Interhemispheric Brain Switching Correlates with Severity of Sleep-Disordered Breathing for Obstructive Sleep Apnea Patients
(1) Background: Alternating interhemispheric slow-wave activity during sleep is well-established in birds and cetaceans, but its investigation in humans has been largely neglected. (2) Methods: Fuzzy entropy was used to calculate a laterality index (LI) from C3 and C4 EEG channels. The subjects were...
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doaj-eaf15a2aeb3b477d9a5036f2c89dfcf02020-11-25T00:27:55ZengMDPI AGApplied Sciences2076-34172019-04-0198156810.3390/app9081568app9081568Interhemispheric Brain Switching Correlates with Severity of Sleep-Disordered Breathing for Obstructive Sleep Apnea PatientsYuwen Li0Zhimin Zhang1Guohun Zhu2Hongping Gan3Deyin Liu4Wei Weng5Shoushui Wei6Department of Automation, Xiamen University, Xiamen 361000, ChinaSchool of Control Science and Engineering, Shandong University, Jinan 250100, ChinaSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, AustraliaSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, AustraliaSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, AustraliaDepartment of Automation, Xiamen University, Xiamen 361000, ChinaSchool of Control Science and Engineering, Shandong University, Jinan 250100, China(1) Background: Alternating interhemispheric slow-wave activity during sleep is well-established in birds and cetaceans, but its investigation in humans has been largely neglected. (2) Methods: Fuzzy entropy was used to calculate a laterality index (LI) from C3 and C4 EEG channels. The subjects were grouped according to an apnoea-hypopnoea index (AHI) for statistical analyses: Group A AHI < 15 (mild); Group B 15 ≤ AHI < 30 (moderate); Group C AHI ≥ 30 (severe). The LI distribution was analysed to characterise the brain activity variation in both hemispheres, and the cross-zero switching rate was given statistical tests to find the correlations with the severity of obstructive sleep apnea and sleep states, i.e., wake (W), light sleep (LS), deep sleep (DS), and REM. (3) Results: EEG brain switching activity was observed in all sleep stages, and the LI distribution shows that, for obstructive sleep apnea patients, the interhemispheric asymmetry of brain activity is more obvious than healthy people. A one-way ANOVA revealed a significant difference of switching rate among three groups (F(2,95) = 7.23, <i>p</i> = 0.0012), with Group C shows the least, and also a significant difference among four sleep stages (F(3,94) = 5.09, <i>p</i> = 0.0026), with REM the highest. (4) Conclusions: The alternating interhemispheric activity is confirmed ubiquitous for humans during sleep, and sleep-disordered breathing intends to exacerbate the interhemispheric asymmetry.https://www.mdpi.com/2076-3417/9/8/1568EEGbrain switchingobstructive sleep apnoealaterality indexfuzzy entropy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuwen Li Zhimin Zhang Guohun Zhu Hongping Gan Deyin Liu Wei Weng Shoushui Wei |
spellingShingle |
Yuwen Li Zhimin Zhang Guohun Zhu Hongping Gan Deyin Liu Wei Weng Shoushui Wei Interhemispheric Brain Switching Correlates with Severity of Sleep-Disordered Breathing for Obstructive Sleep Apnea Patients Applied Sciences EEG brain switching obstructive sleep apnoea laterality index fuzzy entropy |
author_facet |
Yuwen Li Zhimin Zhang Guohun Zhu Hongping Gan Deyin Liu Wei Weng Shoushui Wei |
author_sort |
Yuwen Li |
title |
Interhemispheric Brain Switching Correlates with Severity of Sleep-Disordered Breathing for Obstructive Sleep Apnea Patients |
title_short |
Interhemispheric Brain Switching Correlates with Severity of Sleep-Disordered Breathing for Obstructive Sleep Apnea Patients |
title_full |
Interhemispheric Brain Switching Correlates with Severity of Sleep-Disordered Breathing for Obstructive Sleep Apnea Patients |
title_fullStr |
Interhemispheric Brain Switching Correlates with Severity of Sleep-Disordered Breathing for Obstructive Sleep Apnea Patients |
title_full_unstemmed |
Interhemispheric Brain Switching Correlates with Severity of Sleep-Disordered Breathing for Obstructive Sleep Apnea Patients |
title_sort |
interhemispheric brain switching correlates with severity of sleep-disordered breathing for obstructive sleep apnea patients |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2019-04-01 |
description |
(1) Background: Alternating interhemispheric slow-wave activity during sleep is well-established in birds and cetaceans, but its investigation in humans has been largely neglected. (2) Methods: Fuzzy entropy was used to calculate a laterality index (LI) from C3 and C4 EEG channels. The subjects were grouped according to an apnoea-hypopnoea index (AHI) for statistical analyses: Group A AHI < 15 (mild); Group B 15 ≤ AHI < 30 (moderate); Group C AHI ≥ 30 (severe). The LI distribution was analysed to characterise the brain activity variation in both hemispheres, and the cross-zero switching rate was given statistical tests to find the correlations with the severity of obstructive sleep apnea and sleep states, i.e., wake (W), light sleep (LS), deep sleep (DS), and REM. (3) Results: EEG brain switching activity was observed in all sleep stages, and the LI distribution shows that, for obstructive sleep apnea patients, the interhemispheric asymmetry of brain activity is more obvious than healthy people. A one-way ANOVA revealed a significant difference of switching rate among three groups (F(2,95) = 7.23, <i>p</i> = 0.0012), with Group C shows the least, and also a significant difference among four sleep stages (F(3,94) = 5.09, <i>p</i> = 0.0026), with REM the highest. (4) Conclusions: The alternating interhemispheric activity is confirmed ubiquitous for humans during sleep, and sleep-disordered breathing intends to exacerbate the interhemispheric asymmetry. |
topic |
EEG brain switching obstructive sleep apnoea laterality index fuzzy entropy |
url |
https://www.mdpi.com/2076-3417/9/8/1568 |
work_keys_str_mv |
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