PMID- 33813061 OWN - NLM STAT- MEDLINE DCOM- 20210514 LR - 20210514 IS - 1872-7565 (Electronic) IS - 0169-2607 (Linking) VI - 204 DP - 2021 Jun TI - Characterization of the abnormal cortical effective connectivity in patients with sleep apnea hypopnea syndrome during sleep. PG - 106060 LID - S0169-2607(21)00135-8 [pii] LID - 10.1016/j.cmpb.2021.106060 [doi] AB - BACKGROUND AND OBJECTIVES: Sleep apnea hypopnea syndrome (SAHS) is a prevalent sleep breathing disorder that can lead to brain damage and is also a risk factor for cognitive impairment and some common diseases. Studies on cortical effective connectivity (EC) during sleep may provide more direct and pathological information and shed new light on brain dysfunction due to SAHS. However, the EC is rarely explored in SAHS patients, especially during different sleep stages. METHODS: To this end, six-channel EEG signals of 43 SAHS patients and 41 healthy participants were recorded by whole-night polysomnography (PSG). The symbolic transfer entropy (STE) was applied to measure the EC between cortical regions in different frequency bands. Posterior-anterior ratio (PA) was employed to evaluate the posterior-to-anterior pattern of information flow based on overall cortical EC. The statistical characteristics of the STE and PA and of the intra-individual normalized parameters (STE* and PA*) were served as different feature sets for classifying the severity of SAHS. RESULTS: Although the patterns of STE across electrodes were similar, significant differences were found between the patient and the control groups. The variation trends across stages in the PA were also different in multiple frequency bands between groups. Important features extracted from the STE* and PA* were distributed in multiple rhythms, mainly in delta, alpha, and gamma. The PA* feature set gave the best results, with accuracies of 98.8% and 83.3% for SAHS diagnosis (binary) and severity classification (four-way). CONCLUSIONS: These results suggest that modifications in cortical EC were existed in SAHS patients during sleep, which may help characterize cortical abnormality in patients. CI - Copyright (c) 2021. Published by Elsevier B.V. FAU - Pan, Yu AU - Pan Y AD - School of Biomedical Engineering, Sun Yat-sen University, China. FAU - Yang, Juan AU - Yang J AD - School of Biomedical Engineering, Sun Yat-sen University, China. FAU - Zhang, Tingting AU - Zhang T AD - School of Biomedical Engineering, Sun Yat-sen University, China. FAU - Wen, Jinfeng AU - Wen J AD - Psychology Department, Guangdong 999 Brain Hospital, China. FAU - Pang, Feng AU - Pang F AD - Sleep-Disordered Breathing Center, the Sixth Affiliated Hospital of Sun Yat-sen University, China. FAU - Luo, Yuxi AU - Luo Y AD - School of Biomedical Engineering, Sun Yat-sen University, China; Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Sun Yat-sen University, China. Electronic address: luoyuc@163.com. LA - eng PT - Journal Article DEP - 20210321 PL - Ireland TA - Comput Methods Programs Biomed JT - Computer methods and programs in biomedicine JID - 8506513 SB - IM MH - Humans MH - Polysomnography MH - Sleep MH - *Sleep Apnea Syndromes MH - *Sleep Apnea, Obstructive MH - Sleep Stages OTO - NOTNLM OT - EEG OT - Effective connectivity OT - Information transfer OT - Sleep apnea hypopnea syndrome OT - Symbolic transfer entropy COIS- Declaration of Competing Interest The authors declare that there are no conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome. EDAT- 2021/04/05 06:00 MHDA- 2021/05/15 06:00 CRDT- 2021/04/04 20:43 PHST- 2020/09/22 00:00 [received] PHST- 2021/03/16 00:00 [accepted] PHST- 2021/04/05 06:00 [pubmed] PHST- 2021/05/15 06:00 [medline] PHST- 2021/04/04 20:43 [entrez] AID - S0169-2607(21)00135-8 [pii] AID - 10.1016/j.cmpb.2021.106060 [doi] PST - ppublish SO - Comput Methods Programs Biomed. 2021 Jun;204:106060. doi: 10.1016/j.cmpb.2021.106060. Epub 2021 Mar 21.