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Luo Z, Yin E, Yan Y, Zhao S, Xie L, Shen H, Zeng LL, Wang L, Hu D. Sleep deprivation changes frequency-specific functional organization of the resting human brain. Brain Res Bull 2024; 210:110925. [PMID: 38493835 DOI: 10.1016/j.brainresbull.2024.110925] [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: 11/29/2023] [Revised: 02/13/2024] [Accepted: 03/10/2024] [Indexed: 03/19/2024]
Abstract
Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies have widely explored the temporal connection changes in the human brain following long-term sleep deprivation (SD). However, the frequency-specific topological properties of sleep-deprived functional networks remain virtually unclear. In this study, thirty-seven healthy male subjects underwent resting-state fMRI during rested wakefulness (RW) and after 36 hours of SD, and we examined frequency-specific spectral connection changes (0.01-0.08 Hz, interval = 0.01 Hz) caused by SD. First, we conducted a multivariate pattern analysis combining linear SVM classifiers with a robust feature selection algorithm, and the results revealed that accuracies of 74.29%-84.29% could be achieved in the classification between RW and SD states in leave-one-out cross-validation at different frequency bands, moreover, the spectral connection at the lowest and highest frequency bands exhibited higher discriminative power. Connection involving the cingulo-opercular network increased most, while connection involving the default-mode network decreased most following SD. Then we performed a graph-theoretic analysis and observed reduced low-frequency modularity and high-frequency global efficiency in the SD state. Moreover, hub regions, which were primarily situated in the cerebellum and the cingulo-opercular network after SD, exhibited high discriminative power in the aforementioned classification consistently. The findings may indicate the frequency-dependent effects of SD on the functional network topology and its efficiency of information exchange, providing new insights into the impact of SD on the human brain.
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Affiliation(s)
- Zhiguo Luo
- Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing 100071, China; Intelligent Game and Decision Laboratory, Beijing 100071, China; Tianjin Artificial Intelligence Innovation Center (TAIIC), Tianjin 300450, China; College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China
| | - Erwei Yin
- Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing 100071, China; Intelligent Game and Decision Laboratory, Beijing 100071, China; Tianjin Artificial Intelligence Innovation Center (TAIIC), Tianjin 300450, China.
| | - Ye Yan
- Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing 100071, China; Intelligent Game and Decision Laboratory, Beijing 100071, China; Tianjin Artificial Intelligence Innovation Center (TAIIC), Tianjin 300450, China
| | - Shaokai Zhao
- Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing 100071, China; Intelligent Game and Decision Laboratory, Beijing 100071, China; Tianjin Artificial Intelligence Innovation Center (TAIIC), Tianjin 300450, China
| | - Liang Xie
- Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing 100071, China; Intelligent Game and Decision Laboratory, Beijing 100071, China; Tianjin Artificial Intelligence Innovation Center (TAIIC), Tianjin 300450, China
| | - Hui Shen
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China
| | - Ling-Li Zeng
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China
| | - Lubin Wang
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing 102206, China
| | - Dewen Hu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China.
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2
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Xiang C, Fan X, Bai D, Lv K, Lei X. A resting-state EEG dataset for sleep deprivation. Sci Data 2024; 11:427. [PMID: 38658675 PMCID: PMC11043390 DOI: 10.1038/s41597-024-03268-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/16/2024] [Indexed: 04/26/2024] Open
Abstract
To investigate the impact of sleep deprivation (SD) on mood, alertness, and resting-state electroencephalogram (EEG), we present an eyes-open resting-state EEG dataset. The dataset comprises EEG recordings and cognitive data from 71 participants undergoing two testing sessions: one involving SD and the other normal sleep. In each session, participants engaged in eyes-open resting-state EEG. The Psychomotor Vigilance Task (PVT) was employed for alertness measurement. Emotional and sleepiness were measured using Positive and Negative Affect Scale (PANAS) and Stanford Sleepiness Scale (SSS). Additionally, to examine the influence of individual sleep quality and traits on SD, Pittsburgh Sleep Quality Index (PSQI) and Buss-Perry Aggression Questionnaire (BPAQ) were utilized. This dataset's sharing may contribute to open EEG measurements in the field of SD.
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Affiliation(s)
- Chuqin Xiang
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Xinrui Fan
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Duo Bai
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Ke Lv
- State Key Laboratory of Space Medicine, China Astronaut Research and Training Center, Beijing, 100094, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, 400715, China.
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Riazi H, Nazari M, Raoufy MR, Mirnajafi-Zadeh J, Shojaei A. Olfactory Epithelium Stimulation Using Rhythmic Nasal Air-Puffs Improves the Cognitive Performance of Individuals with Acute Sleep Deprivation. Brain Sci 2024; 14:378. [PMID: 38672027 PMCID: PMC11048381 DOI: 10.3390/brainsci14040378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 04/08/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
This study aimed to investigate the effects of intranasal air-puffing on cognitive impairments and brain cortical activity following one night of partial sleep deprivation (PSD) in adults. A total of 26 healthy adults underwent the numerical Stroop test (NST) and electroencephalography (EEG) before and after one night of PSD. Following PSD, subjects in the treatment group (n = 13) received nasal air-puffs (5 Hz, 3 min) before beginning the NST and EEG recording. Administration of nasal air-puffs in the treatment group restored the PSD-induced increase in error rate and decrease in reaction time and missing rate in the NST. Intranasal air-puffs recovered the PSD-induced augmentation of delta and theta power and the reduction of beta and gamma power in the EEG, particularly in the frontal lobes. Intranasal air-puffing also almost reversed the PSD-induced decrease in EEG signal complexity. Furthermore, it had a restorative effect on PSD-induced alteration in intra-default mode network functional connectivity in the beta and gamma frequency bands. Rhythmic nasal air-puffing can mitigate acute PSD-induced impairments in cognitive functions. It exerts part of its ameliorating effect by restoring neuronal activity in cortical brain areas involved in cognitive processing.
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Affiliation(s)
- Hanieh Riazi
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran 14117-13116, Iran; (H.R.); (M.R.R.); (J.M.-Z.)
| | - Milad Nazari
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark;
- Center for Proteins in Memory—PROMEMO, Danish National Research Foundation, 1057 København, Denmark
| | - Mohammad Reza Raoufy
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran 14117-13116, Iran; (H.R.); (M.R.R.); (J.M.-Z.)
- Institute for Brain and Cognition, Tarbiat Modares University, Tehran 14117-13116, Iran
| | - Javad Mirnajafi-Zadeh
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran 14117-13116, Iran; (H.R.); (M.R.R.); (J.M.-Z.)
- Institute for Brain and Cognition, Tarbiat Modares University, Tehran 14117-13116, Iran
| | - Amir Shojaei
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran 14117-13116, Iran; (H.R.); (M.R.R.); (J.M.-Z.)
- Institute for Brain and Cognition, Tarbiat Modares University, Tehran 14117-13116, Iran
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Richter CG, Li CM, Turnbull A, Haft SL, Schneider D, Luo J, Lima DP, Lin FV, Davidson RJ, Hoeft F. Brain imaging studies of emotional well-being: a scoping review. Front Psychol 2024; 14:1328523. [PMID: 38250108 PMCID: PMC10799564 DOI: 10.3389/fpsyg.2023.1328523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 12/06/2023] [Indexed: 01/23/2024] Open
Abstract
This scoping review provides an overview of previous empirical studies that used brain imaging techniques to investigate the neural correlates of emotional well-being (EWB). We compiled evidence on this topic into one accessible and usable document as a foundation for future research into the relationship between EWB and the brain. PRISMA 2020 guidelines were followed. We located relevant articles by searching five electronic databases with 95 studies meeting our inclusion criteria. We explored EWB measures, brain imaging modalities, research designs, populations studied, and approaches that are currently in use to characterize and understand EWB across the literature. Of the key concepts related to EWB, the vast majority of studies investigated positive affect and life satisfaction, followed by sense of meaning, goal pursuit, and quality of life. The majority of studies used functional MRI, followed by EEG and event-related potential-based EEG to study the neural basis of EWB (predominantly experienced affect, affective perception, reward, and emotion regulation). It is notable that positive affect and life satisfaction have been studied significantly more often than the other three aspects of EWB (i.e., sense of meaning, goal pursuit, and quality of life). Our findings suggest that future studies should investigate EWB in more diverse samples, especially in children, individuals with clinical disorders, and individuals from various geographic locations. Future directions and theoretical implications are discussed, including the need for more longitudinal studies with ecologically valid measures that incorporate multi-level approaches allowing researchers to better investigate and evaluate the relationships among behavioral, environmental, and neural factors. Systematic review registration https://osf.io/t9cf6/.
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Affiliation(s)
- Caroline G. Richter
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, United States
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
| | - Celine Mylx Li
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Adam Turnbull
- Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, United States
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Stephanie L. Haft
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Deborah Schneider
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
| | - Jie Luo
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
| | - Denise Pinheiro Lima
- Intensive Care Pediatrician, Pediatric Intensive Care Unit, Hospital Moinhos de Vento, Porto Alegre, Brazil
| | - Feng Vankee Lin
- CogT Lab, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Richard J. Davidson
- Center for Healthy Minds, University of Wisconsin, Madison, WI, United States
- Department of Psychology, University of Wisconsin, Madison, WI, United States
- Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI, United States
- Department of Psychiatry, University of Wisconsin, Madison, WI, United States
| | - Fumiko Hoeft
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
- Haskins Laboratories, New Haven, CT, United States
- Brain Imaging Research Center (BIRC), University of Connecticut, Storrs, CT, United States
- Department of Psychiatry and Behavioral Sciences, and Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, United States
- Department of Neuropsychiatry, Keio University School of Medicine, Shinanomachi Shinjuku Tokyo, Tokyo, Japan
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Su AT, Xavier G, Kuan JW. The measurement of mental fatigue following an overnight on-call duty among doctors using electroencephalogram. PLoS One 2023; 18:e0287999. [PMID: 37406016 DOI: 10.1371/journal.pone.0287999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 06/16/2023] [Indexed: 07/07/2023] Open
Abstract
This study aimed to measure the spectral power differences in the brain rhythms among a group of hospital doctors before and after an overnight on-call duty. Thirty-two healthy doctors who performed regular on-call duty in a tertiary hospital in Sarawak, Malaysia were voluntarily recruited into this study. All participants were interviewed to collect relevant background information, followed by a self-administered questionnaire using Chalder Fatigue Scale and electroencephalogram test before and after an overnight on-call duty. The average overnight sleep duration during the on-call period was 2.2 hours (p<0.001, significantly shorter than usual sleep duration) among the participants. The mean (SD) Chalder Fatigue Scale score of the participants were 10.8 (5.3) before on-call and 18.4 (6.6) after on-call (p-value < 0.001). The theta rhythm showed significant increase in spectral power globally after an overnight on-call duty, especially when measured at eye closure. In contrast, the alpha and beta rhythms showed reduction in spectral power, significantly at temporal region, at eye closure, following an overnight on-call duty. These effects are more statistically significant when we derived the respective relative theta, alpha, and beta values. The finding of this study could be useful for development of electroencephalogram screening tool to detect mental fatigue.
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Affiliation(s)
- Anselm Ting Su
- Department of Community Medicine and Public Health, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia
| | - Gregory Xavier
- Kinta District Health Office, Ministry of Health Malaysia, Malaysia
| | - Jew Win Kuan
- Department of Medicine, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia
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Rempe MP, Wiesman AI, Murman DL, May PE, Christopher-Hayes NJ, Wolfson SL, Johnson CM, Wilson TW. Sleep quality differentially modulates neural oscillations and proteinopathy in Alzheimer's disease. EBioMedicine 2023; 92:104610. [PMID: 37182265 PMCID: PMC10200835 DOI: 10.1016/j.ebiom.2023.104610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/21/2023] [Accepted: 04/25/2023] [Indexed: 05/16/2023] Open
Abstract
BACKGROUND Alterations in resting-state neural activity have been reported in people with sleep disruptions and in patients with Alzheimer's disease, but the direct impact of sleep quality on Alzheimer's disease-related neurophysiological aberrations is unclear. METHODS We collected cross-sectional resting-state magnetoencephalography and extensive neuropsychological and clinical data from 38 biomarker-confirmed patients on the Alzheimer's disease spectrum and 20 cognitively normal older control participants. Sleep efficiency was quantified using the Pittsburgh Sleep Quality Index. FINDINGS Neural activity in the delta frequency range was differentially affected by poor sleep in patients on the Alzheimer's disease spectrum. Such neural changes were related to processing speed abilities and regional amyloid accumulation, and these associations were mediated and moderated, respectively, by sleep quality. INTERPRETATION Together, our results point to a mechanistic role for sleep disturbances in the widely reported neurophysiological aberrations seen in patients on the Alzheimer's disease spectrum, with implications for basic research and clinical intervention. FUNDING National Institutes of Health, USA.
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Affiliation(s)
- Maggie P Rempe
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, 68010, USA; University of Nebraska Medical Center (UNMC), College of Medicine, Omaha, NE, 68198, USA
| | - Alex I Wiesman
- Montreal Neurological Institute, McGill University, Montreal, Quebec, H3A 0G4, Canada.
| | - Daniel L Murman
- University of Nebraska Medical Center (UNMC), College of Medicine, Omaha, NE, 68198, USA
| | - Pamela E May
- University of Nebraska Medical Center (UNMC), College of Medicine, Omaha, NE, 68198, USA
| | - Nicholas J Christopher-Hayes
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, 68010, USA; Center for Mind and Brain, University of California, Davis, CA, 95618, USA
| | - Sara L Wolfson
- University of Nebraska Medical Center (UNMC), College of Medicine, Omaha, NE, 68198, USA
| | - Craig M Johnson
- University of Nebraska Medical Center (UNMC), College of Medicine, Omaha, NE, 68198, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, 68010, USA; University of Nebraska Medical Center (UNMC), College of Medicine, Omaha, NE, 68198, USA; Department of Pharmacology and Neuroscience, Creighton University, Omaha, NE, 68178 USA
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7
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Song T, Yu K, Wang L, Xu L, Xu M, Peng Z, Dai C, Wang H, Yang T, Shao Y, Wang X, Lv J. Total Sleep Deprivation Triggers Greater Activation in the Parietal Brain in the Visual Working Memory Updating Processes: An Event-Related Potentials Study. Front Neurosci 2022; 16:736437. [PMID: 35368284 PMCID: PMC8966886 DOI: 10.3389/fnins.2022.736437] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 02/17/2022] [Indexed: 12/21/2022] Open
Abstract
Working memory functions are known to be altered after total sleep deprivation (TSD). However, few studies have explored the deficits of working memory updating (WMU) after TSD, or the underlying electrophysiological mechanisms of these alterations. In the current exploratory study, we enrolled 14 young male volunteers who performed two kinds of WMU tasks—spatial and object two-back tasks—with simultaneous electroencephalography recordings under two sleep conditions: a normal sleep baseline condition and after 36 h of TSD. Repeated-measures analysis of variance showed that compared with those at baseline, the rates of correct responses in the WMU tasks decreased significantly after TSD. Analysis of event-related potentials revealed that the average amplitude of P3 components decreased significantly in the frontal and central brain regions and increased significantly in the parietal brain regions. Our findings suggest that TSD damages WMU behavior, impairs cognitive functions in the frontal and central brain regions, and triggers greater activation in the parietal brain regions. This is the first study to report the existence of event-related compensatory neural activity. This event-related compensatory effect may provide a new perspective for understanding the mechanisms underlying the influences triggered by sleep loss.
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Affiliation(s)
- Tao Song
- School of Psychology, Beijing Sport University, Beijing, China
| | - Ke Yu
- Department of General Practice, The General Hospital of Western Theater Command, Chengdu, China
| | - Letong Wang
- School of Psychology, Beijing Sport University, Beijing, China
| | - Lin Xu
- School of Psychology, Beijing Sport University, Beijing, China
| | - Mengmeng Xu
- School of Psychology, Beijing Sport University, Beijing, China
| | - Ziyi Peng
- School of Psychology, Beijing Sport University, Beijing, China
| | - Cimin Dai
- School of Psychology, Beijing Sport University, Beijing, China
| | - Haiteng Wang
- School of Psychology, Beijing Sport University, Beijing, China
| | - Tianyi Yang
- School of Psychology, Beijing Sport University, Beijing, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing, China
- *Correspondence: Yongcong Shao,
| | - Xiaoming Wang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
- Xiaoming Wang,
| | - Jing Lv
- Department of Psychology, The Second Medical Center, Chinese PLA General Hospital, Beijing, China
- Jing Lv,
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Zhao X, Chen X, Duan W, Zhao W, Lei X. Impaired alpha rhythm in bad sleeper during nap: A high-density electroencephalogram study. J Sleep Res 2021; 31:e13419. [PMID: 34131989 DOI: 10.1111/jsr.13419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/30/2021] [Accepted: 05/14/2021] [Indexed: 11/30/2022]
Abstract
As the pace of life accelerates, poor sleep quality has become a common health problem. A wealth of sleep studies based on electroencephalogram (EEG) have found that poor sleep quality has decreased alpha rhythm during night-time sleep. However, whether the EEG rhythm during an afternoon nap has a similar impairment has seldom been investigated. By recruiting 35 subjects for a 90-min nap, we explored the relationship between sleep quality and the alpha rhythm, and the contribution of naps to subjective sleep experience. We found that the power of alpha rhythm in the occipital lobe negatively correlated with sleep quality. However, there was no correlation between the sleep quality at night and the sleep duration of the nap, nor the sleep quality and the proportion of each sleep period of a nap. Our present results indicated that the quality of night-time sleep did not affect the macrostructure of the nap. Interestingly, the negative correlation between the alpha rhythm of a nap and sleep quality at night continuously existed in Wake, N1 sleep, and N2 sleep, and had the most substantial value during N2 sleep of a nap. This implies that an impaired occipital lobe alpha rhythm is a robust biomarker for poor sleep. The research is of particular significance for developing electrical neural stimulation therapy to improve sleep quality, especially for the stimuli regions for selection and the time windows for implementation.
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Affiliation(s)
- Xiangyue Zhao
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, China
| | - Xinyuan Chen
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, China
| | - Wei Duan
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, China
| | - Wenrui Zhao
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China.,Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing, China
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