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Feng S, Wu Z, Zheng S, Dong L, Jia H, Ning Y. Altered Functional Connectivity of the Thalamus Subregions Associated with Impaired Attention After Sleep Deprivation. Nat Sci Sleep 2024; 16:1109-1118. [PMID: 39100908 PMCID: PMC11296373 DOI: 10.2147/nss.s472323] [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: 05/14/2024] [Accepted: 07/22/2024] [Indexed: 08/06/2024] Open
Abstract
Objective The thalamus plays a critical role in attentional maintenance. Previous studies have revealed the dysfunction of the thalamus in attention decline after acute sleep deprivation (SD). However, the functional connectivity (FC) between the thalamus subregions and cortical regions underlying attentional impairment after acute SD remains unclear. Here, we aimed to probe the relationship between attentional function and the altered thalamocortical FC after acute SD. Methods In this study, 25 healthy participants with regular sleep conducted an attentional network test and received a resting-state fMRI scan before and after 24 hours of SD. Then, we analyzed the FC between the thalamus and cerebrum and relationships with attentional function in the enrolled subjects. Results Our results showed that the participants showed a significantly lower alerting effect, a higher executive effect, and lower accuracy after acute SD. Compared to the rested wakefulness state, we observed decreased FCs between the "somatosensory" thalamic seed and left frontal pole, right frontal pole, left middle temporal gyrus (posterior division), and right middle temporal gyrus (posterior division). Furthermore, the reduced FC between the right middle temporal gyrus and "somatosensory" thalamic seed was negatively associated with the change in orienting effect of the participants. Conclusion Our findings reveal that the disrupted FC between thalamus subregions and cortical regions may contribute to impaired attention after SD.
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Affiliation(s)
- Sitong Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Ziyao Wu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Sisi Zheng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Linrui Dong
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Hongxiao Jia
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
| | - Yanzhe Ning
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People’s Republic of China
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Wang K, Liu J, Xie J, Yong Z, Li H, Wang L, Xia N, Bai T, Wang H, Wang L. Sleep deprivation from mid-gestation leads to impaired of motor coordination in young offspring mice with microglia activation in the cerebellar vermis. Sleep Med 2024; 115:193-201. [PMID: 38367362 DOI: 10.1016/j.sleep.2024.02.020] [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: 10/23/2023] [Revised: 02/04/2024] [Accepted: 02/11/2024] [Indexed: 02/19/2024]
Abstract
OBJECTIVE To investigate the effects of mid-pregnancy sleep deprivation (SD) in C57BL/6 J mice on the motor coordination of the offspring and to explore the potential mechanism of microglia activation in the cerebellar vermis of the offspring involved in the induction of impaired motor coordination development. METHODS C57BL/6 J pregnant mice were randomly divided into the SD and control groups. SD was implemented by the multi-platform method from first day of the middle pregnancy (gestation day 8, GD8). At postnatal day 21 (PND21), we measured the development of motor behavior and collected cerebellar vermis tissues to observe the activation of microglia by H&E staining, the expression of microglia-specific markers ionized calcium-binding adaptor molecule-1 (Iba-1) and cluster of differentiation 68 (CD68) by immunohistochemical, and interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-10 (IL-10), and tumor necrosis factor -α (TNF-α) by real-time quantitative PCR (RT-qPCR). RESULTS In the offspring of SD group, comparing to the control group, the total time of passage and the reverse crawl distance in the balance beam test, and the frequency of falls from the suspension cord was increased; with lower max rotational speed and shorter duration in the rotarod experiment. Further, we found that the microglia of cerebellar vermis tissues emerged an amoeba-like activation. The mean gray value of Iba-1 was lower, the density of positive cells of CD68 and the expression levels of IL-6 and TNF-α were increased. CONCLUSIONS The motor coordination of offspring is impaired, accompanying a SD from mid-pregnancy, and the cerebellar vermis showed microglia activation and pro-inflammatory response. It suggested the adverse effects of SD from mid-gestation on the development of motor coordination through the inflammatory response in the cerebellar vermis of the offspring.
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Affiliation(s)
- Kai Wang
- Department of Child and Adolescent Health, School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
| | - Jin Liu
- Department of Child and Adolescent Health, School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
| | - Jialin Xie
- Department of Pathology, First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
| | - Zhongtian Yong
- Department of Child and Adolescent Health, School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
| | - Han Li
- Department of Child and Adolescent Health, School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
| | - Liyan Wang
- Department of Basic Medicine, Fenyang College of Shanxi Medical University, Luliang, 032299, China.
| | - Na Xia
- Department of Environmental Health, School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
| | - Tao Bai
- Department of Pathology, First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
| | - Hongxing Wang
- Division of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, 100053 China; Beijing Institute of Brain Disorders, Beijing, 100069, China; Institute of Special Medical Sciences, School of Forensic Medicine, Shanxi Medical University, Taiyuan, 030001, China.
| | - Li Wang
- Department of Child and Adolescent Health, School of Public Health, Shanxi Medical University, Taiyuan, 030001, China; Key Laboratory of Coal Environmental Pathogenicity and Prevention, Ministry of Education, Shanxi Medical University, Taiyuan, 030001, China; Center for Early Childhood Development, Shanxi Medical University, Taiyuan, 030001, China.
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Kim J, Lee HJ, Lee DA, Park KM. Cerebellar volumes and the intrinsic cerebellar network in patients with obstructive sleep apnea. Sleep Breath 2024; 28:301-309. [PMID: 37710027 DOI: 10.1007/s11325-023-02916-y] [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: 04/15/2023] [Revised: 08/28/2023] [Accepted: 09/04/2023] [Indexed: 09/16/2023]
Abstract
PURPOSE This research aimed to explore changes in both cerebellar volume and the intrinsic cerebellar network in patients with obstructive sleep apnea (OSA). METHODS Newly diagnosed OSA patients and healthy controls were included in the study. All participants underwent three-dimensional T1-weighted imaging using a 3-T MRI scanner. Cerebellar volumes, both overall and subdivided, were quantified using the ACAPULCO program. The intrinsic cerebellar network was assessed using the BRAPH program, which applied graph theory to the cerebellar volume subdivision. Comparisons were drawn between the patients with OSA and healthy controls. RESULTS The study revealed that the 26 patients with OSA exhibited a notably lower total cerebellar volume compared to the 28 healthy controls (8.330 vs. 9.068%, p < 0.001). The volume of the left lobule VIIB was reduced in patients with OSA compared to healthy controls (0.339 vs. 0.407%, p = 0.001). Among patients with OSA, there was a negative correlation between the volume of the left lobule X and apnea-hypopnea index during non-rapid eye movement sleep (r = - 0.536, p = 0.005). However, no significant differences were observed in the intrinsic cerebellar network between patients and healthy controls. CONCLUSION This study established that patients with OSA exhibited decreased total cerebellar volumes and particularly reduced volumes in subdivisions such as the left lobule VIIB compared to healthy controls. These findings suggest potential involvement of the cerebellum in the underlying mechanisms of OSA.
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Affiliation(s)
- Jinseung Kim
- Department of Family Medicine, Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Ho-Joon Lee
- Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Dong Ah Lee
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-Ro 875, Haeundae-Gu, 48108, Busan, Republic of Korea
| | - Kang Min Park
- Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-Ro 875, Haeundae-Gu, 48108, Busan, Republic of Korea.
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Tan Z, Zeng Q, Hu X, Di D, Chen L, Lin Z, Cheng G. Altered dynamic functional network connectivity in drug-naïve Parkinson's disease patients with excessive daytime sleepiness. Front Aging Neurosci 2023; 15:1282962. [PMID: 38125809 PMCID: PMC10731041 DOI: 10.3389/fnagi.2023.1282962] [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: 08/25/2023] [Accepted: 11/23/2023] [Indexed: 12/23/2023] Open
Abstract
Background Excessive daytime sleepiness (EDS) is a frequent nonmotor symptoms of Parkinson's disease (PD), which seriously affects the quality of life of PD patients and exacerbates other nonmotor symptoms. Previous studies have used static analyses of these resting-state functional magnetic resonance imaging (rs-fMRI) data were measured under the assumption that the intrinsic fluctuations during MRI scans are stationary. However, dynamic functional network connectivity (dFNC) analysis captures time-varying connectivity over short time scales and may reveal complex functional tissues in the brain. Purpose To identify dynamic functional connectivity characteristics in PD-EDS patients in order to explain the underlying neuropathological mechanisms. Methods Based on rs-fMRI data from 16 PD patients with EDS and 41 PD patients without EDS, we applied the sliding window approach, k-means clustering and independent component analysis to estimate the inherent dynamic connectivity states associated with EDS in PD patients and investigated the differences between groups. Furthermore, to assess the correlations between the altered temporal properties and the Epworth sleepiness scale (ESS) scores. Results We found four distinct functional connectivity states in PD patients. The patients in the PD-EDS group showed increased fractional time and mean dwell time in state IV, which was characterized by strong connectivity in the sensorimotor (SMN) and visual (VIS) networks, and reduced fractional time in state I, which was characterized by strong positive connectivity intranetwork of the default mode network (DMN) and VIS, while negative connectivity internetwork between the DMN and VIS. Moreover, the ESS scores were positively correlated with fraction time in state IV. Conclusion Our results indicated that the strong connectivity within and between the SMN and VIS was characteristic of EDS in PD patients, which may be a potential marker of pathophysiological features related to EDS in PD patients.
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Affiliation(s)
- Zhiyi Tan
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Qiaoling Zeng
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Xuehan Hu
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Duoduo Di
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Lele Chen
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Zhijian Lin
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Guanxun Cheng
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
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梁 心, 侯 紫, 陈 蕾, 王 宇, 华 可, 孙 一. [Effect of Sleep Deprivation on the Metabolism of Hippocampal Amino Acids and Monoamine Neurotransmitters in Mice and Their Behaviors]. SICHUAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF SICHUAN UNIVERSITY. MEDICAL SCIENCE EDITION 2023; 54:1139-1145. [PMID: 38162057 PMCID: PMC10752789 DOI: 10.12182/20231160203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Indexed: 01/03/2024]
Abstract
Objective To investigate the effect of sleep deprivation on the metabolism of the hippocampal region in mice. Methods The mice were randomly assigned to three groups, a control group, a 24-h sleep deprivation (SD) group, and a 48-h SD group. Each group had 10 mice. The sleep deprivation model was induced by the modified multiple platform method. The mice's anxiety-like behaviors were assessed with the open field test (OFT) and their depression-like behaviors were assessed with the sucrose preference test (SPT), the forced swimming test (FST), and tail suspension test (TST). High performance liquid chromatography (HPLC) was performed to determine the levels of 6 monoamine neurotransmitters, including 5-hydroxytryptamine (5-HT), norepinephrine (NE), dopamine (DA), gamma-aminobutyric acid (GABA), 5-dihydroxyphenylacetic acid (5-DOPAC), and homovanillic acid (HVA), and 4 amino acids, including glutamic acid (Glu), aspartic acid (Asp), serine (Ser), and taurine (Tau), in the hippocampal region. Immunofluorescence staining was performed to examine the expression of glial cells in the hippocampal region of the mice. The main indicators measured were the levels of monoamine neurotransmitters and amino acids. Results According to the results of the behavioral analysis, in comparison with the findings for the control group, the 24-h SD mice exhibited increased consumption of sucrose in SFT, significantly decreased total immobility time in FST and TST, and increased total distance covered in OFT, while the 48-h SD mice showed decreased consumption of sucrose in SFT, prolonged total immobility time in FST and TST, and decreased total distance covered in OFT. The results of the HPLC analysis of the monoamine neurotransmitter showed that 24-h SD mice had in their hippocampal region increased levels of DA (P<0.001) and NE (P<0.01) and decreased levels of GABA (P<0.05) in comparison with those of the control mice, while their 5-HT, 5-DOPAC, and HVA levels were not significantly different from those of the control mice. In comparison with those of the control mice, the 48-h SD mice had, in their hippocampal region, decreased levels of 5-HT and NE (all P<0.05), decreased DA (P<0.01), and increased level of GABA (P<0.01), while the levels of 5-DOPAC and HAV were not significantly different. The 48-h SD group showed a significant decrease in the levels of Tau and Glu in comparison with those of the 24-h SD group (all P<0.05). According to the results of immunofluorescence assay, there was no significant difference between the control group and the 24-h SD group in the cell count of glial fibrillary acidic protein (GFAP)-positive cells, while a decline in GFAP-positive cells in comparison with that of the control group was observed in the 48-h SD group. Conclusion SD of 24 hours may induce anxiety-like behavioral changes in mice by activating their hippocampal glial cells, upregulating the levels of 5-HT, DA, and NE, and increasing the levels of Glu and Tau in the hippocampal region. SD of 48 hours may induce depression-like behavioral changes in mice by inhibiting the activation of glial cells in the hippocampal region and regulating in the opposite direction the levels of the above-mentioned monoamine neurotransmitters and amino acids in the hippocampal region.
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Affiliation(s)
- 心 梁
- 蚌埠医学院 第一附属医院 药剂科 (蚌埠 233004)Department of Pharmacy, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
- 蚌埠医学院药学院 药剂教研室 (蚌埠 233004)Department of Pharmaceutics, Bengbu Medical College, Bengbu 233004, China
| | - 紫薇 侯
- 蚌埠医学院 第一附属医院 药剂科 (蚌埠 233004)Department of Pharmacy, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - 蕾 陈
- 蚌埠医学院 第一附属医院 药剂科 (蚌埠 233004)Department of Pharmacy, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - 宇涵 王
- 蚌埠医学院 第一附属医院 药剂科 (蚌埠 233004)Department of Pharmacy, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - 可秀 华
- 蚌埠医学院 第一附属医院 药剂科 (蚌埠 233004)Department of Pharmacy, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - 一鸣 孙
- 蚌埠医学院 第一附属医院 药剂科 (蚌埠 233004)Department of Pharmacy, The First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
- 蚌埠医学院药学院 药剂教研室 (蚌埠 233004)Department of Pharmaceutics, Bengbu Medical College, Bengbu 233004, China
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Chen H, Wang C, Bai J, Song J, Bu L, Liang M, Suo H. Targeting microbiota to alleviate the harm caused by sleep deprivation. Microbiol Res 2023; 275:127467. [PMID: 37549451 DOI: 10.1016/j.micres.2023.127467] [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: 06/19/2023] [Revised: 07/23/2023] [Accepted: 07/27/2023] [Indexed: 08/09/2023]
Abstract
Sleep deprivation has become a common health hazard, affecting 37-58% of the population and promoting the occurrence and development of many diseases. To date, effective treatment strategies are still elusive. Accumulating evidence indicates that modulating the intestinal microbiota harbors significant potential for alleviating the deleterious impacts of sleep deprivation. This paper first reviews the effects of sleep deprivation on gastrointestinal diseases, metabolic diseases, and neuropsychiatric diseases, discussing its specific mechanisms of influence. We then focus on summarizing existing interventions, including probiotics, melatonin, prebiotics, diet, and fecal microbiota transplantation (FMT). Finally, we have discussed the advantages and limitations of each strategy. Compared with other strategies, probiotics showed a high potential in alleviating sleep deprivation-related hazards due to their reduced risk and high security. We suggest that future research should focus on the specific mechanisms by which probiotics mitigate the harms of sleep deprivation, such insights may unveil novel pathways for treating diseases exacerbated by insufficient sleep.
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Affiliation(s)
- Hongyu Chen
- College of Food Science, Southwest University, Chongqing 400715, China
| | - Chen Wang
- College of Food Science, Southwest University, Chongqing 400715, China; Food Industry Innovation Research Institute of Modern Sichuan Cuisine & Chongqing Flavor, Chongqing 400715, China
| | - Junying Bai
- Citrus Research Institute, National Citrus Engineering Research Center, Southwest University, Chongqing 400715, China
| | - Jiajia Song
- College of Food Science, Southwest University, Chongqing 400715, China; Food Industry Innovation Research Institute of Modern Sichuan Cuisine & Chongqing Flavor, Chongqing 400715, China
| | - Linli Bu
- College of Food Science, Southwest University, Chongqing 400715, China
| | - Ming Liang
- College of Food Science, Southwest University, Chongqing 400715, China
| | - Huayi Suo
- College of Food Science, Southwest University, Chongqing 400715, China; Food Industry Innovation Research Institute of Modern Sichuan Cuisine & Chongqing Flavor, Chongqing 400715, China.
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Zheng JH, Ma JJ, Sun WH, Wang ZD, Chang QQ, Dong LR, Shi XX, Li MJ. Excessive Daytime Sleepiness in Parkinson's Disease is Related to Functional Abnormalities in the Left Angular Gyrus. Clin Neuroradiol 2023; 33:121-127. [PMID: 35768695 DOI: 10.1007/s00062-022-01190-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 06/14/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE Excessive daytime sleepiness (EDS) is a common non-motor symptom in Parkinson's disease (PD), but its neuropathology remains elusive. Our goal is to explore the potential neural substrates of EDS in a large sample of individuals with PD. METHODS We recruited 48 PD patients with and 87 PD patients without EDS. We used resting-state functional magnetic resonance imaging to compare amplitudes of low-frequency fluctuations (ALFF) between the two groups. We also explored functional connectivity (FC) between the entire brain and regions where ALFF differed between the two groups as well as FC between selected regions of interest. Age, Part III of the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS-III) score and use of dopamine receptor agonists were treated as covariates in the comparisons. RESULTS EDS was associated with significantly lower ALFF in the left angular gyrus, and ALFF in this region correlated negatively with score on the Epworth Sleepiness Scale in patients with PD. EDS was also associated with significantly lower FC between the left angular gyrus and right cerebellum, based on seed-to-voxel and inter-ROI analyses. CONCLUSION Our results suggest that EDS in PD patients is associated with reduced spontaneous neural activity in the left angular gyrus and with reduced FC between the left angular gyrus and cerebellum. These findings may help understand and treat EDS in PD.
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Affiliation(s)
- Jin Hua Zheng
- Department of Neurology, Henan Provincial People's Hospital, 450003, Zhengzhou, Henan Province, China.,Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.,Department of Neurology, People's Hospital of Henan University, Henan Province, Zhengzhou, China
| | - Jian Jun Ma
- Department of Neurology, Henan Provincial People's Hospital, 450003, Zhengzhou, Henan Province, China. .,Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, China. .,Department of Neurology, People's Hospital of Henan University, Henan Province, Zhengzhou, China.
| | - Wen Hua Sun
- Department of Neurology, Henan Provincial People's Hospital, 450003, Zhengzhou, Henan Province, China.,Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Zhi Dong Wang
- Department of Neurology, Henan Provincial People's Hospital, 450003, Zhengzhou, Henan Province, China.,Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Qing Qing Chang
- Department of Neurology, Henan Provincial People's Hospital, 450003, Zhengzhou, Henan Province, China.,Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Lin Rui Dong
- Department of Neurology, Henan Provincial People's Hospital, 450003, Zhengzhou, Henan Province, China.,Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Xiao Xue Shi
- Department of Neurology, Henan Provincial People's Hospital, 450003, Zhengzhou, Henan Province, China.,Department of Neurology, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Ming Jian Li
- Department of Neurology, Henan Provincial People's Hospital, 450003, Zhengzhou, Henan Province, China.,Department of Neurology, People's Hospital of Henan University, Henan Province, Zhengzhou, China
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朱 玥, 龚 姝. [Research Progress in the Effect of Sleep Deprivation on Working Memory and Its Mechanisms]. SICHUAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF SICHUAN UNIVERSITY. MEDICAL SCIENCE EDITION 2023; 54:240-245. [PMID: 36949679 PMCID: PMC10409174 DOI: 10.12182/20230260304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Indexed: 03/24/2023]
Abstract
The incidence of sleep deprivation is increasing year by year and people are also paying more attention to the effects of sleep deprivation on the human body and on cognition. In addition, working memory is the foundation of many advanced cognitive functions. Therefore, we reviewed, herein, the relevant research literature on the influence of sleep deprivation on working memory, the relevant influencing factors, and possible mechanisms of action, intending to acquire a more thorough understanding of the effects of sleep deprivation on working memory and to provide evidence for scientific and sound strategies of sleep.
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Affiliation(s)
- 玥 朱
- 四川大学华西护理学院/四川大学华西医院 心脏大血管外科 (成都 610041)West China School of Nursing, Sichuan University/Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - 姝 龚
- 四川大学华西护理学院/四川大学华西医院 心脏大血管外科 (成都 610041)West China School of Nursing, Sichuan University/Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
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9
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Wu Y, Lei Y, Chen P, Hu G, Lin B, Zhang C, Wu X, Wang L. Dissociable brainstem functional connectivity changes correlate with objective and subjective vigilance decline after total sleep deprivation in healthy male subjects. J Neurosci Res 2023; 101:1044-1057. [PMID: 36827444 DOI: 10.1002/jnr.25182] [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: 08/04/2022] [Revised: 01/15/2023] [Accepted: 02/07/2023] [Indexed: 02/26/2023]
Abstract
The maintenance of vigilance relies on the activation of the cerebral cortex by the arousal system centered on the brainstem. Previous studies have suggested that both objective and subjective vigilance are susceptible to sleep deprivation. This study aims to explore the alterations in brainstem arousal system functional connectivity (FC) and its involvement in these two types of vigilance decline following total sleep deprivation (TSD). Thirty-seven healthy male subjects underwent two counterbalanced resting-state fMRI scans, once in rested wakefulness (RW) and once after 36 h of TSD. The pontine tegmental area and caudal midbrain (PTA-cMidbrain), the core regions of the brainstem arousal system, were chosen as the seeds for FC analysis. The difference in PTA-cMidbrain FC between RW and TSD conditions was then investigated, as well as its associations with objective vigilance measured by psychomotor vigilance task (PVT) and subjective vigilance measured by Stanford Sleepiness Scale. The sleep-deprived subjects showed increased PTA-cMidbrain FC with the thalamus and cerebellum and decreased PTA-cMidbrain FC with the occipital, parietal, and sensorimotor regions. TSD-induced increases in PVT reaction time were negatively correlated with altered PTA-cMidbrain FC in the dorsolateral prefrontal cortex, extrastriate visual cortex, and precuneus. TSD-induced increases in subjective sleepiness were positively correlated with altered PTA-cMidbrain FC in default mode regions including the medial prefrontal cortex and precuneus. Our results suggest that different brainstem FC patterns underlie the objective and subjective vigilance declines induced by TSD.
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Affiliation(s)
- Yuxin Wu
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Yu Lei
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Pinhong Chen
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Gang Hu
- Department of Radiology, Seventh Medical Center of the Chinese PLA General Hospital, Beijing, China
| | - Bei Lin
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Chaoyue Zhang
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
| | - Xinhuai Wu
- Department of Radiology, Seventh Medical Center of the Chinese PLA General Hospital, Beijing, China
| | - Lubin Wang
- The Brain Science Center, Beijing Institute of Basic Medical Sciences, Beijing, China
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10
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Sahu M, Tripathi R, Jha NK, Jha SK, Ambasta RK, Kumar P. Cross talk mechanism of disturbed sleep patterns in neurological and psychological disorders. Neurosci Biobehav Rev 2022; 140:104767. [PMID: 35811007 DOI: 10.1016/j.neubiorev.2022.104767] [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: 04/29/2022] [Revised: 06/20/2022] [Accepted: 07/01/2022] [Indexed: 11/25/2022]
Abstract
The incidence and prevalence of sleep disorders continue to increase in the elderly populace, particularly those suffering from neurodegenerative and neuropsychiatric disorders. This not only affects the quality of life but also accelerates the progression of the disease. There are many reasons behind sleep disturbances in such patients, for instance, medication use, nocturia, obesity, environmental factors, nocturnal motor disturbances and depressive symptoms. This review focuses on the mechanism and effects of sleep dysfunction in neurodegenerative and neuropsychiatric disorders. Wherein we discuss disturbed circadian rhythm, signaling cascade and regulation of genes during sleep deprivation. Moreover, we explain the perturbation in brainwaves during disturbed sleep and the ocular perspective of neurodegenerative and neuropsychiatric manifestations in sleep disorders. Further, as the pharmacological approach is often futile and carries side effects, therefore, the non-pharmacological approach opens newer possibilities to treat these disorders and widens the landscape of treatment options for patients.
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Affiliation(s)
- Mehar Sahu
- Molecular Neuroscience and Functional Genomics Laboratory, Delhi Technological University (Formerly Delhi College of Engineering), Delhi, India
| | - Rahul Tripathi
- Molecular Neuroscience and Functional Genomics Laboratory, Delhi Technological University (Formerly Delhi College of Engineering), Delhi, India
| | - Niraj Kumar Jha
- Department of Biotechnology, School of Engineering & Technology (SET) Sharda University, UP, India
| | - Saurabh Kumar Jha
- Department of Biotechnology, School of Engineering & Technology (SET) Sharda University, UP, India.
| | - Rashmi K Ambasta
- Molecular Neuroscience and Functional Genomics Laboratory, Delhi Technological University (Formerly Delhi College of Engineering), Delhi, India
| | - Pravir Kumar
- Molecular Neuroscience and Functional Genomics Laboratory, Delhi Technological University (Formerly Delhi College of Engineering), Delhi, India.
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11
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Mai Z, Li M, Pan L, Ma N. Temporal fluctuations in vigilance and neural networks after sleep deprivation. Eur J Neurosci 2022; 55:1947-1960. [PMID: 35388523 DOI: 10.1111/ejn.15663] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 03/11/2022] [Accepted: 03/29/2022] [Indexed: 11/29/2022]
Abstract
Vigilance instability in the sleep-deprived state was deemed to result from the imbalance in thalamic-FPN-DMN circuits (FPN: frontoparietal network; DMN: default mode network), but the behavioral correlation of this neural hypothesis is still unclear. To address this issue, we applied dynamic functional connectivity (DFC) analysis on the task-based fMRI data and detected high arousal state (HAS) and low arousal state (LAS). Relative to HAS, LAS demonstrated higher positive connectivity within task-positive networks (TPN), attenuated TPN-DMN anti-correlation, and greater anti-correlation between cerebral and subcortico-cerebellar networks. Critically, DFC differences between HAS and LAS were correlated with the ongoing vigilance performance in the sleep-deprived state. The current findings confirmed a direct link between vigilance instability and DFC in the thalamic-FPN-DMN circuits. In particular, we postulated that the integration within task-related system and segregation between task-related system and the subcortico-cerebellar system might be the critical neural markers underlying vigilance instability in the sleep-deprived state.
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Affiliation(s)
- Zifeng Mai
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Mingzhu Li
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Leyao Pan
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Ning Ma
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
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12
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Park HR, Cha J, Joo EY, Kim H. Altered cerebrocerebellar functional connectivity in patients with obstructive sleep apnea and its association with cognitive function. Sleep 2021; 45:6357664. [PMID: 34432059 DOI: 10.1093/sleep/zsab209] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 07/19/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES Previous functional MRI studies have reported altered brain networks in patients with obstructive sleep apnea (OSA). However, the extent and pattern of abnormal connectivity were inconsistent across studies, and cerebrocerebellar connections have been rarely assessed. We investigated functional network changes in cerebral and cerebellar cortices of OSA patients. METHODS Resting-state functional MRI, polysomnography and neuropsychological (NP) test data were acquired from 74 OSA patients (age: 45.8±10.7 years) and 33 healthy subjects (39.6±9.3 years). Connectivity matrices were extracted by computing correlation coefficients from various ROIs, and Fisher r-to-z transformations. In the functional connections that showed significant group differences, linear regression was conducted to examine the association between connectivity and clinical characteristics. RESULTS Patients with OSA showed reduced functional connectivity (FC) in cerebrocerebellar connections linking different functional networks, and greater FC in cortical between-network connections in prefrontal regions involving the default mode network and the control network. For OSA group, we found no correlation between FC and sleep parameters including lowest SaO2 and arousal index in the connections where significant associations were observed in healthy subjects. FC changes in default mode network (DMN) areas were related to reduced verbal fluency in OSA. Lower local efficiency and lower clustering coefficient of the salience network in the left cerebellum were also observed in OSA. CONCLUSIONS OSA affects mainly the cerebrocerebellar pathway. The disruption of function in these connections are related to sleep fragmentation and hypoxia during sleep. These abnormal network functions, especially DMN, are suggested to participate in cognitive decline of OSA.
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Affiliation(s)
- Hea Ree Park
- Department of Neurology, Inje University College of Medicine, Ilsan Paik Hospital, Goyang, Republic of Korea
| | - Jungho Cha
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eun Yeon Joo
- Department of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hosung Kim
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
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13
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Zhang C, Lai Y, Li J, He N, Liu Y, Li Y, Li H, Wei H, Yan F, Horn A, Li D, Sun B. Subthalamic and Pallidal Stimulations in Patients with Parkinson's Disease: Common and Dissociable Connections. Ann Neurol 2021; 90:670-682. [PMID: 34390280 PMCID: PMC9292442 DOI: 10.1002/ana.26199] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 08/10/2021] [Accepted: 08/12/2021] [Indexed: 12/25/2022]
Abstract
OBJECTIVE The subthalamic nucleus (STN) and internal globus pallidus (GPi) are the most effective targets in deep brain stimulation (DBS) for Parkinson's disease (PD). However, the common and specific effects on brain connectivity of stimulating the 2 nuclei remain unclear. METHODS Patients with PD receiving STN-DBS (n = 27, 6 women, mean age 64.8 years) or GPi-DBS (n = 28, 13 women, mean age 64.6 years) were recruited for resting-state functional magnetic resonance imaging to assess the effects of STN-DBS and GPi-DBS on brain functional dynamics. RESULTS The functional connectivity both between the somatosensory-motor cortices and thalamus, and between the somatosensory-motor cortices and cerebellum decreased in the DBS-on state compared with the off state (p < 0.05). The changes in thalamocortical connectivity correlated with DBS-induced motor improvement (p < 0.05) and were negatively correlated with the normalized intersection volume of tissues activated at both DBS targets (p < 0.05). STN-DBS modulated functional connectivity among a wider range of brain areas than GPi-DBS (p = 0.009). Notably, only STN-DBS affected connectivity between the postcentral gyrus and cerebellar vermis (p < 0.001) and between the somatomotor and visual networks (p < 0.001). INTERPRETATION Our findings highlight common alterations in the motor pathway and its relationship with the motor improvement induced by both STN- and GPi-DBS. The effects on cortico-cerebellar and somatomotor-visual functional connectivity differed between groups, suggesting differentiated neural modulation of the 2 target sites. Our results provide mechanistic insight and yield the potential to refine target selection strategies for focal brain stimulation in PD. ANN NEUROL 2021.
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Affiliation(s)
- Chencheng Zhang
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Research Center for Brain Science and Brain-Inspired Intelligence, Shanghai, China.,Department of Anatomy and Physiology, Collaborative Innovation Centre for Brain Science, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yijie Lai
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Li
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,School of Information Science and Technology, Shanghai Tech University, Shanghai, China
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Liu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongyang Li
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongjiang Wei
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.,Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Andreas Horn
- Department of Neurology, Movement Disorders and Neuromodulation Section, Charité - University Medicine Berlin, Berlin, Germany
| | - Dianyou Li
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bomin Sun
- Department of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Center for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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14
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Cai Y, Mai Z, Li M, Zhou X, Ma N. Altered frontal connectivity after sleep deprivation predicts sustained attentional impairment: A resting-state functional magnetic resonance imaging study. J Sleep Res 2021; 30:e13329. [PMID: 33686744 DOI: 10.1111/jsr.13329] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 12/25/2020] [Accepted: 02/16/2021] [Indexed: 11/28/2022]
Abstract
A series of studies have shown that sleep loss impairs one's capability for sustained attention. However, the underlying neurobiological mechanism linking sleep loss with sustained attention has not been elucidated. The present study aimed to investigate the effect of sleep deprivation on the resting-state brain and explored whether the magnitude of vigilance impairment after acute sleep deprivation can be predicted by measures of spontaneous fluctuations and functional connectivity. We implemented resting-state functional magnetic resonance imaging with 42 participants under both normal sleep and 24-hr sleep-deprivation conditions. The amplitude of low-frequency fluctuations (ALFF) and functional connectivity was used to investigate the neurobiological change caused by sleep deprivation, and the psychomotor vigilance task (PVT) was used to measure sustained attention in each state. Correlation analysis was used to investigate the relationship between the change in ALFF/functional connectivity and vigilance performance. Sleep deprivation induced significant reductions in ALFF in default mode network nodes and frontal-parietal network nodes, while inducing significant increments of ALFF in the bilateral thalamus, motor cortex, and visual cortex. The increased ALFF in the visual cortex was correlated with increased PVT lapses. Critically, decreased frontal-thalamus connectivity was correlated with increased PVT lapses, while increased frontal-visual connectivity was correlated with increased PVT lapses. The findings indicated that acute sleep deprivation induced a robust alteration in the resting brain, and sustained attentional impairment after sleep deprivation could be predicted by altered frontal connectivity with crucial neural nodes of stimulus input, such as the thalamus and visual cortex.
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Affiliation(s)
- Ye Cai
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Zifeng Mai
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Mingzhu Li
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
| | - Xiaolin Zhou
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Ning Ma
- Key Laboratory of Brain, Cognition and Education Sciences (Ministry of Education), Center for Sleep Research, Center for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health & Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China
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15
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Sleep Deprivation and Neurological Disorders. BIOMED RESEARCH INTERNATIONAL 2020; 2020:5764017. [PMID: 33381558 PMCID: PMC7755475 DOI: 10.1155/2020/5764017] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 11/10/2020] [Indexed: 12/15/2022]
Abstract
Sleep plays an important role in maintaining neuronal circuitry, signalling and helps maintain overall health and wellbeing. Sleep deprivation (SD) disturbs the circadian physiology and exerts a negative impact on brain and behavioural functions. SD impairs the cellular clearance of misfolded neurotoxin proteins like α-synuclein, amyloid-β, and tau which are involved in major neurodegenerative diseases like Alzheimer's disease and Parkinson's disease. In addition, SD is also shown to affect the glymphatic system, a glial-dependent metabolic waste clearance pathway, causing accumulation of misfolded faulty proteins in synaptic compartments resulting in cognitive decline. Also, SD affects the immunological and redox system resulting in neuroinflammation and oxidative stress. Hence, it is important to understand the molecular and biochemical alterations that are the causative factors leading to these pathophysiological effects on the neuronal system. This review is an attempt in this direction. It provides up-to-date information on the alterations in the key processes, pathways, and proteins that are negatively affected by SD and become reasons for neurological disorders over a prolonged period of time, if left unattended.
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16
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Liew SC, Aung T. Sleep deprivation and its association with diseases- a review. Sleep Med 2020; 77:192-204. [PMID: 32951993 DOI: 10.1016/j.sleep.2020.07.048] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 07/08/2020] [Accepted: 07/27/2020] [Indexed: 01/02/2023]
Abstract
Sleep deprivation, a consequence of multiple health problems or a cause of many major health risks, is a significant public health concern in this era. In the recent years, numerous reports have been added to the literature to provide explanation and to answer previously unanswered questions on this important topic but comprehensive updates and reviews in this aspect remain scarce. The present study identified 135 papers that investigated the association between sleep deprivation and health risks, including cardiovascular, respiratory, neurological, gastrointestinal, immunology, dermatology, endocrine, and reproductive health. In this review, we aimed to provide insight into the association between sleep deprivation and the development of diseases. We reviewed the latest updates available in the literature and particular attention was paid to reports that detailed all possible causal relationships involving both extrinsic and intrinsic factors that may be relevant to this topic. Various mechanisms by which sleep deprivation may affect health were presented and discussed, and this review hopes to serve as a platform for ideas generation for future research.
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Affiliation(s)
- Siaw Cheok Liew
- Department of Clinical Competence, Perdana University-Royal College of Surgeons in Ireland, Kuala Lumpur, Malaysia.
| | - Thidar Aung
- Department of Biochemistry, Perdana University-Royal College of Surgeons in Ireland, Kuala Lumpur, Malaysia
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17
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Liu TT, Falahpour M. Vigilance Effects in Resting-State fMRI. Front Neurosci 2020; 14:321. [PMID: 32390792 PMCID: PMC7190789 DOI: 10.3389/fnins.2020.00321] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 03/18/2020] [Indexed: 12/02/2022] Open
Abstract
Measures of resting-state functional magnetic resonance imaging (rsfMRI) activity have been shown to be sensitive to cognitive function and disease state. However, there is growing evidence that variations in vigilance can lead to pronounced and spatially widespread differences in resting-state brain activity. Unless properly accounted for, differences in vigilance can give rise to changes in resting-state activity that can be misinterpreted as primary cognitive or disease-related effects. In this paper, we examine in detail the link between vigilance and rsfMRI measures, such as signal variance and functional connectivity. We consider how state changes due to factors such as caffeine and sleep deprivation affect both vigilance and rsfMRI measures and review emerging approaches and methodological challenges for the estimation and interpretation of vigilance effects.
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Affiliation(s)
- Thomas T. Liu
- Center for Functional MRI, University of California, San Diego, La Jolla, CA, United States
- Departments of Radiology, Psychiatry, and Bioengineering, University of California, San Diego, La Jolla, CA, United States
| | - Maryam Falahpour
- Center for Functional MRI, University of California, San Diego, La Jolla, CA, United States
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18
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Yang Y, Wang L, Lei Y, Zhu Y, Shen H. Manifold Learning of Dynamic Functional Connectivity Reliably Identifies Functionally Consistent Coupling Patterns in Human Brains. Brain Sci 2019; 9:E309. [PMID: 31689958 PMCID: PMC6895885 DOI: 10.3390/brainsci9110309] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 10/31/2019] [Accepted: 11/01/2019] [Indexed: 12/21/2022] Open
Abstract
Most previous work on dynamic functional connectivity (dFC) has focused on analyzing temporal traits of functional connectivity (similar coupling patterns at different timepoints), dividing them into functional connectivity states and detecting their between-group differences. However, the coherent functional connectivity of brain activity among the temporal dynamics of functional connectivity remains unknown. In the study, we applied manifold learning of local linear embedding to explore the consistent coupling patterns (CCPs) that reflect functionally homogeneous regions underlying dFC throughout the entire scanning period. By embedding the whole-brain functional connectivity in a low-dimensional manifold space based on the Human Connectome Project (HCP) resting-state data, we identified ten stable patterns of functional coupling across regions that underpin the temporal evolution of dFC. Moreover, some of these CCPs exhibited significant neurophysiological meaning. Furthermore, we apply this method to HCP rsfMR and tfMRI data as well as sleep-deprivation data and found that the topological organization of these low-dimensional structures has high potential for predicting sleep-deprivation states (classification accuracy of 92.3%) and task types (100% identification for all seven tasks).In summary, this work provides a methodology for distilling coherent low-dimensional functional connectivity structures in complex brain dynamics that play an important role in performing tasks or characterizing specific states of the brain.
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Affiliation(s)
- Yuyuan Yang
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.
| | - Lubin Wang
- Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing 100850, China.
| | - Yu Lei
- Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing 100850, China.
| | - Yuyang Zhu
- Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, Beijing 100850, China.
| | - Hui Shen
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.
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