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Zhang C, Wang Y, Li M, Niu P, Li S, Hu Z, Shi C, Li Y. Phase-Amplitude Coupling in Theta and Beta Bands: A Potential Electrophysiological Marker for Obstructive Sleep Apnea. Nat Sci Sleep 2024; 16:1469-1482. [PMID: 39323903 PMCID: PMC11423842 DOI: 10.2147/nss.s470617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 09/10/2024] [Indexed: 09/27/2024] Open
Abstract
Background Phase-amplitude coupling (PAC) between the phase of low-frequency signals and the amplitude of high-frequency activities plays many physiological roles and is involved in the pathological processed of various neurological disorders. However, how low-frequency and high-frequency neural oscillations or information synchronization activities change under chronic central hypoxia in OSA patients and whether these changes are closely associated with OSA remains largely unexplored. This study arm to elucidate the long-term consequences of OSA-related oxygen deprivation on central nervous system function. Methods : We screened 521 patients who were clinically suspected of having OSA at our neurology and sleep centers. Through polysomnography (PSG) and other clinical examinations, 103 patients were ultimately included in the study and classified into mild, moderate, and severe OSA groups based on the severity of hypoxia determined by PSG. We utilized the phase-amplitude coupling (PAC) method to analyze the modulation index (MI) trends between different frequency bands during NREM (N1/N2/N3), REM, and wakefulness stages in OSA patients with varying severity levels. We also examined the correlation between the MI index and OSA hypoxia indices. Results Apart from reduced N2 sleep duration and increased microarousal index, the sleep architecture remained largely unchanged among OSA patients with varying severity levels. Compared to the mild OSA group, patients with moderate and severe OSA exhibited higher MI values of PAC in the low-frequency theta phase and high-frequency beta amplitude in the frontal and occipital regions during N1 sleep and wakefulness. No significant differences in the MI of phase-amplitude coupling were observed during N2/3 and REM sleep. Moreover, the MI of phase-amplitude coupling in theta and beta bands positively correlated with hypoxia-related indices, including the apnea-hypopnea index (AHI) and oxygenation desaturation index (ODI), and the percentage of oxygen saturation below 90% (SaO2<90%). Conclusion OSA patients demonstrated increased MI values of theta phase and beta amplitude in the frontal and occipital regions during N1 sleep and wakefulness. This suggests that cortical coupling is prevalent and exhibits sleep-stage-specific patterns in OSA. Theta-beta PAC during N1 and wakefulness was positively correlated with hypoxia-related indices, suggesting a potential relationship between these neural oscillations and OSA severity. The present study provides new insights into the relationship between neural oscillations and respiratory hypoxia in OSA patients.
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Affiliation(s)
- Chan Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, Henan, People’s Republic of China
- Henan Neurological Function Detection and Regulation Center, Zhengzhou, Henan, 450000, People’s Republic of China
| | - Yanhui Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- Henan Neurological Function Detection and Regulation Center, Zhengzhou, Henan, 450000, People’s Republic of China
- The Academy of Medical Sciences of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Mengjie Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- The Academy of Medical Sciences of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Pengpeng Niu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Shuo Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Zhuopeng Hu
- The First Bethune Clinical Medical College of Ji Lin University, Changchun, Jilin, People’s Republic of China
| | - Changhe Shi
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, Henan, People’s Republic of China
| | - Yusheng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, 450000, People’s Republic of China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, Henan, People’s Republic of China
- Henan Neurological Function Detection and Regulation Center, Zhengzhou, Henan, 450000, People’s Republic of China
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Zhao X, Liu J, Shao Z, Liu X, Wang Z, Yuan K, Zhang B, Li Y, Sheng X, Zhu Y, Guo Y. Restoration of abnormal sleep EEG power in patients with insomnia disorder after 1Hz rTMS over left DLPFC. Front Psychiatry 2024; 15:1431837. [PMID: 39319359 PMCID: PMC11419987 DOI: 10.3389/fpsyt.2024.1431837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 08/23/2024] [Indexed: 09/26/2024] Open
Abstract
Introduction Hyperarousal has been a significant pathophysiological theory related to insomnia disorder (ID), characterized by excessive cortical activation and abnormal electroencephalogram (EEG) power during daytime or sleep. However, there is currently insufficient attention to the EEG power during rapid eye movement (REM) sleep and different stages of non-rapid eye movement (NREM) sleep. Additionally, whether the abnormal sleep EEG power in ID patients can be restored by repetitive transcranial magnetic stimulation (rTMS) remains unclear. Methods> Data of 26 ID patients and 26 healthy controls (HCs) were included in the current observational study. The comparisons of relative power between patients and HCs at baseline in each band of each sleep stage and the changes in patients before and after rTMS treatment were performed. The correlations between relative power and behavioral measures of the patients were also investigated. Results Abnormalities in sleep EEG relative power in the delta, beta and gamma bands of the patients were observed in NREM2, NREM3 and REM sleep. Correlations were identified between relative power and behavioral measures in ID group, primarily encompassing sleep efficiency, sleep onset latency and depression scores. Post-treatment improvements in relative power of the delta and beta band were observed in NREM2 sleep. Discussion The relative power of sleep EEG exhibited a significant correlation with sleep measures in ID patients, and demonstrated notable differences from HCs across the delta, beta, and gamma frequency bands. Furthermore, our findings suggest that rTMS treatment may partially ameliorate relative power abnormalities in patients with ID.
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Affiliation(s)
- Xumeng Zhao
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jiayi Liu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ziqiang Shao
- School of Life Science and Technology, Xidian University, Xi'an, Shanxi, China
| | - Xiaoyang Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shanxi, China
| | - Zhen Wang
- School of Life Science and Technology, Xidian University, Xi'an, Shanxi, China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shanxi, China
| | - Bingqian Zhang
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yan Li
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiaona Sheng
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yifei Zhu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yansu Guo
- Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
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Ezedinma U, Burgess S, Nikles J, Downer T, Jones E, Metse A, Fjaagesund S, Oprescu F. The potential of repetitive transcranial magnetic stimulation for addressing sleep difficulties in children with autism - A brief communication. Sleep Med 2024; 118:78-80. [PMID: 38613860 DOI: 10.1016/j.sleep.2024.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 04/01/2024] [Accepted: 04/06/2024] [Indexed: 04/15/2024]
Abstract
Sleep difficulties can co-occur with autistic traits and have been frequently reported in children diagnosed with autism. Thus, sleep difficulties may impact neural development, cognition, and behavioural functioning in children with autism. Interventions, such as repetitive transcranial magnetic stimulation (rTMS), that target aberrant neural structures underpinning autistic traits and sleep difficulties in children could have beneficial effects. The rTMS effects on the pathophysiological pathways hypothesised to underpin autism and sleep difficulties are well-established in the literature; however, clinical evidence of its potential to improve sleep difficulties in children with autism is limited. While the preliminary data is promising, further robust rTMS studies are warranted to encourage its use in clinical practices.
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Affiliation(s)
- Uchenna Ezedinma
- University of the Sunshine Coast, Australia; Brain Treatment Centre Australia, Australia.
| | - Scott Burgess
- Queensland Children's Lung and Sleep Specialists, Australia; University of Queensland, Australia
| | | | | | - Evan Jones
- University of the Sunshine Coast, Australia; Brain Treatment Centre Australia, Australia
| | - Alexandra Metse
- University of the Sunshine Coast, Australia; School of Psychological Science, University of Newcastle, Australia
| | - Shauna Fjaagesund
- University of the Sunshine Coast, Australia; Health Developments Corporation, Australia
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Liu X, Zhao X, Shao Z, Guo Y, Yue L, Liu J, Yu D, Sheng X, Zhu Y, Yuan K. Dual roles of the amygdala-hippocampus circuit in the regulation of rapid eye movement sleep and depression symptoms by repetitive transcranial magnetic stimulation in patients with insomnia. Gen Psychiatr 2024; 37:e101183. [PMID: 38650921 PMCID: PMC11033640 DOI: 10.1136/gpsych-2023-101183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 01/22/2024] [Indexed: 04/25/2024] Open
Affiliation(s)
- Xiaoyang Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Xumeng Zhao
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Ziqiang Shao
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Yongjian Guo
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Lirong Yue
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Jiayi Liu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Dahua Yu
- Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Xiaona Sheng
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yifei Zhu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
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Shen C, Wang ZD, Qian WJ, Wu CF, Qian SR, Tang T. Bibliometric Analysis of Brain Stimulation Technologies in Sleep Disorders. Med Sci Monit 2024; 30:e942687. [PMID: 38439525 PMCID: PMC10924428 DOI: 10.12659/msm.942687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 12/17/2023] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Sleep disorders are a common disease faced by people today and can lead to fatigue, lack of concentration, impaired memory, and even death. In recent years, the development of brain stimulation techniques has provided a new perspective for the treatment of sleep disorders. However, there is a lack of bibliometric analyses related to sleep disorders and brain stimulation techniques. Therefore, this study analyzed the application status and trend of brain stimulation technology in sleep disorder research. MATERIAL AND METHODS Articles and reviews published between 1999 and 2023 were retrieved from the Web of Science. CiteSpace was used to visually analyze the publications, countries, institutions, journals, authors, references, and keywords. RESULTS A total of 459 publications were obtained. The number of studies was shown to be on a general upward trend. The country with the largest number of publications was the United States; UDICE-French Research Universities had the highest number of publications; Neurology had the highest citation frequency; 90% of the top 10 references cited were from Journal Citation Reports Q1; Brigo was the author with the highest number of publications; and the most frequent keywords were "transcranial magnetic stimulation", "deep brain stimulation", and "Parkinson disease". CONCLUSIONS Our study used CiteSpace software to analyze 459 studies published since 1999 on brain stimulation techniques for the treatment of sleep disorders, revealing research trends and the current state of the field. Our results will help researchers to understand the existing research quickly and provide direction for future research.
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Shao Z, Guo Y, Yue L, Liu X, Liu J, Zhao X, Sheng X, Yu D, Zhu Y, Yuan K. Comparisons of transcranial alternating current stimulation and repetitive transcranial magnetic stimulation treatment therapy for insomnia: a pilot study. Gen Psychiatr 2024; 37:e101184. [PMID: 38390243 PMCID: PMC10882281 DOI: 10.1136/gpsych-2023-101184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 12/18/2023] [Indexed: 02/24/2024] Open
Affiliation(s)
- Ziqiang Shao
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Yongjian Guo
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Lirong Yue
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Xiaoyang Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Jiayi Liu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Xumeng Zhao
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Xiaona Sheng
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Dahua Yu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Yifei Zhu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
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Guo Y, Zhao X, Liu X, Liu J, Li Y, Yue L, Yuan F, Zhu Y, Sheng X, Yu D, Yuan K. Electroencephalography microstates as novel functional biomarkers for insomnia disorder. Gen Psychiatr 2023; 36:e101171. [PMID: 38143715 PMCID: PMC10749048 DOI: 10.1136/gpsych-2023-101171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 11/14/2023] [Indexed: 12/26/2023] Open
Abstract
Background Insomnia disorder (ID) is one of the most common mental disorders. Research on ID focuses on exploring its mechanism of disease, novel treatments and treatment outcome prediction. An emerging technique in this field is the use of electroencephalography (EEG) microstates, which offer a new method of EEG feature extraction that incorporates information from both temporal and spatial dimensions. Aims To explore the electrophysiological mechanisms of repetitive transcranial magnetic stimulation (rTMS) for ID treatment and use baseline microstate metrics for the prediction of its efficacy. Methods This study included 60 patients with ID and 40 age-matched and gender-matched good sleep controls (GSC). Their resting-state EEG microstates were analysed, and the Pittsburgh Sleep Quality Index (PSQI) and polysomnography (PSG) were collected to assess sleep quality. The 60 patients with ID were equally divided into active and sham groups to receive rTMS for 20 days to test whether rTMS had a moderating effect on abnormal microstates in patients with ID. Furthermore, in an independent group of 90 patients with ID who received rTMS treatment, patients were divided into optimal and suboptimal groups based on their median PSQI reduction rate. Baseline EEG microstates were used to build a machine-learning predictive model for the effects of rTMS treatment. Results The class D microstate was less frequent and contribute in patients with ID, and these abnormalities were associated with sleep onset latency as measured by PSG. Additionally, the abnormalities were partially reversed to the levels observed in the GSC group following rTMS treatment. The baseline microstate characteristics could predict the therapeutic effect of ID after 20 days of rTMS, with an accuracy of 80.13%. Conclusions Our study highlights the value of EEG microstates as functional biomarkers of ID and provides a new perspective for studying the neurophysiological mechanisms of ID. In addition, we predicted the therapeutic effect of rTMS on ID based on the baseline microstates of patients with ID. This finding carries great practical significance for the selection of therapeutic options for patients with ID.
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Affiliation(s)
- Yongjian Guo
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Xumeng Zhao
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiaoyang Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Jiayi Liu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yan Li
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Lirong Yue
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
| | - Fulai Yuan
- Health Management Center, Xiangya Hospital, Central South University, Changsha, China
| | - Yifei Zhu
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xiaona Sheng
- Department of Psychosomatic Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Dahua Yu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China
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Wang H, Hou Y, Zhan S, Li N, Liu J, Song P, Wang Y, Wang H. EEG Biofeedback Decreases Theta and Beta Power While Increasing Alpha Power in Insomniacs: An Open-Label Study. Brain Sci 2023; 13:1542. [PMID: 38002502 PMCID: PMC10670123 DOI: 10.3390/brainsci13111542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/26/2023] Open
Abstract
Insomnia, often associated with anxiety and depression, is a prevalent sleep disorder. Biofeedback (BFB) treatment can help patients gain voluntary control over physiological events such as by utilizing electroencephalography (EEG) and electromyography (EMG) power. Previous studies have rarely predicted biofeedback efficacy by measuring the changes in relative EEG power; therefore, we investigated the clinical efficacy of biofeedback for insomnia and its potential neural mechanisms. We administered biofeedback to 82 patients with insomnia, of whom 68 completed 10 sessions and 14 completed 20 sessions. The average age of the participants was 49.38 ± 12.78 years, with 26 men and 56 women. Each biofeedback session consisted of 5 min of EMG and 30 min of EEG feedback, with 2 min of data recorded before and after the session. Sessions were conducted every other day, and four scale measures were taken before the first, fifth, and tenth sessions and after the twentieth session. After 20 sessions of biofeedback treatment, scores on the Pittsburgh Sleep Quality Index (PSQI) were significantly reduced compared with those before treatment (-5.5 ± 1.43,t = -3.85, p = 0.006), and scores on the Beck Depression Inventory (BDI-II) (-7.15 ± 2.43, t = -2.94, p = 0.012) and the State-Trait Anxiety Inventory (STAI) (STAI-S: -12.36 ± 3.40, t = -3.63, p = 0.003; and STAI-T: -9.86 ± 2.38, t = -4.41, p = 0.001) were significantly lower after treatment than before treatment. Beta and theta power were significantly reduced after treatment, compared with before treatment (F = 6.25, p = 0.014; and F = 11.91, p = 0.001). Alpha power was increased after treatment, compared with before treatment, but the difference was not prominently significant (p > 0.05). EMG activity was significantly decreased after treatment, compared with before treatment (F = 2.11, p = 0.015). Our findings suggest that BFB treatment based on alpha power and prefrontal EMG relieves insomnia as well as anxiety and depression and may be associated with increased alpha power, decreased beta and theta power, and decreased EMG power.
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Affiliation(s)
- Huicong Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (H.W.); (Y.H.); (S.Z.); (N.L.); (J.L.); (P.S.)
- Beijing Key Laboratory of Neuromodulation, Beijing 100053, China
- Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China
- Center for Sleep and Consciousness Disorders, Beijing Institute for Brain Disorders, Beijing 100053, China
- Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100053, China
| | - Yue Hou
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (H.W.); (Y.H.); (S.Z.); (N.L.); (J.L.); (P.S.)
- Beijing Key Laboratory of Neuromodulation, Beijing 100053, China
- Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China
- Center for Sleep and Consciousness Disorders, Beijing Institute for Brain Disorders, Beijing 100053, China
- Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100053, China
- Hebei Hospital of Xuanwu Hospital, Capital Medical University, Shijiazhuang 050030, China
- Neuromedical Technology Innovation Center of Hebei Province, Shijiazhuang 050030, China
| | - Shuqin Zhan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (H.W.); (Y.H.); (S.Z.); (N.L.); (J.L.); (P.S.)
- Beijing Key Laboratory of Neuromodulation, Beijing 100053, China
- Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China
- Center for Sleep and Consciousness Disorders, Beijing Institute for Brain Disorders, Beijing 100053, China
- Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100053, China
| | - Ning Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (H.W.); (Y.H.); (S.Z.); (N.L.); (J.L.); (P.S.)
- Beijing Key Laboratory of Neuromodulation, Beijing 100053, China
- Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China
- Center for Sleep and Consciousness Disorders, Beijing Institute for Brain Disorders, Beijing 100053, China
- Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100053, China
| | - Jianghong Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (H.W.); (Y.H.); (S.Z.); (N.L.); (J.L.); (P.S.)
- Beijing Key Laboratory of Neuromodulation, Beijing 100053, China
- Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China
- Center for Sleep and Consciousness Disorders, Beijing Institute for Brain Disorders, Beijing 100053, China
- Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100053, China
| | - Penghui Song
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (H.W.); (Y.H.); (S.Z.); (N.L.); (J.L.); (P.S.)
- Beijing Key Laboratory of Neuromodulation, Beijing 100053, China
- Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China
- Center for Sleep and Consciousness Disorders, Beijing Institute for Brain Disorders, Beijing 100053, China
- Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100053, China
| | - Yuping Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (H.W.); (Y.H.); (S.Z.); (N.L.); (J.L.); (P.S.)
- Beijing Key Laboratory of Neuromodulation, Beijing 100053, China
- Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China
- Center for Sleep and Consciousness Disorders, Beijing Institute for Brain Disorders, Beijing 100053, China
- Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100053, China
- Hebei Hospital of Xuanwu Hospital, Capital Medical University, Shijiazhuang 050030, China
- Neuromedical Technology Innovation Center of Hebei Province, Shijiazhuang 050030, China
| | - Hongxing Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; (H.W.); (Y.H.); (S.Z.); (N.L.); (J.L.); (P.S.)
- Beijing Key Laboratory of Neuromodulation, Beijing 100053, China
- Center of Epilepsy, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100053, China
- Center for Sleep and Consciousness Disorders, Beijing Institute for Brain Disorders, Beijing 100053, China
- Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing 100053, China
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