PMID- 32372906 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20200928 IS - 1662-4548 (Print) IS - 1662-453X (Electronic) IS - 1662-453X (Linking) VI - 14 DP - 2020 TI - Sleep Electroencephalographic Response to Respiratory Events in Patients With Moderate Sleep Apnea-Hypopnea Syndrome. PG - 310 LID - 10.3389/fnins.2020.00310 [doi] LID - 310 AB - Sleep apnea-hypopnea syndrome is a common breathing disorder that can lead to organic brain injury, prevent memory consolidation, and cause other adverse mental-related complications. Brain activity while sleeping during respiratory events is related to these dysfunctions. In this study, we analyzed variations in electroencephalography (EEG) signals before, during, and after such events. Absolute and relative powers, as well as symbolic transfer entropy (STE) of scalp EEG signals, were calculated to unveil the activity of brain regions and information interactions between them, respectively. During the respiratory events, only low-frequency power increased during rapid eye movement (REM) stage (delta-band absolute and relative power) and N1 (delta- and theta-band absolute power, delta-band relative power) sleep. But absolute power increased in low- and medium-frequency bands (delta, theta, alpha, and sigma bands), and relative power increased mainly in the medium-frequency band (alpha and sigma bands) during stage N2 sleep. After the respiratory events, absolute power increased in all frequency bands and sleep stages, but relative power increased in medium and high frequencies. Regarding information interactions, the beta-band STE decreased during and after events. In the gamma band, the intrahemispheric STE increased during events and decreased afterward. Moreover, the interhemisphere STE increased after events during REM and stage N1 sleep. The EEG changes throughout respiratory events are supporting evidence for previous EEG knowledge of the impact of sleep apnea on the brain. These findings may provide insights into the influence of the sleep apnea-hypopnea syndrome on cognitive function and neuropsychiatric defects. CI - Copyright (c) 2020 Zhou, Pan, Yang, Zhang, Guo and Luo. FAU - Zhou, Guolin AU - Zhou G AD - School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China. FAU - Pan, Yu AU - Pan Y AD - School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China. FAU - Yang, Juan AU - Yang J AD - School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China. FAU - Zhang, Xiangmin AU - Zhang X AD - Sleep-Disordered Breathing Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. FAU - Guo, Xinwen AU - Guo X AD - Department of Psychology, Guangdong 999 Brain Hospital, Guangzhou, China. FAU - Luo, Yuxi AU - Luo Y AD - School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China. AD - Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instruments, Sun Yat-sen University, Guangzhou, China. LA - eng PT - Journal Article DEP - 20200421 PL - Switzerland TA - Front Neurosci JT - Frontiers in neuroscience JID - 101478481 PMC - PMC7186482 OTO - NOTNLM OT - effective connectivity OT - electroencephalography OT - respiratory events OT - sleep apnea-hypopnea syndrome OT - symbolic transfer entropy EDAT- 2020/05/07 06:00 MHDA- 2020/05/07 06:01 PMCR- 2020/01/01 CRDT- 2020/05/07 06:00 PHST- 2019/12/05 00:00 [received] PHST- 2020/03/17 00:00 [accepted] PHST- 2020/05/07 06:00 [entrez] PHST- 2020/05/07 06:00 [pubmed] PHST- 2020/05/07 06:01 [medline] PHST- 2020/01/01 00:00 [pmc-release] AID - 10.3389/fnins.2020.00310 [doi] PST - epublish SO - Front Neurosci. 2020 Apr 21;14:310. doi: 10.3389/fnins.2020.00310. eCollection 2020.