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Bai D, Fan X, Xiang C, Lei X. Altering Temporal Dynamics of Sleepiness and Mood During Sleep Deprivation: Evidence from Resting-State EEG Microstates. Brain Sci 2025; 15:423. [PMID: 40309897 PMCID: PMC12025901 DOI: 10.3390/brainsci15040423] [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: 03/14/2025] [Revised: 04/12/2025] [Accepted: 04/17/2025] [Indexed: 05/02/2025] Open
Abstract
Objective: Sleep deprivation negatively affects mood and sleepiness across subjective, objective, behavioral, and neuroimaging measures. However, the relationship between abnormal brain dynamics after sleep deprivation and mood or sleepiness impairments, from a temporal perspective, remains underexplored. Electroencephalogram microstate analysis offers a valuable approach for investigating the large-scale dynamics of brain networks. Methods: We implemented a strict sleep deprivation protocol with 71 participants, collecting resting-state electroencephalogram data, subjective sleepiness, objective alertness, and mood assessments after normal sleep and sleep deprivation (SD) conditions. Microstate time parameters were compared between sleep control (SC) and SD conditions. Additionally, we investigated how changes in these parameters correlated with subjective or objective measures of sleepiness and mood changes between SC and SD. Results: SD significantly decreased the mean duration and occurrence of microstate B while increasing those of microstate C. A decrease in microstate B occurrence significantly correlated with a higher Karolinska Sleepiness Scale score, whereas a reduction in microstate B duration indicated an increased response time on the Psychomotor Vigilance Performance. No significant associations were observed between microstate parameters and positive mood decline between SC and SD. Pearson correlation analysis was performed on the positive mood scores in both conditions. The findings demonstrated a significant positive relationship between positive mood scores and the mean duration of microstate B under SD conditions. Conclusions: Using a large SD dataset, this study demonstrated that subjective or objective sleepiness and positive mood were associated with decreased microstate B. These findings suggest that SD disrupts neural dynamics within the visual network.
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Affiliation(s)
- Duo Bai
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing 400715, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing 400715, China
| | - Xinrui Fan
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing 400715, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing 400715, China
| | - Chuqin Xiang
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing 400715, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing 400715, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing 400715, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing 400715, China
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Zhang XH, Huang HW, Zeng JY, Chen HJ, Lin YJ. The beneficial influence of night-shift napping on brain core cognition networks in nurses experiencing sleep deprivation: A preliminary resting-state fMRI study. Sleep Med 2025; 131:106503. [PMID: 40203612 DOI: 10.1016/j.sleep.2025.106503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2025] [Revised: 03/25/2025] [Accepted: 04/02/2025] [Indexed: 04/11/2025]
Abstract
PURPOSE This study investigated the restorative effects of napping on cognitive brain networks in night-shift nurses experiencing sleep deprivation (SD). METHODS Functional magnetic resonance imaging data and neurocognitive assessments were collected from 20 nurses during three sessions (rested wakefulness (RW), SD, and night-shift napping (NS-NAP)). Functional connectivity (FC) was performed in three core cognitive networks, including the default-mode network (DMN), central executive network (CEN), and salience network (SN). RESULTS The SD session showed decreased FC across almost the entire DMN, while only showed increased FC in several key nodes of the CEN and SN. Napping partially mitigated SD-related FC alterations within the DMN and essentially restored FC abnormities in both the CEN and SN. Changes in neurocognitive performance observed between SD and NS-NAP sessions were correlated with alterations in FC within the DMN. CONCLUSION The functional integration of core neurocognitive networks can be restored to varying degrees through appropriate NS-NAP practices, potentially improving neurocognitive performance in nurses experiencing SD. CLINICAL TRIAL NUMBER not applicable.
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Affiliation(s)
- Xiao-Hong Zhang
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Hui-Wei Huang
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Jing-Yi Zeng
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Hua-Jun Chen
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
| | - Yan-Juan Lin
- Department of Nursing, Fujian Medical University Union Hospital, Fuzhou, 350001, China; Department of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
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Peng L, Xu L, Zhang Z, Wang Z, Chen J, Zhong X, Wang L, Xu R, Shao Y. Effects of total sleep deprivation on functional connectivity of the anterior cingulate cortex: Insights from resting-state fMRI in healthy adult males. Int J Psychophysiol 2024; 206:112460. [PMID: 39447841 DOI: 10.1016/j.ijpsycho.2024.112460] [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: 07/05/2024] [Revised: 10/17/2024] [Accepted: 10/21/2024] [Indexed: 10/26/2024]
Abstract
Inadequate sleep significantly impacts an individual's health by compromising inhibitory control and self-regulation abilities. This study employed resting-state functional magnetic resonance imaging (fMRI) to assess the functional connectivity between the anterior cingulate cortex (ACC) and the whole brain in 16 healthy adult males after 36 h of total sleep deprivation. Additionally, this study investigated alterations in individuals' inhibitory control functions and physiological mechanisms following sleep deprivation. The results showed a significant increase in functional connectivity between the ACC, the left angular gyrus, and the right hippocampus following 36 h of continuous sleep deprivation. Conversely, functional connectivity was notably decreased between the ACC and the right insular cortex, right paracingulate gyrus, and bilateral putamen. Furthermore, changes in ACC functional connectivity were significantly correlated with alterations in behavioral performance in the go/no-go task after sleep deprivation. This study contributes to understanding brain network mechanisms in the anterior cingulate gyrus after sleep deprivation. It clarifies the relationship between functional connectivity changes in the anterior cingulate gyrus and inhibitory control post-sleep deprivation.
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Affiliation(s)
- Lei Peng
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Lin Xu
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Zheyuan Zhang
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Zexuan Wang
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Jie Chen
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xiao Zhong
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Letong Wang
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Ruiping Xu
- Guangzhou Institute of Sports Science. No 299, Tianhe Road, Tianhe District, Guangzhou 510620, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing 100084, China.
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Bai D, Hu J, Jülich S, Lei X. Impact of sleep deprivation on aperiodic activity: a resting-state EEG study. J Neurophysiol 2024; 132:1577-1588. [PMID: 39412560 DOI: 10.1152/jn.00304.2024] [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: 07/18/2024] [Revised: 09/23/2024] [Accepted: 09/27/2024] [Indexed: 11/15/2024] Open
Abstract
Sleep deprivation (SD) has been shown to have a negative impact on alertness, as evidenced by behavioral and electroencephalographic studies. Nevertheless, in prior studies utilizing conventional fixed-bandwidth spectral analysis the aperiodic and periodic components were often confused, and some important periodic parameters (i.e., center frequency, bandwidth) were ignored. Here, based on a large open-access dataset of SD, we employed a standardized process for multiple-electrode analysis and group inference. We found that, compared to the healthy sleep control state (SC), the aperiodic offset shifted overall after SD, primarily in the occipital region. This shift was associated with a reduction in subjective alertness. Regarding periodic components, we did not find any power change in the alpha rhythm, but there was an increase in bandwidth of alpha within different regions distributed in the occipital and temporal lobes. These findings highlight the potential significance and value of aperiodic parameters in behavioral and electrophysiological research.NEW & NOTEWORTHY Aperiodic and periodic components were separated in a large open-access EEG dataset of sleep deprivation. Aperiodic offsets increase after deprivation, particularly in the occipital region, reflecting a decline in self-reported vigilance. Parameterized alpha bandwidth, which was ignored in previous studies, is found to be relevant to sleep deprivation. Increase in bandwidth of alpha was focused in the occipital and temporal lobes.
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Affiliation(s)
- Duo Bai
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing, China
| | - Jingyi Hu
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing, China
| | - Simon Jülich
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing, China
| | - Xu Lei
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality (Ministry of Education), Chongqing, China
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An X, Lian J, Xu L, Peng Z, Chen S, Cheng MY, Shao Y. Changes in electroencephalography microstates are associated with reduced levels of vigilance after sleep deprivation. Brain Res 2024; 1825:148729. [PMID: 38128810 DOI: 10.1016/j.brainres.2023.148729] [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: 09/02/2023] [Revised: 11/30/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023]
Abstract
Total sleep deprivation (TSD) negatively affects cognitive functions, especially vigilance attention, but studies on vigilance changes in terms of electroencephalography (EEG) microstates after TSD are limited. This study investigates the impact of TSD on vigilance attention, EEG microstates and its relationship. Thirty healthy adult males completed a psychomotor vigilance task (PVT) before, 24 h after, and 36 h after TSD while their EEG was recorded during rest. Microstate analysis revealed significant changes in the occurrence and contribution of microstate class B after TSD. Moreover, changes in the probability of transitioning between microstate classes A and D were observed, correlating with decreased vigilance. Specifically, a positive correlation was found between transitioning from class B to class C and vigilance, while a trend of negative correlation was observed between transitioning between classes A and D and vigilance. These findings indicate abnormal activity in the salience network and dorsal attention network following sleep deprivation. TSD impairs vigilance attention, as demonstrated by the effects on EEG microstate class B and the transitions between classes A and D. The study suggests its potential as an early warning indicator for predicting vigilance attention after sleep deprivation.
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Affiliation(s)
- Xin An
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Jie Lian
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Lin Xu
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Ziyi Peng
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Shufang Chen
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Ming-Yang Cheng
- School of Psychology, Beijing Sport University, Beijing 100084, China.
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing 100084, China.
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Ma M, Li Y, Shao Y, Weng X. Effect of total sleep deprivation on effective EEG connectivity for young male in resting-state networks in different eye states. Front Neurosci 2023; 17:1204457. [PMID: 37928738 PMCID: PMC10620317 DOI: 10.3389/fnins.2023.1204457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023] Open
Abstract
Background Many studies have investigated the effect of total sleep deprivation (TSD) on resting-state functional networks, especially the default mode network (DMN) and sensorimotor network (SMN), using functional connectivity. While it is known that the activities of these networks differ based on eye state, it remains unclear how TSD affects them in different eye states. Therefore, we aimed to examine the effect of TSD on DMN and SMN in different eye states using effective functional connectivity via isolated effective coherence (iCoh) in exact low-resolution brain electromagnetic tomography (eLORETA). Methods Resting-state electroencephalogram (EEG) signals were collected from 24 male college students, and each participant completed a psychomotor vigilance task (PVT) while behavioral data were acquired. Each participant underwent 36-h TSD, and the data were acquired in two sleep-deprivation times (rested wakefulness, RW: 0 h; and TSD: 36 h) and two eye states (eyes closed, EC; and eyes open, EO). Changes in neural oscillations and effective connectivity were compared based on paired t-test. Results The behavioral results showed that PVT reaction time was significantly longer in TSD compared with that of RW. The EEG results showed that in the EO state, the activity of high-frequency bands in the DMN and SMN were enhanced compared to those of the EC state. Furthermore, when compared with the DMN and SMN of RW, in TSD, the activity of DMN was decreased, and SMN was increased. Moreover, the changed effective connectivity in the DMN and SMN after TSD was positively correlated with an increased PVT reaction time. In addition, the effective connectivity in the different network (EO-EC) of the SMN was reduced in the β band after TSD compared with that of RW. Conclusion These findings indicate that TSD impairs alertness and sensory information input in the SMN to a greater extent in an EO than in an EC state.
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Affiliation(s)
- Mengke Ma
- School of Psychology, Beijing Sport University, Beijing, China
| | - Yutong Li
- School of Psychology, Beijing Sport University, Beijing, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing, China
- Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Xiechuan Weng
- Department of Neuroscience, Beijing Institute of Basic Medical Sciences, Beijing, China
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Chen J, Gong X, Wang L, Xu M, Zhong X, Peng Z, Song T, Xu L, Lian J, Shao Y, Weng X. Altered Postcentral Connectivity after Sleep Deprivation Correlates to Impaired Risk Perception: A Resting-State Functional Magnetic Resonance Imaging Study. Brain Sci 2023; 13:brainsci13030514. [PMID: 36979324 PMCID: PMC10046171 DOI: 10.3390/brainsci13030514] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/15/2023] [Accepted: 03/16/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Previous studies revealed that sleep deprivation (SD) impairs risk perception and leads to poor decision-making efficiency. However, how risk perception is related to brain regions' communication after SD has not been elucidated. In this study, we investigated the neuropsychological mechanisms of SD-impaired risk perception. METHODS Nineteen healthy male adults were recruited and underwent resting-state functional magnetic resonance imaging during a state of rested wakefulness and after nearly 36 h of total SD. They then completed the balloon analog risk task, which was used to measure the risk perception ability of risky decision-making. Regional homogeneity (ReHo) and voxel-wise functional connectivity were used to investigate neurobiological changes caused by SD. Correlation analysis was used to investigate the relationship between changes in ReHo, function, and risk perception. RESULTS At the behavioral level, risk perception decreased after 36 h of SD. At the neural level, SD induced a significant increase in ReHo in the right postcentral gyrus and was positively correlated with risk perception changes. The functional connectivity between the right postcentral gyrus, left medial temporal gyrus, and right inferior temporal gyrus was enhanced. Critically, increased right postcentral gyrus and right inferior temporal gyrus connectivity positively correlated with changes in risk perception. CONCLUSIONS SD impairs the risk perception associated with altered postcentral connectivity. The brain requires more energy to process and integrate sensory and perceptual information after SD, which may be one possible reason for decreased risk perception ability after SD.
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Affiliation(s)
- Jie Chen
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xinxin Gong
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Letong Wang
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Mengmeng Xu
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xiao Zhong
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Ziyi Peng
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Tao Song
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Lin Xu
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Jie Lian
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing 100084, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
| | - Xiechuan Weng
- Department of Neuroscience, Beijing Institute of Basic Medical Sciences, Beijing 100850, China
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Sharma A, Feng L, Muresanu DF, Tian ZR, Lafuente JV, Buzoianu AD, Nozari A, Bryukhovetskiy I, Manzhulo I, Wiklund L, Sharma HS. Nanowired Delivery of Cerebrolysin Together with Antibodies to Amyloid Beta Peptide, Phosphorylated Tau, and Tumor Necrosis Factor Alpha Induces Superior Neuroprotection in Alzheimer's Disease Brain Pathology Exacerbated by Sleep Deprivation. ADVANCES IN NEUROBIOLOGY 2023; 32:3-53. [PMID: 37480458 DOI: 10.1007/978-3-031-32997-5_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
Sleep deprivation induces amyloid beta peptide and phosphorylated tau deposits in the brain and cerebrospinal fluid together with altered serotonin metabolism. Thus, it is likely that sleep deprivation is one of the predisposing factors in precipitating Alzheimer's disease (AD) brain pathology. Our previous studies indicate significant brain pathology following sleep deprivation or AD. Keeping these views in consideration in this review, nanodelivery of monoclonal antibodies to amyloid beta peptide (AβP), phosphorylated tau (p-tau), and tumor necrosis factor alpha (TNF-α) in sleep deprivation-induced AD is discussed based on our own investigations. Our results suggest that nanowired delivery of monoclonal antibodies to AβP with p-tau and TNF-α induces superior neuroprotection in AD caused by sleep deprivation, not reported earlier.
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Affiliation(s)
- Aruna Sharma
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Department of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden
| | - Lianyuan Feng
- Department of Neurology, Bethune International Peace Hospital, Shijiazhuang, Hebei Province, China
| | - Dafin F Muresanu
- Department Clinical Neurosciences, University of Medicine & Pharmacy, Cluj-Napoca, Romania
- "RoNeuro" Institute for Neurological Research and Diagnostic, Cluj-Napoca, Romania
| | - Z Ryan Tian
- Department Chemistry & Biochemistry, University of Arkansas, Fayetteville, AR, USA
| | - José Vicente Lafuente
- LaNCE, Department Neuroscience, University of the Basque Country (UPV/EHU), Leioa, Bizkaia, Spain
| | - Anca D Buzoianu
- Department of Clinical Pharmacology and Toxicology, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Ala Nozari
- Anesthesiology & Intensive Care, Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA
| | - Igor Bryukhovetskiy
- Department of Fundamental Medicine, School of Biomedicine, Far Eastern Federal University, Vladivostok, Russia
- Laboratory of Pharmacology, National Scientific Center of Marine Biology, Far East Branch of the Russian Academy of Sciences, Vladivostok, Russia
| | - Igor Manzhulo
- Laboratory of Pharmacology, National Scientific Center of Marine Biology, Far East Branch of the Russian Academy of Sciences, Vladivostok, Russia
| | - Lars Wiklund
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Department of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden
| | - Hari Shanker Sharma
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Department of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden.
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