M, et al. Low frequency oscillations drive EEG’s complexity changes during wakefulness and sleep. Neuroscience. 2022;494:1–11. doi:10.1016/j.neuroscience.2022.04.025
  • Liang Z, Wang Y, Sun X, et al. EEG entropy measures in anesthesia. Front Comput Neurosci. 2015;9:16. doi:10.3389/fncom.2015.00016
  • 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. 2021;23(9):1101. doi:10.3390/e23091101
  • Zhou F, Huang S, Gao L, Zhuang Y, Ding S, Gong H. Temporal regularity of intrinsic cerebral activity in patients with chronic primary insomnia: a brain entropy study using resting-state fMRI. Brain Behav. 2016;6:e529. doi:10.1002/brb3.529
  • Association AP. Diagnostic and statistical manual of mental disorders: DSM-5™ (5th ed.). Codas. 2013;25:191. doi:10.1590/s2317-17822013000200017
  • Iber C, Ancoli-Israel S, Chesson AL, Quan SF. The AASM manual for the scoring of sleep and associated events. Rules Terminol Tech Specifications. 2007;176(2012):7.
  • Liang X, Xiong J, Cao Z, Wang X, Li J, Liu C. Decreased sample entropy during sleep-to-wake transition in sleep apnea patients. Physiol Meas. 2021;42. doi:10.1088/1361-6579/abf1b2
  • Hou F, Zhang L, Qin B, Gaggioni G, Liu X, Vandewalle G. Changes in EEG permutation entropy in the evening and in the transition from wake to sleep. Sleep. 2021;44. doi:10.1093/sleep/zsaa226
  • Gonzalez J, Cavelli M, Mondino A, et al. Decreased electrocortical temporal complexity distinguishes sleep from wakefulness. Sci Rep. 2019;9:18457. doi:10.1038/s41598-019-54788-6
  • Lee GM, Fattinger S, Mouthon AL, Noirhomme Q, Huber R. Electroencephalogram approximate entropy influenced by both age and sleep. Front Neuroinf. 2013;7:33. doi:10.3389/fninf.2013.00033
  • He W-X, Yan X-G, Chen X-P, Liu H. Nonlinear feature extraction of sleeping EEG signals. Conf Proc IEEE Eng Med Biol Soc. 2005;2005:4614–4617. doi:10.1109/IEMBS.2005.1615498
  • Chouvarda I, Rosso V, Mendez MO, et al. Assessment of the EEG complexity during activations from sleep. Comput Methods Programs Biomed. 2011;104:e16–e28. doi:10.1016/j.cmpb.2010.11.005
  • Ma Y, Shi W, Peng CK, Yang AC. Nonlinear dynamical analysis of sleep electroencephalography using fractal and entropy approaches. Sleep Med Rev. 2018;37:85–93. doi:10.1016/j.smrv.2017.01.003
  • Khassawneh BY, Bathgate CJ, Tsai SC, Edinger JD. Neurocognitive performance in insomnia disorder: the impact of hyperarousal and short sleep duration. J Sleep Res. 2018;27(6):e12747. doi:10.1111/jsr.12747
  • Dressle RJ, Riemann D. Hyperarousal in insomnia disorder: current evidence and potential mechanisms. J Sleep Res. 2023;32(6):e13928. doi:10.1111/jsr.13928
  • Riemann D. Hyperarousal and insomnia: state of the science. Sleep Med Rev. 2010;14:17. doi:10.1016/j.smrv.2009.09.002
  • Kao CH, D’Rozario AL, Lovato N, et al. Insomnia subtypes characterised by objective sleep duration and NREM spectral power and the effect of acute sleep restriction: an exploratory analysis. Sci Rep. 2021;11:24331. doi:10.1038/s41598-021-03564-6
  • Kang JM, Cho SE, Moon JY, Kim SI, Kim JW, Kang SG. Difference in spectral power density of sleep electroencephalography between individuals without insomnia and frequent hypnotic users with insomnia complaints. Sci Rep. 2022;12:2117. doi:10.1038/s41598-022-05378-6
  • Spiegelhalder K, Regen W, Feige B, et al. Increased EEG sigma and beta power during NREM sleep in primary insomnia. Biol Psychol. 2012;91:329–333. doi:10.1016/j.biopsycho.2012.08.009
  • Israel B, Buysse DJ, Krafty RT, Begley A, Miewald J, Hall M. Short-term stability of sleep and heart rate variability in good sleepers and patients with insomnia: for some measures, one night is enough. Sleep. 2012;35:1285–1291. doi:10.5665/sleep.2088
  • Maes J, Verbraecken J, Willemen M, et al. Sleep misperception, EEG characteristics and autonomic nervous system activity in primary insomnia: a retrospective study on polysomnographic data. Int J Psychophysiol. 2014;91(3):163–171. doi:10.1590/s2317-17822013000200017
  • Riedner BA, Goldstein MR, Plante DT, et al. Regional patterns of elevated alpha and high-frequency electroencephalographic activity during nonrapid eye movement sleep in chronic insomnia: a Pilot Study. Sleep. 2016;39(4):801–812. doi:10.5665/sleep.5632
  • Kirsch MR, Monahan K, Weng J, Redline S, Loparo KA. Entropy-based measures for quantifying sleep-stage transition dynamics: relationship to sleep fragmentation and daytime sleepiness. IEEE Trans Biomed Eng. 2012;59:787–796. doi:10.1109/TBME.2011.2179032
  • Zhang MY, Wang C, Zhang Y, et al. Wavelet entropy analysis for ictal electroencephalogram signals of child absence epilepsy. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2018;35:530–538. doi:10.7507/1001-5515.201701002
  • Wang YL, Zhang BB, Wang J, Zhang MY, Chen Y, Wang FL. A wavelet entropy analysis of ictal electroencephalogram signals of juvenile myoclonic epilepsy. Guo Ji Shen Jing Bing Xue Shen Jing Wai Ke Xue Za Zhi. 2020;47:343–352.