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McCauley ME, McCauley P, Kalachev LV, Riedy SM, Banks S, Ecker AJ, Dinges DF, Van Dongen HPA. Biomathematical modeling of fatigue due to sleep inertia. J Theor Biol 2024; 590:111851. [PMID: 38782198 PMCID: PMC11179995 DOI: 10.1016/j.jtbi.2024.111851] [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: 11/26/2023] [Revised: 04/13/2024] [Accepted: 05/12/2024] [Indexed: 05/25/2024]
Abstract
Biomathematical models of fatigue capture the physiology of sleep/wake regulation and circadian rhythmicity to predict changes in neurobehavioral functioning over time. We used a biomathematical model of fatigue linked to the adenosinergic neuromodulator/receptor system in the brain as a framework to predict sleep inertia, that is, the transient neurobehavioral impairment experienced immediately after awakening. Based on evidence of an adenosinergic basis for sleep inertia, we expanded the biomathematical model with novel differential equations to predict the propensity for sleep inertia during sleep and its manifestation after awakening. Using datasets from large laboratory studies of sleep loss and circadian misalignment, we calibrated the model by fitting just two new parameters and then validated the model's predictions against independent data. The expanded model was found to predict the magnitude and time course of sleep inertia with generally high accuracy. Analysis of the model's dynamics revealed a bifurcation in the predicted manifestation of sleep inertia in sustained sleep restriction paradigms, which reflects the observed escalation of the magnitude of sleep inertia in scenarios with sleep restriction to less than ∼ 4 h per day. Another emergent property of the model involves a rapid increase in the predicted propensity for sleep inertia in the early part of sleep followed by a gradual decline in the later part of the sleep period, which matches what would be expected based on the adenosinergic regulation of non-rapid eye movement (NREM) sleep and its known influence on sleep inertia. These dynamic behaviors provide confidence in the validity of our approach and underscore the predictive potential of the model. The expanded model provides a useful tool for predicting sleep inertia and managing impairment in 24/7 settings where people may need to perform critical tasks immediately after awakening, such as on-demand operations in safety and security, emergency response, and health care.
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Affiliation(s)
- Mark E McCauley
- Sleep and Performance Research Center, Washington State University, 412 E. Spokane Falls Blvd., Spokane, WA 99202-2131, USA; Department of Translational Medicine and Physiology, Washington State University Health Sciences Spokane, 412 E. Spokane Falls Blvd., Spokane, WA 99202, USA.
| | - Peter McCauley
- Sleep and Performance Research Center, Washington State University, 412 E. Spokane Falls Blvd., Spokane, WA 99202-2131, USA
| | - Leonid V Kalachev
- Department of Mathematical Sciences, University of Montana, Mathematics Building, Missoula, MT 59812, USA.
| | - Samantha M Riedy
- Sleep and Performance Research Center, Washington State University, 412 E. Spokane Falls Blvd., Spokane, WA 99202-2131, USA
| | - Siobhan Banks
- Behaviour-Brain-Body Research Centre, University of South Australia, Adelaide, SA 5048, Australia.
| | - Adrian J Ecker
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, University of Pennsylvania Perelman School of Medicine, 1013 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, USA.
| | - David F Dinges
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, University of Pennsylvania Perelman School of Medicine, 1013 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, USA.
| | - Hans P A Van Dongen
- Sleep and Performance Research Center, Washington State University, 412 E. Spokane Falls Blvd., Spokane, WA 99202-2131, USA; Department of Translational Medicine and Physiology, Washington State University Health Sciences Spokane, 412 E. Spokane Falls Blvd., Spokane, WA 99202, USA.
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Dumot C, Gasimov T, Hatipoglu Majernik G, Gurbuz MS, Erginoglu U, Keles A, Arat A, Baskaya MK. Nighttime Treatment of Ruptured Intracranial Aneurysms Are Associated With Poor Outcomes. Neurosurgery 2024:00006123-990000000-01228. [PMID: 38904367 DOI: 10.1227/neu.0000000000003024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 04/16/2024] [Indexed: 06/22/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Rebleeding of ruptured intracranial aneurysms (RIA) is associated with poor outcomes. Although immediate treatment of RIAs is preferred, optimal treatment timing is multifactorial and may be a complicating factor for achieving the best outcomes. The objective of this study was to compare outcomes for patients with RIAs as a function of treatment time of day. To the best of our knowledge, this is the first study that examines how treatment time of day influences treatment outcomes. METHODS This retrospective single-center study included all patients who were treated, either surgically or endovascularly, for RIAs within 24 hours after admission. Exclusion criteria were blister, mycotic or giant aneurysms, or incomplete records. The modified Rankin Scale was used to evaluate treatment outcomes using multivariate analysis. Nighttime treatment was defined when greater than 50% of the procedure was performed between 10 pm and 7 am, with other times classified as daytime treatment. Off-hours treatment was defined when more than 50% of the procedure was performed between 7 pm and 7 am, with other times classified as on-hours. RESULTS This study included 493 patients, with 84.2% (415) treated during the daytime, 15.8% (78) during the nighttime, 67.5% (333) during on-hours, and 32.5% (160) during off-hours. These groups did not differ according to age, sex, World Federation of Neurosurgical Societies and Fisher scales, aneurysm size, location, and surgical or endovascular treatment. Outcomes were favorable (modified Rankin Scale 0-2) for 72.0% (299) of patients treated during the daytime and 60.0% (46) of patients treated during the nighttime. Aneurysm treatment during the nighttime (OR: 0.50 [95% CI: 0.28-0.91], P = .023) but not during off-hours (OR: 0.76 [0.50-1.14], P = .18) was independently associated with unfavorable outcomes. CONCLUSION Nighttime treatment was associated with poorer outcomes. Further studies are needed to evaluate outcomes if treatment is postponed to daytime hours.
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Affiliation(s)
- Chloe Dumot
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
- Department of Neurosurgery, Hospices Civils de Lyon, Lyon, France
| | - Turab Gasimov
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | | | - Mehmet Sabri Gurbuz
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Ufuk Erginoglu
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Abdullah Keles
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Anil Arat
- Department of Radiology, Hacettepe University Medical Faculty, Ankara, Turkey
| | - Mustafa K Baskaya
- Department of Neurological Surgery, University of Wisconsin-Madison, Madison, Wisconsin, USA
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Liu Z, Zhou Y, Hao C, Ma N. Alteration in neural oscillatory activity and phase-amplitude coupling after sleep deprivation: Evidence for impairment and compensation effects. J Sleep Res 2024:e14264. [PMID: 38853286 DOI: 10.1111/jsr.14264] [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: 04/05/2024] [Revised: 05/09/2024] [Accepted: 05/27/2024] [Indexed: 06/11/2024]
Abstract
Insufficient sleep can significantly affect vigilance and increase slow-wave electroencephalographic power as homeostatic sleep pressure accumulates. Phase-amplitude coupling is involved in regulating the spatiotemporal integration of physiological processes. This study aimed to examine the functional associations of resting-state electroencephalographic power and delta/theta-gamma phase-amplitude coupling from the prefrontal cortex (PFC) to posterior regions with vigilance performance after sleep deprivation. Forty-six healthy adults underwent 24-hr sleep deprivation with resting-state electroencephalographic recordings, and vigilant attention was measured using the Psychomotor Vigilance Task. Power spectral and phase-amplitude coupling analyses were conducted, and correlation analysis was utilized to reveal the relationship between electroencephalographic patterns and changes in vigilance resulting from sleep deprivation. Sleep deprivation significantly declined vigilance performance, accompanied by increased resting-state electroencephalographic power in all bands and delta/theta-gamma phase-amplitude coupling. The increased theta activity in centro-parieto-occipital areas significantly correlated with decreased mean and slowest response speed. Conversely, the increased delta-low gamma and theta-high gamma phase-amplitude couplings negatively correlated with the deceleration of the fastest Psychomotor Vigilance Task reaction times. These findings suggest that sleep deprivation affects vigilance by altering electroencephalographic spectral power and information communication across frequency bands in different brain regions. The distinct effects of increased theta power and delta/theta-gamma phase-amplitude coupling might reflect the impairment and compensation of sleep deprivation on vigilance performance, respectively.
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Affiliation(s)
- Zehui Liu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), 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
| | - Yuqi Zhou
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), 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
| | - Chao Hao
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), 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
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), 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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Ahlström C, Anund A. Development of sleepiness in professional truck drivers: Real-road testing for driver drowsiness and attention warning (DDAW) system evaluation. J Sleep Res 2024:e14259. [PMID: 38837467 DOI: 10.1111/jsr.14259] [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: 02/13/2024] [Revised: 05/16/2024] [Accepted: 05/22/2024] [Indexed: 06/07/2024]
Abstract
All new vehicle types within the European Union must now be equipped with a driver drowsiness and attention warning system starting from 2022. The specific requirements for the test procedure necessary for type approval are defined in the Annex of EU Regulation C/2021/2639. The objectives of this study were to: (i) investigate how sleepiness develops in professional truck drivers under real-road driving conditions; and (ii) assess the feasibility of a test procedure for validating driver drowsiness and attention warning systems according to the EU regulation. Twenty-four professional truck drivers participated in the test. They drove for 180 km on a dual-lane motorway, first during daytime after a normal night's sleep and then at nighttime after being awake since early morning. The results showed higher sleepiness levels during nighttime driving compared with daytime, with a faster increase in sleepiness with distance driven, especially during the night. Psychomotor vigilance task results corroborated these findings. From a driver drowsiness and attention warning testing perspective, the study design with sleep-deprived drivers at night was successful in inducing the targeted sleepiness level of a Karolinska Sleepiness Scale score of ≥ 8. Many drivers who reported a Karolinska Sleepiness Scale ≥ 8 during the drives also acknowledged feeling sleepy in the post-drive questionnaire. Reaching high levels of sleepiness on real roads during daytime is more problematic, not the least from legal and ethical perspectives as higher traffic densities during the daytime lead to increased risks.
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Affiliation(s)
- Christer Ahlström
- Swedish National Road and Transport Research Institute, Linköping, Sweden
- Department of Biomedical Engineering, Linköping University, Linköping, Sweden
| | - Anna Anund
- Swedish National Road and Transport Research Institute, Linköping, Sweden
- Rehabilitation Medicine, Linköping University, Linköping, Sweden
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Edmealem A, Tegegne B, Alem G, Zeleke H, Ayenew T, Ayenew S, Sisay Gebeyew A, Tomiso B, Getahun A, Wondie T, Liknaw T. Sleep quality among patients with chronic illness in Ethiopia: systematic review and meta-analysis. Front Psychiatry 2024; 15:1365463. [PMID: 38881551 PMCID: PMC11177758 DOI: 10.3389/fpsyt.2024.1365463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 05/16/2024] [Indexed: 06/18/2024] Open
Abstract
Background Poor sleep quality impedes the progression of chronic illnesses, while chronic illnesses themselves are caused by poor sleep quality. Despite this fact, there is no research that has been conducted in Ethiopia that provides a thorough estimate of the self-reported sleep quality among patients with chronic illnesses. In order to present a complete picture of poor sleep quality among diabetes, hypertension, heart failure, cancer, HIV/AIDS and epilepsy patients, this systematic review and meta-analysis was carried out. Methods Systematic review and meta-analysis was conducted to estimate the quality of sleep among patients with chronic illness in Ethiopia. The Preferred Reporting Items for Systematic Review and Meta Analysis standard was followed in the reporting of this systematic review and meta-analysis. An extensive exploration of digital repositories, including PubMed, EMBASE, Cochrane, Africa Journal of Online, Google Scholar, and an advanced Google search, was conducted to obtain published studies until December 1st, 2023 detailing poor sleep quality of patients with chronic illness. STATA version 17 commands were used to create the pooled estimate. The I2 test and Egger's test, respectively, were used to identify the presence of heterogeneity and publication bias. To manage heterogeneity, a subgroup analysis and random effect model were used. Results A total 21 articles with a total of 7393 participants were included in the final systematic review and meta-analysis. The pooled estimate of poor sleep quality among patients with chronic illness was 52% (95% of CI: 48%, 59%; I2 = 97.26%). In subgroup analysis, the highest pooled estimate of poor sleep quality was observed in cancer patients 63% (95% CI: (95% CI: 45% - 80%). Regarding to data collection period, the highest pooled estimate of poor sleep quality was seen during spring 68% (95% CI: 42% - 94%). Conclusions Patients with chronic illnesses in Ethiopia had a high pooled estimate of poor sleep quality. Patients with cancer had the highest pooled estimate of poor-quality sleep compared with other patients. Patients with chronic illnesses had trouble sleeping in the spring, according to this systematic review and meta-analysis. Therefore, attention and intervention should be given to enhance the quality of sleep for patients with chronic illnesses.
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Affiliation(s)
- Afework Edmealem
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Belachew Tegegne
- Department of Nursing, College of Medicine and Health Science, Injibara University, Injibara, Ethiopia
| | - Girma Alem
- Department of Health Informatics, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Haymanot Zeleke
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Temesgen Ayenew
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Setarg Ayenew
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Ayenew Sisay Gebeyew
- Department of Health Informatics, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Bereket Tomiso
- Department of Public Health, Tropical College of Medicine, Debre Markos, Ethiopia
| | | | - Tirusew Wondie
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Tiliksew Liknaw
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
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Fu X, Yan S, Hu Z, Sheng W, Li W, Kuang S, Feng X, Liu L, Zhang W, He Q. Guhan Yangsheng Jing mitigates hippocampal neuronal pyroptotic injury and manifies learning and memory capabilities in sleep deprived mice via the NLRP3/Caspase1/GSDMD signaling pathway. JOURNAL OF ETHNOPHARMACOLOGY 2024; 326:117972. [PMID: 38403005 DOI: 10.1016/j.jep.2024.117972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 02/27/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Guhan Yangsheng Jing (GHYSJ) is a traditional Chinese patent medicine, that has the function of nourishing the kidney and replenishing the essence, invigorating the brain and calming the mind. It is often used to treat dizziness, memory loss, sleep disorders, fatigue, and weakness, etc. However, its mechanism for improving sleep has not yet been determined. AIM OF THE STUDY This study aims to explore the effects of GHYSJ on Sleep Deprivation (SD)-induced hippocampal neuronal pyroptotic injury, learning and cognitive abilities, and sleep quality in mice. METHODS In this study, a PCPA-induced SD mouse model was established. We assessed the influence of GHYSJ on sleep quality and mood by using the pentobarbital-induced sleep test (PIST) and sucrose preference test (SPT). The pharmacological effects of GHYSJ on learning and memory impairment were evaluated by the Morris Water Maze (MWM) and Open Field Test (OFT). Pathological changes in the hippocampal tissue of the SD rats were observed via HE staining and Nissl staining. The severity of neuronal damage was evaluated by detecting the expression of the neuronal marker Microtubule-associated protein 2 (MAP2), via immunohistochemistry and immunofluorescence. Furthermore, the levels of neurotransmitter 5-hydroxytryptophan (5-HTP), 5-hydroxy tryptamine (5-HT), γ-aminobutyric acid (GABA), and Glutamic acid (Glu) in hippocampal tissues, as well as the expression of inflammatory factors Interleukin-1β (IL-1β) and Interleukin-18 (IL-18) in serum, were determined by ELISA. The expressions of mRNA and protein NOD-like receptor thermal protein domain associated protein 3 (NLRP3), Gasdermin D (GSDMD), Cysteinyl aspartate specific proteinase1 (Caspase1), High mobility group box-1 protein (HMGB1) and Apoptosis-associated speck-like protein containing CARD (ASC) related to the cellular ferroptosis pathway were tested and analyzed by RT-PCR and WB respectively. RESULTS PCPA significantly diminishes the sleep span of experimental animals by expediting the expenditure of 5-HT, consequently establishing an essentially direct SD model. The intervention of GHYSJ displays remarkable efficacy in mitigating insomnia symptoms, encompassing difficulties in initiating sleep and insufficient sleep duration. Likewise, it ameliorates memory function impairments induced by sleep deprivation, along with symptoms such as fatigue and depletion of vitality. GHYSJ exerts a protective influence on hippocampal neurons facilitated by inhibiting the down regulation of MAP2 and maintaining the equilibrium of neurotransmitters (5-HTP, 5-HT, GABA, and Glu). It diminishes the expression of intracellular pyroptosis-associated inflammatory factors (IL-1β and IL-18) and curbs the activation of the NLRP3/Caspase1/GSDMD pyroptosis-related signaling pathways, thereby alleviating the damage caused by hippocampal neuronal pyroptosis.
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Affiliation(s)
- Xinying Fu
- College of Integrated Chinese and Western Medicine, Hunan Provincial Key Laboratory for Prevention and Treatment of Heart and Brain Diseases with Integrated Traditional Chinese and Western Medicine, Hunan University of Traditional Chinese Medicine, Hunan, 410208, China; College of Integrated Chinese Medicine, Hunan University of Traditional Chinese Medicine, Hunan, 410208, China; Hunan University of Medicine, Huaihua, Hunan, 418000, China
| | - Siyang Yan
- The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine, Changsha, Hunan, 410007, China
| | - Zongren Hu
- College of Integrated Chinese Medicine, Hunan University of Traditional Chinese Medicine, Hunan, 410208, China; Hunan University of Medicine, Huaihua, Hunan, 418000, China
| | - Wen Sheng
- College of Integrated Chinese Medicine, Hunan University of Traditional Chinese Medicine, Hunan, 410208, China; Hunan University of Medicine, Huaihua, Hunan, 418000, China
| | - Wanyu Li
- College of Integrated Chinese and Western Medicine, Hunan Provincial Key Laboratory for Prevention and Treatment of Heart and Brain Diseases with Integrated Traditional Chinese and Western Medicine, Hunan University of Traditional Chinese Medicine, Hunan, 410208, China
| | - Shida Kuang
- College of Integrated Chinese Medicine, Hunan University of Traditional Chinese Medicine, Hunan, 410208, China; Hunan University of Medicine, Huaihua, Hunan, 418000, China
| | - Xue Feng
- Qidi Pharmaceutical Group Co., Ltd, Hengyang, Hunan, 421099, China
| | - Lumei Liu
- College of Integrated Chinese and Western Medicine, Hunan Provincial Key Laboratory for Prevention and Treatment of Heart and Brain Diseases with Integrated Traditional Chinese and Western Medicine, Hunan University of Traditional Chinese Medicine, Hunan, 410208, China.
| | - Wei Zhang
- College of Integrated Chinese and Western Medicine, Hunan Provincial Key Laboratory for Prevention and Treatment of Heart and Brain Diseases with Integrated Traditional Chinese and Western Medicine, Hunan University of Traditional Chinese Medicine, Hunan, 410208, China.
| | - Qinghu He
- College of Integrated Chinese and Western Medicine, Hunan Provincial Key Laboratory for Prevention and Treatment of Heart and Brain Diseases with Integrated Traditional Chinese and Western Medicine, Hunan University of Traditional Chinese Medicine, Hunan, 410208, China; College of Integrated Chinese Medicine, Hunan University of Traditional Chinese Medicine, Hunan, 410208, China; Hunan University of Medicine, Huaihua, Hunan, 418000, China.
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7
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Dutil C, De Pieri J, Sadler CM, Maslovat D, Chaput JP, Carlsen AN. Chronic short sleep duration lengthens reaction time, but the deficit is not associated with motor preparation. J Sleep Res 2024:e14231. [PMID: 38782723 DOI: 10.1111/jsr.14231] [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: 01/12/2024] [Revised: 03/27/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024]
Abstract
The purpose of this study was to investigate the association between chronic sleep duration and reaction time performance and motor preparation during a simple reaction time task with a startling acoustic stimulus in adults. This cross-sectional study included self-reported short sleepers (n = 25, ≤ 6 hr per night) and adequate sleepers (n = 25, ≥ 7.5 hr per night) who performed a simple reaction time task requiring a targeted ballistic wrist extension in response to either a control-tone (80 dB) or a startling acoustic stimulus (120 dB). Outcome measures included reaction times for each stimulus (overall and for each trial block), lapses, and proportion of startle responses. Chronic short sleepers slept on average 5.7 hr per night in the previous month, which was 2.8 hr per night less than the adequate sleepers. Results revealed an interaction between sleep duration group and stimulus type; the short sleepers had significantly slower control-tone reaction times compared with adequate sleepers, but there was no significant difference in reaction time between groups for the startling acoustic stimulus. Further investigation showed that chronic short sleepers had significantly slower control-tone reaction times after two blocks of trials lasting about 5 min, until the end of the task. Lapses were not significantly different between groups. Chronic short sleep duration was associated with poorer performance; however, these reaction time deficits cannot be attributed to motor preparation, as startling acoustic stimulus reaction times were not different between sleep duration groups. While time-on-task performance decrements were associated with chronic sleep duration, alertness was not. Sleeping less than the recommended sleep duration on a regular basis is associated with poorer cognitive performance, which becomes evident after 5 min.
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Affiliation(s)
- Caroline Dutil
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Julia De Pieri
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - Christin M Sadler
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Dana Maslovat
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
| | - Jean-Philippe Chaput
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Anthony N Carlsen
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, Ontario, Canada
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8
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Marsh BM, Navas-Zuloaga MG, Rosen BQ, Sokolov Y, Delanois JE, González OC, Krishnan GP, Halgren E, Bazhenov M. Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.15.562408. [PMID: 38617301 PMCID: PMC11014475 DOI: 10.1101/2023.10.15.562408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Slow-wave sleep (SWS), characterized by slow oscillations (SO, <1Hz) of alternating active and silent states in the thalamocortical network, is a primary brain state during Non-Rapid Eye Movement (NREM) sleep. In the last two decades, the traditional view of SWS as a global and uniform whole-brain state has been challenged by a growing body of evidence indicating that SO can be local and can coexist with wake-like activity. However, the understanding of how global and local SO emerges from micro-scale neuron dynamics and network connectivity remains unclear. We developed a multi-scale, biophysically realistic human whole-brain thalamocortical network model capable of transitioning between the awake state and slow-wave sleep, and we investigated the role of connectivity in the spatio-temporal dynamics of sleep SO. We found that the overall strength and a relative balance between long and short-range synaptic connections determined the network state. Importantly, for a range of synaptic strengths, the model demonstrated complex mixed SO states, where periods of synchronized global slow-wave activity were intermittent with the periods of asynchronous local slow-waves. Increase of the overall synaptic strength led to synchronized global SO, while decrease of synaptic connectivity produced only local slow-waves that would not propagate beyond local area. These results were compared to human data to validate probable models of biophysically realistic SO. The model producing mixed states provided the best match to the spatial coherence profile and the functional connectivity estimated from human subjects. These findings shed light on how the spatio-temporal properties of SO emerge from local and global cortical connectivity and provide a framework for further exploring the mechanisms and functions of SWS in health and disease.
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Affiliation(s)
- Brianna M Marsh
- Department of Medicine, University of California, San Diego
- Neuroscience Graduate Program, University of California, San Diego
| | | | - Burke Q Rosen
- Neuroscience Graduate Program, University of California, San Diego
| | - Yury Sokolov
- Department of Medicine, University of California, San Diego
| | - Jean Erik Delanois
- Department of Medicine, University of California, San Diego
- Department of Computer Science and Engineering, University of California, San Diego
| | | | | | - Eric Halgren
- Neuroscience Graduate Program, University of California, San Diego
- Department of Radiology and Neuroscience, University of California, San Diego
| | - Maxim Bazhenov
- Department of Medicine, University of California, San Diego
- Neuroscience Graduate Program, University of California, San Diego
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Whitehurst LN, Morehouse A, Mednick SC. Can stimulants make you smarter, despite stealing your sleep? Trends Cogn Sci 2024:S1364-6613(24)00102-5. [PMID: 38763802 DOI: 10.1016/j.tics.2024.04.007] [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: 12/01/2023] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 05/21/2024]
Abstract
Nonmedical use of psychostimulants for cognitive enhancement is widespread and growing in neurotypical individuals, despite mixed scientific evidence of their effectiveness. Sleep benefits cognition, yet the interaction between stimulants, sleep, and cognition in neurotypical adults has received little attention. We propose that one effect of psychostimulants, namely decreased sleep, may play an important and unconsidered role in the effect of stimulants on cognition. We discuss the role of sleep in cognition, the alerting effects of stimulants in the context of sleep loss, and the conflicting findings of stimulants for complex cognitive processes. Finally, we hypothesize that sleep may be one unconsidered factor in the mythology of stimulants as cognitive enhancers and propose a methodological approach to systematically assess this relation.
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Affiliation(s)
- Lauren N Whitehurst
- Department of Psychology, University of Kentucky, Lexington, KY, USA, 40508.
| | - Allison Morehouse
- Department of Cognitive Science, University of California, Irvine, Irvine, CA, USA, 92617
| | - Sara C Mednick
- Department of Cognitive Science, University of California, Irvine, Irvine, CA, USA, 92617.
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Abuhammad S, Bani Younis A, Ahmed AH. Impact of a structured sleep education program on mothers' knowledge and attitudes toward infant sleeping. Heliyon 2024; 10:e29885. [PMID: 38711628 PMCID: PMC11070819 DOI: 10.1016/j.heliyon.2024.e29885] [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: 11/17/2023] [Revised: 04/17/2024] [Accepted: 04/17/2024] [Indexed: 05/08/2024] Open
Abstract
Introduction Sleeping is necessary for the infant growth and development. Sufficient and quality of sleep can have an impact on physical, cognitive, and emotional functioning. Infancy is a critical time for establishing healthy habits and routines. However, many infants were suffering from sleeping issues that impact their health. Objectives This study aims to evaluate the effect of educational programs given to mothers regarding their infants' sleep on mothers' knowledge and attitudes toward infant's sleeping. Method A quasi-experimental design for nonequivalent groups was used, and data was collected from 208 mothers with infants aged 5-12 months from all Jordanian governorates who had not been exposed to educational programs prior to this study. Data was collected in two stages: pre-test and post-test, with two weeks in between for both groups. Results The final results indicated that the educational intervention had a significant impact on mothers' knowledge over time. It was found that mothers in the intervention group had significantly higher mean of infant sleep health knowledge at follow up time compared to their baseline time (B = 0.236, P 0.001). Also, the yielded analysis showed that there was no significant change in mothers' mean attitudes toward infants sleeping over time (P = 0.011). The mothers' measured sleep health knowledge correlated positively and significantly statistically with their sleep health attitudes score (r = 0.436, P 0.010).
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Affiliation(s)
- Sawsan Abuhammad
- Department of Maternal and Child Health, Faculty of Nursing, Jordan University of Science and Technology, Irbid, 22110, Jordan
| | - Alaa Bani Younis
- Department of Maternal and Child Health, Faculty of Nursing, Jordan University of Science and Technology, Irbid, 22110, Jordan
| | - Azza H. Ahmed
- Purdue University School of Nursing, 502 North University Street, West Lafayette, IN 47907, United States
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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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12
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Li E, Ai F, Liang C, Chen Q, Zhao Y, Xu K, Kong J. Latent profile analysis of depression in US adults with obstructive sleep apnea hypopnea syndrome. Front Psychiatry 2024; 15:1398669. [PMID: 38736623 PMCID: PMC11082792 DOI: 10.3389/fpsyt.2024.1398669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 04/08/2024] [Indexed: 05/14/2024] Open
Abstract
Objective This study used latent profile analysis to explore the level of depression among US adults with obstructive sleep apnea hypopnea syndrome (OSAHS) symptoms and to identify different latent categories of depression to gain insight into the characteristic differences between these categories. Methods The data of this study were obtained from the National Health and Nutrition Examination Survey (NHANES) database, and the subjects with OSAHS symptoms were aged 18 years and older. The latent profile analysis (LPA) method was used to fit the latent depression categories in subjects with OSAHS symptoms. The chi-square test, rank sum test, and binary logistic regression were used to analyze the influencing factors of depression subgroups in subjects with OSAHS symptoms. Results Three latent profiles were identified: low-level (83.7%), moderate-level (14.5%) and high-level (1.8%) depression. The scores of 9 items in the high-level depression group were higher than those in the other two groups. Among them, item 4 "feeling tired or lack of energy" had the highest score in all categories. Conclusion Depression in subjects with OSAHS symptoms can be divided into low-level, moderate-level and high-level depression. There are significant differences among different levels of depression in gender, marital status, PIR, BMI, smoking, general health condition, sleep duration and OSAHS symptom severity.
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Affiliation(s)
| | | | - Chunguang Liang
- Department of Nursing, Jinzhou Medical University, Jinzhou, China
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13
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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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15
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Perrault AA, Kebets V, Kuek NMY, Cross NE, Tesfaye R, Pomares FB, Li J, Chee MW, Dang-Vu TT, Yeo BT. A multidimensional investigation of sleep and biopsychosocial profiles with associated neural signatures. RESEARCH SQUARE 2024:rs.3.rs-4078779. [PMID: 38659875 PMCID: PMC11042395 DOI: 10.21203/rs.3.rs-4078779/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Sleep is essential for optimal functioning and health. Interconnected to multiple biological, psychological and socio-environmental factors (i.e., biopsychosocial factors), the multidimensional nature of sleep is rarely capitalized on in research. Here, we deployed a data-driven approach to identify sleep-biopsychosocial profiles that linked self-reported sleep patterns to inter-individual variability in health, cognition, and lifestyle factors in 770 healthy young adults. We uncovered five profiles, including two profiles reflecting general psychopathology associated with either reports of general poor sleep or an absence of sleep complaints (i.e., sleep resilience) respectively. The three other profiles were driven by sedative-hypnotics-use and social satisfaction, sleep duration and cognitive performance, and sleep disturbance linked to cognition and mental health. Furthermore, identified sleep-biopsychosocial profiles displayed unique patterns of brain network organization. In particular, somatomotor network connectivity alterations were involved in the relationships between sleep and biopsychosocial factors. These profiles can potentially untangle the interplay between individuals' variability in sleep, health, cognition and lifestyle - equipping research and clinical settings to better support individual's well-being.
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Affiliation(s)
- Aurore A. Perrault
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l’Ilede-Montréal, QC, Canada
- Sleep & Circadian Research Group, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
| | - Valeria Kebets
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), McGill University, Montreal, QC, Canada
- McGill University, Montreal, QC, Canada
| | - Nicole M. Y. Kuek
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
| | - Nathan E. Cross
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l’Ilede-Montréal, QC, Canada
- School of Psychology, University of Sydney, NSW, Australia
| | | | - Florence B. Pomares
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l’Ilede-Montréal, QC, Canada
| | - Jingwei Li
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany
| | - Michael W.L. Chee
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Thien Thanh Dang-Vu
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l’Ilede-Montréal, QC, Canada
| | - B.T. Thomas Yeo
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Department of Medicine, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
- Martinos Center for Biomedical Imaging, Massachussetts General Hospital, Charlestown, MA, USA
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16
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Taillard J, Micoulaud-Franchi JA, Martin VP, Peter-Derex L, Vecchierini MF. Objective evaluation of excessive daytime sleepiness. Neurophysiol Clin 2024; 54:102938. [PMID: 38401239 DOI: 10.1016/j.neucli.2023.102938] [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: 11/19/2023] [Revised: 12/19/2023] [Accepted: 12/19/2023] [Indexed: 02/26/2024] Open
Abstract
Excessive daytime sleepiness (EDS) is multifactorial. It combines, among other things, an excessive propensity to fall asleep ("physiological sleepiness") and a continuous non-imperative sleepiness (or drowsiness/hypo-arousal) leading to difficulties remaining awake and maintaining sustained attention and vigilance over the long term ("manifest sleepiness"). There is no stand-alone biological measure of EDS. EDS measures can either capture the severity of physiological sleepiness, which corresponds to the propensity to fall asleep, or the severity of manifest sleepiness, which corresponds to behavioral consequences of sleepiness and reduced vigilance. Neuropsychological tests (The psychomotor vigilance task (PVT), Oxford Sleep Resistance Test (OSLeR), Sustained Attention to Response Task (SART)) explore manifest sleepiness through several sustained attention tests but the lack of normative values and standardized protocols make the results difficult to interpret and use in clinical practice. Neurophysiological tests explore the two main aspects of EDS, i.e. the propensity to fall asleep (Multiple sleep latency test, MSLT) and the capacity to remain awake (Maintenance of wakefulness test, MWT). The MSLT and the MWT are widely used in clinical practice. The MSLT is recognized as the "gold standard" test for measuring the severity of the propensity to fall asleep and it is a diagnostic criterion for narcolepsy. The MWT measures the ability to stay awake. The MWT is not a diagnostic test as it is recommended only to evaluate the evolution of EDS and efficacy of EDS treatment. Even if some efforts to standardize the protocols for administration of these tests have been ongoing, MSLT and MWT have numerous limitations: age effect, floor or ceiling effects, binding protocol, no normal or cutoff value (or determined in small samples), and no or low test-retest values in some pathologies. Moreover, the recommended electrophysiological set-up and the determination of sleep onset using the 30‑sec epochs scoring rule show some limitations. New, more precise neurophysiological techniques should aim to detect very brief periods of physiological sleepiness and, in the future, the brain local phenomenon of sleepiness likely to underpin drowsiness, which could be called "physiological drowsiness".
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Affiliation(s)
- Jacques Taillard
- Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France.
| | - Jean Arthur Micoulaud-Franchi
- Univ. Bordeaux, CNRS, SANPSY, UMR 6033, F-33000 Bordeaux, France; Service Universitaire de Médecine du Sommeil, CHU de Bordeaux, Place Amélie Raba-Leon, 33 076 Bordeaux, France
| | - Vincent P Martin
- Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Laure Peter-Derex
- Lyon Neuroscience Research Centre, INSERM U1028, CNRS UMR 5292, Lyon, France; Centre for Sleep Medicine and Respiratory Diseases, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon 1 University, Lyon, France
| | - Marie Françoise Vecchierini
- AP-HP, Hôtel Dieu, Centre de référence Narcolepsies et Hypersomnies rares, centre du sommeil et de la vigilance, 1 place du parvis Notre Dame, 75181 Paris cedex 04, France
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17
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Zhai D, Chen Q, Yao Y, Ru T, Zhou G. Association Between EEG Microarousal During Nocturnal Sleep and Next-Day Selective Attention in Mild Sleep-Restricted Healthy Undergraduates. Nat Sci Sleep 2024; 16:335-344. [PMID: 38567117 PMCID: PMC10986413 DOI: 10.2147/nss.s442007] [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: 09/25/2023] [Accepted: 03/11/2024] [Indexed: 04/04/2024] Open
Abstract
Purpose To explore whether sleep electroencephalogram (EEG) microarousals of different standard durations predict daytime mood and attention performance in healthy individuals after mild sleep restriction. Participants and Methods Sixteen (nine female) healthy college students were recruited to examine the correlations between nocturnal EEG microarousals of different standard durations (≥3 s, ≥5 s, ≥7 s, ≥9 s) under mild sleep restriction (1.5 h) and the following morning's subjective alertness, mood, sustained attention, and selective attention task performance. Results Results revealed that mild sleep restriction significantly reduced subjective alertness and positive mood, while having no significant effect on negative mood, sustained attention and selective attention performance. The number of microarousals (≥5 s) was negatively associated with positive mood at 6:30. The number of microarousals was significantly and positively correlated with the response time difference value of disengagement component of the selective attention task at around 7:30 (≥5 s and ≥7 s) and 9:00 (≥5 s). The number of microarousals (≥7 s) was significantly and positively correlated with the inaccuracy difference value of orientation component of the selective attention task at around 9:00. Conclusion The number of EEG microarousals during sleep in healthy adults with mild sleep restriction was significantly and negatively related to their daytime positive affect while positively associated with the deterioration of disengagement and orientation of selective attention performance, but this link is dependent on the standard duration of microarousals, test time and the type of task.
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Affiliation(s)
- Diguo Zhai
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, People’s Republic of China
- National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou, 510006, People’s Republic of China
| | - Qingwei Chen
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, People’s Republic of China
- National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou, 510006, People’s Republic of China
| | - Ying Yao
- Anhui Provincial Library, Hefei, 230000, People’s Republic of China
| | - Taotao Ru
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, People’s Republic of China
- National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou, 510006, People’s Republic of China
| | - Guofu Zhou
- Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, Institute of Electronic Paper Displays, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, People’s Republic of China
- National Center for International Research on Green Optoelectronics, South China Normal University, Guangzhou, 510006, People’s Republic of China
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18
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Hawks ZW, Beck ED, Jung L, Fonseca LM, Sliwinski MJ, Weinstock RS, Grinspoon E, Xu I, Strong RW, Singh S, Van Dongen HPA, Frumkin MR, Bulger J, Cleveland MJ, Janess K, Kudva YC, Pratley R, Rickels MR, Rizvi SR, Chaytor NS, Germine LT. Dynamic associations between glucose and ecological momentary cognition in Type 1 Diabetes. NPJ Digit Med 2024; 7:59. [PMID: 38499605 PMCID: PMC10948782 DOI: 10.1038/s41746-024-01036-5] [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: 03/13/2023] [Accepted: 02/14/2024] [Indexed: 03/20/2024] Open
Abstract
Type 1 diabetes (T1D) is a chronic condition characterized by glucose fluctuations. Laboratory studies suggest that cognition is reduced when glucose is very low (hypoglycemia) and very high (hyperglycemia). Until recently, technological limitations prevented researchers from understanding how naturally-occurring glucose fluctuations impact cognitive fluctuations. This study leveraged advances in continuous glucose monitoring (CGM) and cognitive ecological momentary assessment (EMA) to characterize dynamic, within-person associations between glucose and cognition in naturalistic environments. Using CGM and EMA, we obtained intensive longitudinal measurements of glucose and cognition (processing speed, sustained attention) in 200 adults with T1D. First, we used hierarchical Bayesian modeling to estimate dynamic, within-person associations between glucose and cognition. Consistent with laboratory studies, we hypothesized that cognitive performance would be reduced at low and high glucose, reflecting cognitive vulnerability to glucose fluctuations. Second, we used data-driven lasso regression to identify clinical characteristics that predicted individual differences in cognitive vulnerability to glucose fluctuations. Large glucose fluctuations were associated with slower and less accurate processing speed, although slight glucose elevations (relative to person-level means) were associated with faster processing speed. Glucose fluctuations were not related to sustained attention. Seven clinical characteristics predicted individual differences in cognitive vulnerability to glucose fluctuations: age, time in hypoglycemia, lifetime severe hypoglycemic events, microvascular complications, glucose variability, fatigue, and neck circumference. Results establish the impact of glucose on processing speed in naturalistic environments, suggest that minimizing glucose fluctuations is important for optimizing processing speed, and identify several clinical characteristics that may exacerbate cognitive vulnerability to glucose fluctuations.
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Affiliation(s)
- Z W Hawks
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA.
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - E D Beck
- Department of Psychology, University of California Davis, Davis, CA, USA
| | - L Jung
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
| | - L M Fonseca
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
- Programa Terceira Idade (PROTER, Old Age Research Group), Department and Institute of Psychiatry, University of São Paulo School of Medicine, São Paulo, Brazil
| | - M J Sliwinski
- Department of Human Development and Family Studies, Center for Healthy Aging, Pennsylvania State University, State College, PA, USA
| | | | - E Grinspoon
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
| | - I Xu
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - R W Strong
- The Many Brains Project, Belmont, MA, USA
| | - S Singh
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - H P A Van Dongen
- Sleep and Performance Research Center & Department of Translational Medicine and Physiology, Washington State University, Spokane, WA, USA
| | - M R Frumkin
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - J Bulger
- SUNY Upstate Medical University, Syracuse, NY, USA
| | - M J Cleveland
- Department of Human Development, Washington State University, Pullman, WA, USA
| | - K Janess
- Jaeb Center for Health Research, Tampa, FL, USA
| | - Y C Kudva
- Division of Endocrinology, Diabetes and Nutrition, Mayo Clinic, Rochester, MN, USA
| | - R Pratley
- AdventHealth Translational Research Institute, Orlando, FL, USA
| | - M R Rickels
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - S R Rizvi
- Division of Endocrinology, Diabetes and Nutrition, Mayo Clinic, Rochester, MN, USA
| | - N S Chaytor
- Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA
| | - L T Germine
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
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Perrault AA, Kebets V, Kuek NMY, Cross NE, Tesfaye R, Pomares FB, Li J, Chee MW, Dang-Vu TT, Thomas Yeo B. A multidimensional investigation of sleep and biopsychosocialprofiles with associated neural signatures. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.15.580583. [PMID: 38559143 PMCID: PMC10979931 DOI: 10.1101/2024.02.15.580583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Sleep is essential for optimal functioning and health. Interconnected to multiple biological, psychological and socio-environmental factors (i.e., biopsychosocial factors), the multidimensional nature of sleep is rarely capitalized on in research. Here, we deployed a data-driven approach to identify sleep-biopsychosocial profiles that linked self-reported sleep patterns to inter-individual variability in health, cognition, and lifestyle factors in 770 healthy young adults. We uncovered five profiles, including two profiles reflecting general psychopathology associated with either reports of general poor sleep or an absence of sleep complaints (i.e., sleep resilience) respectively. The three other profiles were driven by sedative-hypnotics-use and social satisfaction, sleep duration and cognitive performance, and sleep disturbance linked to cognition and mental health. Furthermore, identified sleep-biopsychosocial profiles displayed unique patterns of brain network organization. In particular, somatomotor network connectivity alterations were involved in the relationships between sleep and biopsychosocial factors. These profiles can potentially untangle the interplay between individuals' variability in sleep, health, cognition and lifestyle - equipping research and clinical settings to better support individual's well-being.
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Affiliation(s)
- Aurore A. Perrault
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l’Ile-de-Montréal, QC, Canada
- Sleep & Circadian Research Group, Woolcock Institute of Medical Research, Macquarie University, Sydney, NSW, Australia
| | - Valeria Kebets
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- McConnell Brain Imaging Centre (BIC), Montreal Neurological Institute (MNI), McGill University, Montreal, QC, Canada
- McGill University, Montreal, QC, Canada
| | - Nicole M. Y. Kuek
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
| | - Nathan E. Cross
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l’Ile-de-Montréal, QC, Canada
- School of Psychology, University of Sydney, NSW, Australia
| | | | - Florence B. Pomares
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l’Ile-de-Montréal, QC, Canada
| | - Jingwei Li
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Institute of Neuroscience and Medicine (INM-7: Brain and Behavior), Research Center Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Germany
| | - Michael W.L. Chee
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Thien Thanh Dang-Vu
- Sleep, Cognition and Neuroimaging Lab, Department of Health, Kinesiology and Applied Physiology & Center for Studies in Behavioral Neurobiology, Concordia University, Montreal, QC, Canada
- Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, CIUSSS Centre-Sud-de-l’Ile-de-Montréal, QC, Canada
| | - B.T. Thomas Yeo
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore
- Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- N.1 Institute for Health, National University of Singapore, Singapore
- Department of Medicine, Human Potential Translational Research Programme & Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore
- Martinos Center for Biomedical Imaging, Massachussetts General Hospital, Charlestown, MA, USA
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20
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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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21
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Jafari MJ, Mostafazadeh P, Mojebi MR, Nemati-Vakilabad R, Mirzaei A. Identifying predictors of patient safety competency based on sleep quality in student faculty of nursing and midwifery during the internship period: a multidisciplinary study. BMC Nurs 2024; 23:67. [PMID: 38267940 PMCID: PMC10807159 DOI: 10.1186/s12912-024-01725-2] [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: 11/10/2023] [Accepted: 01/08/2024] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND Ensuring patient safety is of paramount importance in healthcare services. Sleep disorders not only have detrimental effects on the health of healthcare students but also significantly impair their performance, leading to an increased risk of medication errors. These errors can pose a grave threat to the safety and well-being of patients. It is crucial to address and mitigate sleep disorders among internship healthcare students to safeguard the quality of care and minimize potential patient harm. OBJECTIVES This study aimed to investigate the predictors of Patient Safety Competency (PSC) based on the sleep quality of internship healthcare students. METHODS A study was conducted on 331 students from the Ardabil School of Nursing and Midwifery at Ardabil University of Medical Sciences in northwest Iran from August to December 2022. The participants were selected by stratified random sampling. Data were collected using a demographic information form, the Pittsburgh Sleep Quality Index (PSQI), and the Health Professional Education in Patient Safety Survey (H-PEPSS). The collected data were analyzed using SPSS software version 22.0. Person correlation coefficients were used to examine the relationship between PSC level, its dimensions, and sleep quality, while multiple linear regression was conducted to identify the predictors of PSC. RESULTS The competency of nurses in patient safety was average in both classroom and clinical settings. However, their ability to work as a team with other healthcare professionals scored the lowest. In addition, the quality of sleep was found to be a predictor of patient safety competency among healthcare students during their internships. CONCLUSIONS It is important to note that healthcare students tend to have moderate patient safety competence (PSC), which is positively correlated with their sleep quality. Therefore, it is vital to identify the key factors that directly affect PSC. This would enable nursing and midwifery faculty administrators to take preventive measures to enhance patient safety competence in both classroom and clinical settings. Additionally, organizing educational workshops that engage students and improve their sleep quality could improve patient care. Practical courses are recommended for health professionals and students in clinical settings to enhance patient safety competencies. Additionally, student internships should receive hands-on training to improve teamwork and rest conditions.
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Affiliation(s)
- Mohammad Javad Jafari
- Students Research Committee, School of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Pouya Mostafazadeh
- Students Research Committee, School of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Mohammad Reza Mojebi
- Students Research Committee, School of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Reza Nemati-Vakilabad
- Student Research Committee, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran
| | - Alireza Mirzaei
- Department of Emergency Nursing, School of Nursing and Midwifery, Ardabil University of Medical Sciences, Ardabil, Iran.
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22
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Xu Z, Chang Y, Wang C, Guo F, Zheng M, Fang P, Zhu Y. Cognitive impairment after sleep deprivation: The role of precuneus related connectivity on the intra-individual variability changes. Neuroimage 2023; 284:120462. [PMID: 37989456 DOI: 10.1016/j.neuroimage.2023.120462] [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: 08/09/2023] [Revised: 11/12/2023] [Accepted: 11/17/2023] [Indexed: 11/23/2023] Open
Abstract
OBJECTIVE Intra-individual variability (IIV) in cognitive performance is thought to reflect the efficiency with which attentional resources are allocated in different circumstances requiring cognitive control. IIV in cognitive performance is associated with the strength of the negative correlation between task-positive network and default mode network (DMN) activity. In this study, we investigated the impact of sleep deprivation (SD) on functional connectivity (FC) between the DMN and psychomotor vigilance task-related network (PVT-RN), and its relationship with IIV in cognitive performance. METHODS Two analyses, network-level independent component analysis (NL-ICA) and region-level (RL)-ICA, were employed to compare the coefficient of variation (CV) of the PVT between normal sleep and SD conditions across 67 healthy participants. RESULTS After SD, in NL-ICA, the FC between the PVT-RN and DMN was positively correlated with the CV of the PVT, as well as the changes therein, compared with normal sleep. Using a mask derived from the DMN and PVT-RN, the RL-ICA revealed that 12 edges/connections between DMN and PVT independent components were associated with the CV of the PVT, with nine of these connections involving the precuneus. CONCLUSIONS These findings suggest that the precuneus may play a crucial role in the interactions of various brain functions during the PVT, with the connections between the precuneus and frontoparietal and somatosensory networks being significantly altered after SD. Moreover, following SD, weakened negative FC between the precuneus and bilateral inferior parietal lobule may disrupt the balance between cognitive and executive control functions, leading to a decline in cognitive performance.
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Affiliation(s)
- Ziliang Xu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, 127(#) Changle West Road, Xi'an 710032, China
| | - Yingjuan Chang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, 127(#) Changle West Road, Xi'an 710032, China
| | - Chen Wang
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, 127(#) Changle West Road, Xi'an 710032, China
| | - Fan Guo
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, 127(#) Changle West Road, Xi'an 710032, China
| | - Minwen Zheng
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, 127(#) Changle West Road, Xi'an 710032, China
| | - Peng Fang
- Department of Military Medical Psychology, Fourth Military Medical University, 169(#) Changle West Road, Xi'an 710032, China.
| | - Yuanqiang Zhu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, 127(#) Changle West Road, Xi'an 710032, China.
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23
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Banks S, Jones CW, McCauley ME, Dorrian J, Basner M, Maislin G, Van Dongen HPA, Dinges DF. Long-term influence of sleep/wake history on the dynamic neurobehavioural response to sustained sleep restriction. J Sleep Res 2023:e14117. [PMID: 38059385 PMCID: PMC11156797 DOI: 10.1111/jsr.14117] [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: 07/25/2023] [Revised: 11/01/2023] [Accepted: 11/22/2023] [Indexed: 12/08/2023]
Abstract
Chronic sleep restriction, common in today's 24/7 society, causes cumulative neurobehavioural impairment, but the dynamics of the build-up and dissipation of this impairment have not been fully elucidated. We addressed this knowledge gap in a laboratory study involving two, 5-day periods of sleep restriction to 4 hr per day, separated by a 1-day dose-response intervention sleep opportunity. We measured sleep physiological and waking neurobehavioural responses in 70 healthy adults, each randomized to one of seven dose-response intervention sleep doses ranging from 0 to 12 hr, or a non-sleep-restricted control group. As anticipated, sleep physiological markers showed homeostatic dynamics throughout the study, and waking neurobehavioural impairment accumulated across the two sleep restriction periods. Unexpectedly, there was only a slight and short-lived effect of the 1-day dose-response intervention sleep opportunity. Whether the dose-response intervention sleep opportunity involved extension, further restriction or total deprivation of sleep, neurobehavioural functioning during the subsequent second sleep restriction period was dominated by prior sleep-wake history. Our findings revealed a profound and enduring influence of long-term sleep-wake history as a fundamental aspect of the dynamic regulation of the neurobehavioural response to sleep loss.
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Affiliation(s)
- Siobhan Banks
- Behaviour-Brain-Body Research Centre, University of South Australia, Adelaide, South Australia, Australia
| | - Christopher W. Jones
- Unit for Experimental Psychiatry, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mark E. McCauley
- Sleep and Performance Research Center and Department of Translational Medicine and Physiology, Washington State University, Spokane, Washington, USA
| | - Jillian Dorrian
- Behaviour-Brain-Body Research Centre, University of South Australia, Adelaide, South Australia, Australia
| | - Mathias Basner
- Unit for Experimental Psychiatry, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Greg Maislin
- Biomedical Statistical Consulting, Wynnewood, Pennsylvania, USA
| | - Hans P. A. Van Dongen
- Sleep and Performance Research Center and Department of Translational Medicine and Physiology, Washington State University, Spokane, Washington, USA
| | - David F. Dinges
- Unit for Experimental Psychiatry, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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24
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Boersma GJ, Mijnster T, Vantyghem P, Kerkhof GA, Lancel M. Shift work is associated with extensively disordered sleep, especially when working nights. Front Psychiatry 2023; 14:1233640. [PMID: 38161719 PMCID: PMC10755475 DOI: 10.3389/fpsyt.2023.1233640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 10/17/2023] [Indexed: 01/03/2024] Open
Abstract
Background Shift work is generally associated with working and sleeping out of phase with the endogenous, circadian sleep-wake cycle. This exerts detrimental effects on sleep health. The present study aimed at evaluating the presence of short and long sleep as well as sleep disorders within a broad range of shift work schedules and elucidating the role of sociodemographic factors therein. Methods A large dataset containing information on sleep was collected through advertisement in a Belgium newspaper (De Standaard). Adult, working individuals were selected (n = 37,662) and categorized based on their work schedule (regular day, early morning, evening, night, and rotating shift). In this cross-sectional study, prevalence rates of short sleep (≤6 h), long sleep (≥9 h) and sleep disorders (screened with Holland Sleep Disorders Questionnaire), and associations between these sleep variables and sociodemographics (age, sex, education, living companion(s)) were analyzed using binominal logistic regression analyses. Results In the total sample all sociodemographic factors affected prevalences of short, long and disordered sleep, consistent with previous studies. Compared to day workers, shift workers more frequently reported short sleep, most prominently night workers (26 vs. 50%) (p < 0.001). Furthermore, all sleep disorders as well as sleep disorder comorbidity were more common in shift workers, again most pronounced in night workers (all p < 0.05). In night shift workers the level of education had the strongest associations with disturbed sleep with a two-fold higher prevalence of short and disordered sleep in low relative to academic educated groups (all p < 0.02). Conclusion Shift work is related not only to curtailed sleep and shift work disorder, but also to a plethora of sleep disorders, including insomnia, sleep-related breathing disorders and sleep-related movement disorders. Our findings imply that education on coping strategies may be especially important for young and/or lower educated shift workers.
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Affiliation(s)
- G. J. Boersma
- Forensic Psychiatric Hospital, GGZ Drenthe Mental Health Institute, Assen, Netherlands
| | - T. Mijnster
- Centre of Expertise on Sleep and Psychiatry, GGZ Drenthe Mental Health Institute, Assen, Netherlands
- Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Groningen, Netherlands
| | - P. Vantyghem
- De Standaard (Daily Newspaper), Mediahuis, Brussels, Belgium
| | - G. A. Kerkhof
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
- Sleep Disorders Center, Haaglanden Medical Center (HMC), The Hague, Netherlands
| | - Marike Lancel
- Forensic Psychiatric Hospital, GGZ Drenthe Mental Health Institute, Assen, Netherlands
- Centre of Expertise on Sleep and Psychiatry, GGZ Drenthe Mental Health Institute, Assen, Netherlands
- Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Groningen, Netherlands
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25
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Pilcher JJ, Grandits JB, Wilkes MJ, Lindsey MM. Time-of-day effects on speed and accuracy performance during simulated shiftwork. Chronobiol Int 2023; 40:1529-1545. [PMID: 37982195 DOI: 10.1080/07420528.2023.2283572] [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: 03/24/2023] [Accepted: 11/09/2023] [Indexed: 11/21/2023]
Abstract
Performance on tasks involving speed and accuracy fluctuate throughout the 24-h day negatively affecting shift workers and organizations. Two simulated work shifts common in occupational settings were used to assess performance on a vigilance and math task. In study 1, 33 sleep-deprived participants completed a nightshift. In study 2, 32 partially sleep-deprived participants completed a dayshift. These studies found that performance differed between the type of task and the type of simulated shift where performance during the nightshift was worse than during the dayshift. In addition, collapsing speed and accuracy on the math task into inverse efficiency scores provided a unique measure that captured the impact of circadian rhythms during shiftwork. The current study also indicated that participants adopted cognitive strategies including speed-accuracy tradeoff and regulatory foci regarding work motivation (prevention focus and promotion focus) when completing the tasks depending on time-of-day, type of shift, circadian rhythms, and amount of sleep deprivation. This suggests that researchers and organizations should consider cognitive strategies in addition to the physiological components of sleep deprivation and circadian rhythms when investigating and documenting the impact of time-of-day due to different types of shiftwork conditions on performance and safety.
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Affiliation(s)
- June J Pilcher
- Department of Psychology, Clemson University, Clemson, South Carolina, USA
| | | | - Margaret J Wilkes
- Department of Psychology, Clemson University, Clemson, South Carolina, USA
| | - Monica M Lindsey
- Department of Psychology, Clemson University, Clemson, South Carolina, USA
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26
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Marando I, Lushington K, Owen M, Matthews RW, Banks S. The sleep, circadian, and cognitive performance consequences of watchkeeping schedules in submariners: A scoping review. Sleep Med Rev 2023; 72:101845. [PMID: 37677995 DOI: 10.1016/j.smrv.2023.101845] [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: 03/27/2023] [Revised: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 09/09/2023]
Abstract
Watchkeeping schedules are essential for maintaining submarine operations, but come with human risk factors including, disrupted sleep, circadian misalignment, and cognitive deficits. There is now an emerging literature examining the strengths and weaknesses of submarine watchkeeping schedules trialled in the field and under simulated laboratory conditions. The aim of this scoping review was to summarise this literature. A systematic search of peer-reviewed journal articles and industry reports listed in MEDLINE, PsychINFO, PubMed, Scopus, Embase and Google Scholar undertaken in May 2023 returned 7298 papers. Following screening procedures, 13 studies were identified for inclusion. The findings revealed that sleep was sufficiently preserved regardless of watchkeeping schedule (total sleep time = 5.46-7.89 h), circadian misalignment was greater for non-24 h schedules, and longer off-watch periods were associated with better cognitive performance. Taken together, when comparing between watchkeeping schedules, the present findings suggest that the 4 h-on/8 h-off and 8 h-on/16 h-off schedules may be a good compromise when balancing human risk factors and operational demands. However, submarines are complex and challenging environments to study and there is a need to expand the literature. More research comparing watchkeeping schedules is needed. Future studies should focus on cognitive performance measures, such as problem-solving, prioritisation and executive decision-making to address present shortcomings, and an examination of sleep and circadian countermeasures to assist with adaptation either initiated pre-deployment or by modifying the submarine environment itself should be considered.
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Affiliation(s)
- Isabella Marando
- Behaviour-Brain-Body Research Centre, University of South Australia, Australia.
| | - Kurt Lushington
- Behaviour-Brain-Body Research Centre, University of South Australia, Australia
| | - Mikaela Owen
- Behaviour-Brain-Body Research Centre, University of South Australia, Australia
| | | | - Siobhan Banks
- Behaviour-Brain-Body Research Centre, University of South Australia, Australia
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27
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Andrillon T, Oudiette D. What is sleep exactly? Global and local modulations of sleep oscillations all around the clock. Neurosci Biobehav Rev 2023; 155:105465. [PMID: 37972882 DOI: 10.1016/j.neubiorev.2023.105465] [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: 01/17/2023] [Revised: 09/29/2023] [Accepted: 11/10/2023] [Indexed: 11/19/2023]
Abstract
Wakefulness, non-rapid eye-movement (NREM) and rapid eye-movement (REM) sleep differ from each other along three dimensions: behavioral, phenomenological, physiological. Although these dimensions often fluctuate in step, they can also dissociate. The current paradigm that views sleep as made of global NREM and REM states fail to account for these dissociations. This conundrum can be dissolved by stressing the existence and significance of the local regulation of sleep. We will review the evidence in animals and humans, healthy and pathological brains, showing different forms of local sleep and the consequences on behavior, cognition, and subjective experience. Altogether, we argue that the notion of local sleep provides a unified account for a host of phenomena: dreaming in REM and NREM sleep, NREM and REM parasomnias, intrasleep responsiveness, inattention and mind wandering in wakefulness. Yet, the physiological origins of local sleep or its putative functions remain unclear. Exploring further local sleep could provide a unique and novel perspective on how and why we sleep.
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Affiliation(s)
- Thomas Andrillon
- Paris Brain Institute, Sorbonne Université, Inserm-CNRS, Paris 75013, France; Monash Centre for Consciousness & Contemplative Studies, Monash University, Melbourne, VIC 3800, Australia.
| | - Delphine Oudiette
- Paris Brain Institute, Sorbonne Université, Inserm-CNRS, Paris 75013, France
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28
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Wang Q, Xu S, Liu F, Liu Y, Chen K, Huang L, Xu F, Liu Y. Causal relationship between sleep traits and cognitive impairment: A Mendelian randomization study. J Evid Based Med 2023; 16:485-494. [PMID: 38108111 DOI: 10.1111/jebm.12576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/30/2023] [Indexed: 12/19/2023]
Abstract
OBJECTIVE Observational studies had demonstrated a link between sleep disturbances and cognitive decline. Here, we aimed to investigate the causal association between genetically predicted sleep traits and cognitive impairment using Mendelian randomization (MR). METHODS Using strict criteria, we selected genetic variants from European ancestry Genome-wide association studies (GWAS) from the Sleep Disorders Knowledge Portal and UK Biobank as instrumental variables for several sleep traits, including insomnia, sleep duration, daytime sleepiness, daytime napping, and chronotype. Summary statistics related to cognitive impairment were derived from five different GWAS, including the Social Science Genetic Association Consortium. The role of self-reported sleep trait phenotypes in the etiology of cognitive impairment was explored using inverse-variance weighted (IVW) tests, MR-Egger tests, and weighted medians, and sensitivity analyses were conducted to ensure robustness. RESULTS In the main IVW analysis, sleep duration (reaction time: β = -0.05, 95% CI -0.07 to -0.04, p = 1.93×10-12 ), daytime sleepiness (average cortical thickness: β = -0.12, 95% CI -0.22 to -0.02, p = 0.023), and daytime napping (fluid intelligence: β = -0.47, 95% CI -0.87 to -0.07, p = 0.021; hippocampal volume in Alzheimer's disease: β = -0.99, 95% CI -1.64 to -0.35, p = 0.002) were significantly negatively correlated with cognitive performance. However, any effects of insomnia and chronotype on cognitive impairment were not determined. CONCLUSIONS Our findings highlighted that focusing on sleep behaviors or distinct sleep patterns-particularly sleep duration, daytime sleepiness, and daytime napping, was a promising approach for preventing cognitive impairment. This study also shed light on risk factors for and potential early markers of cognitive impairment risk factors.
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Affiliation(s)
- Qing Wang
- The Second Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Shihan Xu
- The Second Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Fenglan Liu
- School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yanfei Liu
- The Second Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Keji Chen
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Luqi Huang
- China Evidence-based Medicine Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Fengqin Xu
- The Second Department of Geriatrics, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yue Liu
- National Clinical Research Center for Traditional Chinese Medicine Cardiology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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Bottenheft C, Hogenelst K, Stuldreher I, Kleemann R, Groen E, van Erp J, Brouwer AM. Understanding the combined effects of sleep deprivation and acute social stress on cognitive performance using a comprehensive approach. Brain Behav Immun Health 2023; 34:100706. [PMID: 38033613 PMCID: PMC10685043 DOI: 10.1016/j.bbih.2023.100706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 10/19/2023] [Accepted: 11/05/2023] [Indexed: 12/02/2023] Open
Abstract
Background Sleep deprivation (SD) and acute social stress are common, often unavoidable, and frequently co-occurring stressors in high-risk professions. Both stressors are known to acutely induce inflammatory responses and an increasing body of literature suggests this may lead to cognitive impairment. This study examined the combined effects of total SD and acute social stress on cognitive performance and took a comprehensive approach to explore their (shared) underlying mechanism leading to cognitive decline. Method We recorded cognitive performance on a response inhibition task and a multitask and monitored a range of inflammatory, psychophysiological and self-reported markers in 101 participants, both before and after one night of either sleep (control group: N = 48) or SD (N = 53), and both before and after a social stressor (Trier Social Stress Test). Results SD decreased cognitive performance. The social stress test also results in cognitive performance decline in the control group on the response inhibition task, but improved rather than decreased performance of sleep deprived participants on both tasks. The subjective ratings of mental effort also reflect this antagonistic interaction, indicating that the social stressor when sleep-deprived also reduced mental effort. In the inflammatory and physiological measures, this pattern was only reflected by IL-22 in blood. SD reduced blood IL-22 concentrations, and the social stress reduced IL-22 in the control group as well, but not in sleep-deprived participants. There were no interactive effects of SD and social stress on any other inflammatory or psychophysiological measures. The effects of the social stress test on autonomic measures and subjective results suggest that increased arousal may have benefited sleep-deprived participants' cognitive performance. Discussion SD generally decreased cognitive performance and increased required mental effort. By contrast, the isolated effects of a social stressor were not generic, showing a positive effect on cognitive performance when sleep deprived. Our study is the first that studied combined effects of sleep deprivation and acute social stress on cognitive performance and inflammatory markers. It provides a comprehensive overview of effects of these stressors on a range of variables. We did not show unequivocal evidence of an underlying physiological mechanism explaining changes in performance due to (the combination of) sleep deprivation and social stress, but consider IL-22 as a possible cytokine involved in this mechanism and certainly worth following up on in future research.
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Affiliation(s)
- Charelle Bottenheft
- TNO, Human Performance, Kampweg 55, 3679DE, Soesterberg, the Netherlands
- Human Media Interaction, Computer Science, University of Twente, the Netherlands
| | - Koen Hogenelst
- TNO, Human Performance, Kampweg 55, 3679DE, Soesterberg, the Netherlands
| | - Ivo Stuldreher
- TNO, Human Performance, Kampweg 55, 3679DE, Soesterberg, the Netherlands
- Human Media Interaction, Computer Science, University of Twente, the Netherlands
| | - Robert Kleemann
- TNO, Metabolic Health Research, Zernikedreef 9, 2333CK, Leiden, the Netherlands
| | - Eric Groen
- TNO, Human Performance, Kampweg 55, 3679DE, Soesterberg, the Netherlands
| | - Jan van Erp
- TNO, Human Machine Teaming, Kampweg 55, 3679DE, Soesterberg, the Netherlands
- Human Media Interaction, Computer Science, University of Twente, the Netherlands
| | - Anne-Marie Brouwer
- TNO, Human Performance, Kampweg 55, 3679DE, Soesterberg, the Netherlands
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Yao L, Wang Y, Gao Y, Gao H, Guo X. The role of the fronto-parietal network in modulating sustained attention under sleep deprivation: an functional magnetic resonance imaging study. Front Psychiatry 2023; 14:1289300. [PMID: 38034912 PMCID: PMC10687171 DOI: 10.3389/fpsyt.2023.1289300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 10/27/2023] [Indexed: 12/02/2023] Open
Abstract
Objective The intricate relationship between sleep deprivation (SD) and cognitive performance has long been a subject of research. Our study offers a novel angle by closely examining the neurobiological underpinnings of sustained attention deficits through the lens of the fronto-parietal network (FPN). Using state-of-the-art imaging techniques, we delve into the changes in spontaneous brain activity after SD and explore their associations with performance on the psychomotor vigilance task (PVT). Methods We conducted an elaborate investigation involving 64 healthy, right-handed participants who underwent resting-state functional MRI scans before and after experiencing 24 h of sleep deprivation. Employing sophisticated statistical analyses, we scrutinized the changes in fractional amplitude of low-frequency fluctuations (fALFF) through paired t-tests. Pearson correlation analyses were then applied to dissect the associations between these neurobiological shifts and behavioral outcomes in PVT. Results The study yielded remarkable findings, revealing a dramatic decrease in fALFF values within critical areas of the FPN following SD. These alterations predominantly occurred in the frontal and parietal gyri and were inversely correlated with PVT performance metrics. Furthermore, we discovered that baseline fALFF values in the left dorsolateral prefrontal cortex (DLPFC) have the potential to serve as compelling neurobiological markers, with high discriminatory power in identifying individual responses to the adverse effects of SD on cognitive performance. Conclusion Our groundbreaking research underscores the pivotal role that the FPN plays in modulating attention and executive function, especially under the challenging conditions brought about by sleep deprivation. The findings offer critical insights that could shape the way we understand, assess, and potentially mitigate the cognitive impacts of SD, setting the stage for future research in this riveting domain.
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Affiliation(s)
- Linming Yao
- The Tuberculosis Control and Prevention Hospital of Shaanxi Province (The Fifth People’s Hospital of Shaanxi Province), Xi’an, China
| | - Yajing Wang
- Department of Orthopaedics, Xi’an No. 9 Hospital, Xi’an, China
| | - Yanzhong Gao
- Department of Orthopaedics, Xi’an No. 9 Hospital, Xi’an, China
| | - Hongwei Gao
- Department of Orthopaedics, Xi’an No. 9 Hospital, Xi’an, China
| | - Xufeng Guo
- Department of Orthopaedics, Xi’an No. 9 Hospital, Xi’an, China
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Song F, Walker MP. Sleep, alcohol, and caffeine in financial traders. PLoS One 2023; 18:e0291675. [PMID: 37939019 PMCID: PMC10631622 DOI: 10.1371/journal.pone.0291675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 09/02/2023] [Indexed: 11/10/2023] Open
Abstract
Alcohol and caffeine are two of the most commonly used substances for altering human consciousness. While their adverse effects on sleep have been separately examined in the laboratory and epidemiological levels, how they impact real-world night-to-night sleep, in isolation or together, remains unclear. This is especially true in occupations wherein the use of alcohol and caffeine is high (e.g., financial services sector). Using a six-week micro-longitudinal study, here we examined the real-world impact of alcohol, caffeine, and their combined consumption in a cohort of financial traders. We demonstrate that alcohol consumption significantly degrades the subjective quality of sleep (p < 0.001). Caffeine consumption led to a different phenotype of sleep impairment, resulting in a detrimental reduction in sleep quantity (p = 0.019), rather than a marked alteration in sleep quality. Contrary to our hypothesis, when consumed in combination, evening alcohol consumption interacted with ongoing caffeine consumption such that alcohol partially mitigated the impairments in sleep quantity associated with caffeine (p = 0.032). This finding suggests the sedating effects of alcohol and the psychoactive stimulant effects of caffeine obscure each other's impact on sleep quantity and sleep quality, respectively-potentially explaining their interdependent use in this cohort (i.e., "self-medication" of evening sedation with alcohol to combat the prior daytime ingestion of caffeine and vice versa). More generally, these results contribute to a unique understanding of the singular and combinatory impacts of two of the most commonly used substances for augmenting human consciousness under free-living, real-world conditions, the performance-impairing (and thus economic-cost) consequences of which may be important to the business sector and the society.
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Affiliation(s)
- Frank Song
- Center for the Study of Health and Risk Behaviors, Department of Psychiatry, University of Washington, Seattle, Washington, United States of America
- Center for Human Sleep Science, Department of Psychology, University of California, Berkeley, California, United States of America
| | - Matthew P. Walker
- Center for Human Sleep Science, Department of Psychology, University of California, Berkeley, California, United States of America
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Vanrobaeys Y, Peterson ZJ, Walsh EN, Chatterjee S, Lin LC, Lyons LC, Nickl-Jockschat T, Abel T. Spatial transcriptomics reveals unique gene expression changes in different brain regions after sleep deprivation. Nat Commun 2023; 14:7095. [PMID: 37925446 PMCID: PMC10625558 DOI: 10.1038/s41467-023-42751-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 10/20/2023] [Indexed: 11/06/2023] Open
Abstract
Sleep deprivation has far-reaching consequences on the brain and behavior, impacting memory, attention, and metabolism. Previous research has focused on gene expression changes in individual brain regions, such as the hippocampus or cortex. Therefore, it is unclear how uniformly or heterogeneously sleep loss affects the brain. Here, we use spatial transcriptomics to define the impact of a brief period of sleep deprivation across the brain in male mice. We find that sleep deprivation induced pronounced differences in gene expression across the brain, with the greatest changes in the hippocampus, neocortex, hypothalamus, and thalamus. Both the differentially expressed genes and the direction of regulation differed markedly across regions. Importantly, we developed bioinformatic tools to register tissue sections and gene expression data into a common anatomical space, allowing a brain-wide comparison of gene expression patterns between samples. Our results suggest that distinct molecular mechanisms acting in discrete brain regions underlie the biological effects of sleep deprivation.
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Affiliation(s)
- Yann Vanrobaeys
- Interdisciplinary Graduate Program in Genetics, University of Iowa, 357 Medical Research Center Iowa City, Iowa, IA, USA
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, 169 Newton Road, 2312 Pappajohn Biomedical Discovery Building, Iowa City, IA, USA
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, 51 Newton Road, 2-417B Bowen Science Building, Iowa City, IA, USA
| | - Zeru J Peterson
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, 169 Newton Road, 2312 Pappajohn Biomedical Discovery Building, Iowa City, IA, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Emily N Walsh
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, 169 Newton Road, 2312 Pappajohn Biomedical Discovery Building, Iowa City, IA, USA
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, 51 Newton Road, 2-417B Bowen Science Building, Iowa City, IA, USA
- Interdisciplinary Graduate Program in Neuroscience, University of Iowa, 356 Medical Research Center, Iowa City, IA, USA
| | - Snehajyoti Chatterjee
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, 169 Newton Road, 2312 Pappajohn Biomedical Discovery Building, Iowa City, IA, USA
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, 51 Newton Road, 2-417B Bowen Science Building, Iowa City, IA, USA
| | - Li-Chun Lin
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, 169 Newton Road, 2312 Pappajohn Biomedical Discovery Building, Iowa City, IA, USA
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, 51 Newton Road, 2-417B Bowen Science Building, Iowa City, IA, USA
- Department of Neurology, University of Iowa, Iowa City, IA, USA
| | - Lisa C Lyons
- Program in Neuroscience, Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Thomas Nickl-Jockschat
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, 169 Newton Road, 2312 Pappajohn Biomedical Discovery Building, Iowa City, IA, USA.
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, 51 Newton Road, 2-417B Bowen Science Building, Iowa City, IA, USA.
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA.
| | - Ted Abel
- Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, 169 Newton Road, 2312 Pappajohn Biomedical Discovery Building, Iowa City, IA, USA.
- Department of Neuroscience and Pharmacology, Carver College of Medicine, University of Iowa, 51 Newton Road, 2-417B Bowen Science Building, Iowa City, IA, USA.
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Chan MMY, Choi CXT, Tsoi TCW, Shea CKS, Yiu KWK, Han YMY. Effects of multisession cathodal transcranial direct current stimulation with cognitive training on sociocognitive functioning and brain dynamics in autism: A double-blind, sham-controlled, randomized EEG study. Brain Stimul 2023; 16:1604-1616. [PMID: 37918630 DOI: 10.1016/j.brs.2023.10.012] [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: 07/04/2023] [Revised: 10/15/2023] [Accepted: 10/23/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND Few treatment options are available for targeting core symptoms of autism spectrum disorder (ASD). The development of treatments that target common neural circuit dysfunctions caused by known genetic defects, namely, disruption of the excitation/inhibition (E/I) balance, is promising. Transcranial direct current stimulation (tDCS) is capable of modulating the E/I balance in healthy individuals, yet its clinical and neurobiological effects in ASD remain elusive. OBJECTIVE This double-blind, randomized, sham-controlled trial investigated the effects of multisession cathodal prefrontal tDCS coupled with online cognitive remediation on social functioning, information processing efficiency and the E/I balance in ASD patients aged 14-21 years. METHODS Sixty individuals were randomly assigned to receive either active or sham tDCS (10 sessions in total, 20 min/session, stimulation intensity: 1.5 mA, cathode: F3, anode: Fp2, size of electrodes: 25 cm2) combined with 20 min of online cognitive remediation. Social functioning, information processing efficiency during cognitive tasks, and theta- and gamma-band E/I balance were measured one day before and after the treatment. RESULTS Compared to sham tDCS, active cathodal tDCS was effective in enhancing overall social functioning [F(1, 58) = 6.79, p = .012, ηp2 = 0.105, 90% CI: (0.013, 0.234)] and information processing efficiency during cognitive tasks [F(1, 58) = 10.07, p = .002, ηp2 = 0.148, 90% CI: (0.034, 0.284)] in these individuals. Electroencephalography data showed that this cathodal tDCS protocol was effective in reducing the theta-band E/I ratio of the cortical midline structures [F(1, 58) = 4.65, p = .035, ηp2 = 0.074, 90% CI: (0.010, 0.150)] and that this reduction significantly predicted information processing efficiency enhancement (b = -2.546, 95% BCa CI: [-4.979, -0.113], p = .041). CONCLUSION Our results support the use of multisession cathodal tDCS over the left dorsolateral prefrontal cortex combined with online cognitive remediation for reducing the elevated theta-band E/I ratio in sociocognitive information processing circuits in ASD patients, resulting in more adaptive regulation of global brain dynamics that is associated with enhanced information processing efficiency after the intervention.
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Affiliation(s)
- Melody M Y Chan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region; Queensland Brain Institute, The University of Queensland, St Lucia, QLD, 4072, Australia
| | - Coco X T Choi
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Tom C W Tsoi
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Caroline K S Shea
- Alice Ho Miu Ling Nethersole Hospital, Hospital Authority, Hong Kong Special Administrative Region; Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Klaire W K Yiu
- Alice Ho Miu Ling Nethersole Hospital, Hospital Authority, Hong Kong Special Administrative Region
| | - Yvonne M Y Han
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region; University Research Facility in Behavioral and Systems Neuroscience (UBSN), The Hong Kong Polytechnic University, Hong Kong Special Administrative Region.
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Sadek J. Attention Deficit Hyperactivity Disorder Misdiagnosis: Why Medical Evaluation Should Be a Part of ADHD Assessment. Brain Sci 2023; 13:1522. [PMID: 38002482 PMCID: PMC10669410 DOI: 10.3390/brainsci13111522] [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: 09/15/2023] [Revised: 10/19/2023] [Accepted: 10/27/2023] [Indexed: 11/26/2023] Open
Abstract
INTRODUCTION Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that interferes with multiple aspects of daily functioning and is associated with impairments in several domains. It may affect academic, educational, vocational, social, emotional, interpersonal, and health domains, and worsen risks to health outcomes. OBJECTIVE To identify and discuss medical conditions that commonly present with symptoms resembling ADHD. METHOD This review is selective and not systematic. It is conducted through a focused literature search through PubMed, Google Scholar, and EMBASE. Search term included "ADHD misdiagnosis", "medical conditions with ADHD like symptoms", "ADHD AND medical problems". EXCLUSION giftedness, high IQ, and any article that does not list medical conditions. The limits applied were the following: the work must have been published in the past 20 years, be on humans, and be in the English language. RESULTS There are several medical conditions that can be misdiagnosed as ADHD and may show a similar presentation to ADHD, particularly with inattentive symptoms. Examples include, but are not limited to, absence seizure disorder, diabetes, thyroid dysfunction, sleep deprivation, post-concussion states, inflammatory bowel disease, iron deficiency states and anemia, and disordered breathing. CONCLUSIONS Our review suggests that a thorough medical evaluation should be conducted prior to the diagnosis of ADHD. Allied health professionals and psychologists who diagnose ADHD should seek medical clearance from a physician prior to making the ADHD diagnosis in order to reduce misdiagnosis rates and improve patient outcomes. ADHD diagnosis should follow guidelines and be carried out under a systematic standardized approach. A full medical evaluation should be conducted to assess for medical conditions that may look like ADHD or be associated with ADHD.
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Affiliation(s)
- Joseph Sadek
- Department of Psychiatry, Dalhousie University, Halifax, NS B3H4K3, Canada
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Chaudhary IS, Shyi GCW, Huang STT. A systematic review and activation likelihood estimation meta-analysis of fMRI studies on arousing or wake-promoting effects in Buddhist meditation. Front Psychol 2023; 14:1136983. [PMID: 38022985 PMCID: PMC10646186 DOI: 10.3389/fpsyg.2023.1136983] [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: 02/13/2023] [Accepted: 09/22/2023] [Indexed: 12/01/2023] Open
Abstract
Conventional Buddhist texts illustrate meditation as a condition of relaxed alertness that must fend against extreme hypoarousal (sleep, drowsiness) and extreme hyperarousal (restlessness). Theoretical, neurophysiological, and neuroimaging investigations of meditation have highlighted the relaxing effects and hypoarousing without emphasizing the alertness-promoting effects. Here we performed a systematic review supported by an activation-likelihood estimate (ALE) meta-analysis in an effort to counterbalance the surfeit of scholarship emphasizing the hypoarousing and relaxing effects of different forms of Buddhist meditation. Specifically, the current systematic review-cum-meta-analytical review seeks to highlight more support for meditation's wake-promoting effects by drawing from neuroimaging research during wakefulness and meditation. In this systematic review and meta-analysis of 22 fMRI studies, we aim to highlight support for Buddhist meditation's wake-promoting or arousing effects by identifying brain regions associated with alertness during meditation. The most significant peaks were localized medial frontal gyrus (MFG) and precuneus. We failed to determine areas ostensibly common to alertness-related meditation such as the medial prefrontal cortex (mPFC), superior parietal lobule, basal ganglia, thalamus, most likely due to the relatively fewer fMRI investigations that used wakefulness-promoting meditation techniques. Also, we argue that forthcoming research on meditation, related to alertness or wakefulness, continues to adopt a multi-modal method to investigate the correlation between actual behaviors and neural networks connected to Buddhist meditation. Moreover, we recommend the implementation of fMRI paradigms on Buddhist meditation with clinically diagnosed participants to complement recent trends in psychotherapy such as mindfulness-based cognitive therapy (MBCT).
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Affiliation(s)
- Inder S. Chaudhary
- PhD Program in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Center for Research in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Department of Psychology, National Chung Cheng University, Chiayi City, Taiwan
| | - Gary Chon-Wen Shyi
- PhD Program in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Center for Research in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Department of Psychology, National Chung Cheng University, Chiayi City, Taiwan
| | - Shih-Tseng Tina Huang
- PhD Program in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Center for Research in Cognitive Sciences, National Chung Cheng University, Chiayi City, Taiwan
- Department of Psychology, National Chung Cheng University, Chiayi City, Taiwan
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Yang B, Zhang H, Jiang T, Yu S. Natural brain state change with E/I balance shifting toward inhibition is associated with vigilance impairment. iScience 2023; 26:107963. [PMID: 37822500 PMCID: PMC10562778 DOI: 10.1016/j.isci.2023.107963] [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: 04/20/2023] [Revised: 07/25/2023] [Accepted: 09/15/2023] [Indexed: 10/13/2023] Open
Abstract
The delicate balance between cortical excitation and inhibition (E/I) plays a pivotal role in brain state changes. While previous studies have associated cortical hyperexcitability with brain state changes induced by sleep deprivation, whether cortical hypoexcitability is also linked to brain state changes and, if so, how it could affect cognitive performance remain unknown. Here, we address these questions by examining the brain state change occurring after meals, i.e., postprandial somnolence, and comparing it with that induced by sleep deprivation. By analyzing features representing network excitability based on electroencephalogram (EEG) signals, we confirmed cortical hyperexcitability under sleep deprivation but revealed hypoexcitability under postprandial somnolence. In addition, we found that both sleep deprivation and postprandial somnolence adversely affected the level of vigilance. These results indicate that cortical E/I balance toward inhibition is associated with brain state changes, and deviation from the balanced state, regardless of its direction, could impair cognitive performance.
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Affiliation(s)
- Binghao Yang
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Haoran Zhang
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 101408, China
| | - Tianzi Jiang
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 101408, China
- Research Center for Augmented Intelligence, Zhejiang Lab, Hangzhou 311121, China
| | - Shan Yu
- Brainnetome Center, Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
- School of Future Technology, University of Chinese Academy of Sciences, Beijing 101408, China
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Urushihata T, Goto M, Kabetani K, Kiyozuka M, Maruyama S, Tsuji S, Tada H, Satoh A. Evaluation of cellular activity in response to sleep deprivation by a comprehensive analysis of the whole mouse brain. Front Neurosci 2023; 17:1252689. [PMID: 37928729 PMCID: PMC10620513 DOI: 10.3389/fnins.2023.1252689] [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: 07/04/2023] [Accepted: 09/12/2023] [Indexed: 11/07/2023] Open
Abstract
Sleep deprivation (SD) causes several adverse functional outcomes, and understanding the associated processes can improve quality of life. Although the effects of SD on neuronal activity in several brain regions have been identified, a comprehensive evaluation of the whole brain is still lacking. Hence, we performed SD using two different methods, gentle handling and a dedicated chamber, in targeted recombination in active populations 2 (TRAP2) mice crossed with Rosa-ZsGreen reporter mice and visualized cellular activity in the whole brain. Using the semi-automated post-imaging analysis tool Slice Histology Alignment, Registration, and Cell Quantification (SHARCQ), the number of activated cells was quantified. From the analysis of 14 brain regions, cellular activity was significantly increased in the olfactory areas and decreased in the medulla by the two SD methods. From the analysis of the further subdivided 348 regions, cellular activity was significantly increased in the vascular organ of the lamina terminalis, lateral hypothalamic area, parabigeminal nucleus, ventral tegmental area, and magnocellular reticular nucleus, and decreased in the anterior part of the basolateral amygdalar nucleus, nucleus accumbens, septohippocampal nucleus, reticular nucleus of the thalamus, preoptic part of the periventricular hypothalamic nucleus, ventromedial preoptic nucleus, rostral linear nucleus raphe, facial motor nucleus, vestibular nuclei, and some fiber tracts (oculomotor nerve, genu of corpus callosum, and rubrospinal tract) by the two SD methods. Two subdivided regions of the striatum (caudoputamen and other striatum), epithalamus, vascular organ of the lamina terminalis, anteroventral preoptic nucleus, superior colliculus optic layer, medial terminal nucleus of the accessory optic tract, pontine gray, and fiber tracts (medial lemniscus, columns of the fornix, brachium of the inferior colliculus, and mammillary peduncle) were differentially affected by the two SD methods. Most brain regions detected from these analyses have been reported to be involved in regulating sleep/wake regulatory circuits. Moreover, the results from the connectivity analysis indicated that the connectivity of cellular activity among brain regions was altered by SD. Together, such a comprehensive analysis of the whole brain is useful for understanding the mechanisms by which SD and/or sleep disruption affects brain function.
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Affiliation(s)
- Takuya Urushihata
- Department of Integrative Physiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Integrative Physiology, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Mio Goto
- Department of Integrative Physiology, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Keiko Kabetani
- Department of Integrative Physiology, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Mai Kiyozuka
- Department of Integrative Physiology, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Nutrition, Faculty of Wellness, Shigakkan University, Obu, Japan
| | - Shiho Maruyama
- Department of Integrative Physiology, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Nutrition, Faculty of Wellness, Shigakkan University, Obu, Japan
| | - Shogo Tsuji
- Department of Integrative Physiology, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Hirobumi Tada
- Department of Integrative Physiology, National Center for Geriatrics and Gerontology, Obu, Japan
- Department of Nutrition, Faculty of Wellness, Shigakkan University, Obu, Japan
- Department of Physiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Akiko Satoh
- Department of Integrative Physiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Integrative Physiology, National Center for Geriatrics and Gerontology, Obu, Japan
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Yu K, Hao L, Bu F, Guo Y, Duan Y, Hu R, Lu J, Li P. Knowledge structure and emerging trends of cognitive impairment induced by sleep deprivation: A bibliometric analysis based on CiteSpace and VOSviewer from 2000 to 2022. Medicine (Baltimore) 2023; 102:e34776. [PMID: 37800755 PMCID: PMC10552981 DOI: 10.1097/md.0000000000034776] [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: 02/28/2023] [Accepted: 07/26/2023] [Indexed: 10/07/2023] Open
Abstract
This paper implements a bibliometric approach to investigate the research hotspots and future research directions in the relevant field literature. It also offers research ideas and methods for preventing and treating cognitive impairment induced by sleep deprivation in the clinical setting. The evolution of various clusters in the field is summarized through Citespace's projection function for keywords in the literature. CiteSpace and Vosviewer are utilized to analyze and visualize the attributes of the articles, including number of publications, citation frequency, country/region, institution, journal, authors, keywords, and references, from the 2280 publications obtained. A total of 2280 publications were collected, with the number of papers and citations in the field continuously increasing year by year. The most influential country in this field is the United States, and the University of Washington is the most influential institution. The most authoritative journal in the field is identified as SLEEP. Sleep deprivation, prefrontal cortex, and performance are the current topics of interest. The article with the strongest citation burst, lasting from 2015 to 2018, is "Sleep Drives Metabolite Clearance from the Adult Brain." The most influential article and co-cited reference, "Neurocognitive Consequences of Sleep Deprivation," highlights that sleep deprivation from various causes may lead to cognitive impairment. Future research should investigate all forms of cognitive impairment resulting from sleep deprivation. The findings of this study will assist researchers in improving their knowledge structure, identifying research hotspots, and revealing future directions in the field.
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Affiliation(s)
- Kai Yu
- The First Affiliated Hospital of Inner Mongolia Medical University, Inner Mongolia, China
- Urology Department, The First Hospital of Jilin University Changchun, Changchun, China
| | - Lei Hao
- Department of Pathophysiology, Inner Mongolia Medical University, Inner Mongolia, China
| | - Fan Bu
- The First Affiliated Hospital of Inner Mongolia Medical University, Inner Mongolia, China
| | - Yuanzhi Guo
- The First Affiliated Hospital of Inner Mongolia Medical University, Inner Mongolia, China
| | - Yaqi Duan
- The First Affiliated Hospital of Inner Mongolia Medical University, Inner Mongolia, China
| | - Rui Hu
- Urology Department, The First Hospital of Jilin University Changchun, Changchun, China
| | - Ji Lu
- Urology Department, The First Hospital of Jilin University Changchun, Changchun, China
| | - Peng Li
- The First Affiliated Hospital of Inner Mongolia Medical University, Inner Mongolia, 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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Sharma A, Feng L, Muresanu DF, Tian ZR, Lafuente JV, Buzoianu AD, Nozari A, Bryukhovetskiy I, Manzhulo I, Wiklund L, Sharma HS. Sleep deprivation enhances amyloid beta peptide, p-tau and serotonin in the brain: Neuroprotective effects of nanowired delivery of cerebrolysin with monoclonal antibodies to amyloid beta peptide, p-tau and serotonin. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 171:125-162. [PMID: 37783554 DOI: 10.1016/bs.irn.2023.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Sleep deprivation is quite frequent in military during combat, intelligence gathering or peacekeeping operations. Even one night of sleep deprivation leads to accumulation of amyloid beta peptide burden that would lead to precipitation of Alzheimer's disease over the years. Thus, efforts are needed to slow down or neutralize accumulation of amyloid beta peptide (AβP) and associated Alzheimer's disease brain pathology including phosphorylated tau (p-tau) within the brain fluid environment. Sleep deprivation also alters serotonin (5-hydroxytryptamine) metabolism in the brain microenvironment and impair upregulation of several neurotrophic factors. Thus, blockade or neutralization of AβP, p-tau and serotonin in sleep deprivation may attenuate brain pathology. In this investigation this hypothesis is examined using nanodelivery of cerebrolysin- a balanced composition of several neurotrophic factors and active peptide fragments together with monoclonal antibodies against AβP, p-tau and serotonin (5-hydroxytryptamine, 5-HT). Our observations suggest that sleep deprivation induced pathophysiology is significantly reduced following nanodelivery of cerebrolysin together with monoclonal antibodies to AβP, p-tau and 5-HT, not reported earlier.
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Affiliation(s)
- Aruna Sharma
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Dept. of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden.
| | - Lianyuan Feng
- Department of Neurology, Bethune International Peace Hospital, Zhongshan Road (West), Shijiazhuang, Hebei Province, P.R. China
| | - Dafin F Muresanu
- Dept. Clinical Neurosciences, University of Medicine & Pharmacy, Cluj-Napoca, Romania; "RoNeuro" Institute for Neurological Research and Diagnostic, Mircea Eliade Street, Cluj-Napoca, Romania
| | - Z Ryan Tian
- Dept. Chemistry & Biochemistry, University of Arkansas, Fayetteville, AR, United States
| | - José Vicente Lafuente
- LaNCE, Dept. 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
- Department of Anesthesiology, Boston University, Albany str, 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), Dept. 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), Dept. of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden.
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Fjermestad KW, Finnbakk RR, Solbakk AK, Gravholt CH, Huster RJ. Subjective versus objective sleep in men with Klinefelter syndrome. Orphanet J Rare Dis 2023; 18:260. [PMID: 37658437 PMCID: PMC10472643 DOI: 10.1186/s13023-023-02822-2] [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: 10/04/2022] [Accepted: 07/10/2023] [Indexed: 09/03/2023] Open
Abstract
OBJECTIVES To investigate sleep among men with Klinefelter syndrome (KS). METHOD We compared the sleep domains latency, disturbance, and efficiency in 30 men with KS (M age = 36.7 years, SD = 10.6) to 21 age-matched non-KS controls (M age = 36.8 years, SD = 14.4). Actigraphs were used to objectively measure sleep across 7 days and nights. Participants also completed a sleep diary over the same period, and the Pittsburgh Sleep Quality Index (PSQI). RESULTS The mean correlation between the objective and subjective sleep measures was lower for the KS sample (M r = .15) than for controls (M r = .34). Sleep disturbance was significantly larger in the KS sample, as measured by actigraphy (p = .022, d = 0.71) and the PSQI (p = .037, d = 0.61). In regression models predicting sleep domains from KS status, age, educational level, vocational status, IQ, and mental health, KS status was not a significant predictor. Higher age was associated with more actigraphy-measured sleep disturbance. Higher educational level and being employed were associated with better sleep efficiency. CONCLUSIONS Sleep disturbance may be a particular problem for men with KS and should be measured with complimentary methods.
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Affiliation(s)
- K W Fjermestad
- Department of Psychology, University of Oslo, Forskningsveien 3a, 0373, Oslo, Norway.
- Frambu Resource Centre for Rare Disorders, Siggerud, Norway.
| | - R R Finnbakk
- Department of Psychology, University of Oslo, Forskningsveien 3a, 0373, Oslo, Norway
| | - A-K Solbakk
- Department of Psychology, University of Oslo, Forskningsveien 3a, 0373, Oslo, Norway
- RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Oslo, Norway
- Department of Neurosurgery, Oslo University Hospital, Oslo, Norway
- Department of Neuropsychology, Helgeland Hospital, Mosjøen, Norway
| | - C H Gravholt
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - R J Huster
- Department of Psychology, University of Oslo, Forskningsveien 3a, 0373, Oslo, Norway
- Sleep Unit, Department of Otorhinolaryngology/Head and Neck Surgery, Lovisenberg Diaconal Hospital, Oslo, Norway
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Yang HJ, Cheng WJ, Hsiao MC, Huang SC, Kubo T, Hang LW, Lee WS. Rest-activity rhythm associated with depressive symptom severity and attention among patients with major depressive disorder: a 12-month follow-up study. Front Psychiatry 2023; 14:1214143. [PMID: 37663595 PMCID: PMC10469591 DOI: 10.3389/fpsyt.2023.1214143] [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: 04/29/2023] [Accepted: 07/28/2023] [Indexed: 09/05/2023] Open
Abstract
Introduction Patients with depressive disorder demonstrate rest-activity rhythm disturbances and cognitive function impairment. This study examined the association of individual rest-activity rhythm changes over time with mood symptoms and attention. Methods We recruited 15 adult outpatients with a diagnosis of major depressive disorder from a single medical center and observed them for 12 months. Weekly rest-activity parameters, including rhythm characteristics generated from nonparametric circadian rhythm analysis, were retrieved from actigraphy data. Attention was evaluated weekly with a smartphone-based psychomotor vigilance test upon awakening. Depressive symptom severity was evaluated using the Beck Depression Inventory (BDI) fortnightly. The association of rest-activity parameters with BDI score and attention was examined using generalized linear mixed regression. A fixed-effects analysis was used to examine the association between rest-activity parameters and depressive episodes. Results An advanced bedtime and most active continuous 10 h starting time were associated with depressive symptom severity but also associated with higher vigilance test performance. A longer sleep duration, mainly due to an earlier bedtime, was associated with depressive symptom severity. Compared to remission, sleep duration was 27.8 min longer during depressive episodes, and bed time was 24 min earlier. A shorter sleep duration and increased activity during sleep were associated with poorer attention. Discussion Rest-activity rhythms change with mood symptoms among patients with depressive disorder. The circadian rhythms of rest-activity among patients with depressive disorder should be distinguished during various mood states in future studies.
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Affiliation(s)
- Hang-Ju Yang
- Department of Emergency Medicine, Jen Ai Hospital Dali Branch, Taichung, Taiwan
| | - Wan-Ju Cheng
- Department of Psychiatry, China Medical University Hospital, Taichung, Taiwan
- National Center for Geriatrics and Welfare Research, National Health Research Institutes, Miaoli, Taiwan
| | - Mi-Chun Hsiao
- Center for Drug Abuse and Addiction, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Sheng-Che Huang
- Department of Public Health, China Medical University, Taichung, Taiwan
| | - Tomohide Kubo
- National Institute of Occupational Safety and Health, Kawasaki, Japan
| | - Liang-Wen Hang
- Department of Pulmonary and Critical Care Medicine, Sleep Medicine Center, China Medical University Hospital, Taichung, Taiwan
- School of Nursing and Graduate Institute of Nursing, China Medical University, Taichung, Taiwan
| | - Wei-Sheng Lee
- Center for Drug Abuse and Addiction, China Medical University Hospital, China Medical University, Taichung, Taiwan
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Sousa-Sá E, Cook C, Burley J, Santos R. Editorial: Movement behaviors (sleep, sedentary behavior and physical activity) and physical and mental/cognitive health. Front Psychiatry 2023; 14:1252986. [PMID: 37608995 PMCID: PMC10441227 DOI: 10.3389/fpsyt.2023.1252986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 07/24/2023] [Indexed: 08/24/2023] Open
Affiliation(s)
- Eduarda Sousa-Sá
- Centre for Research in Sport, Physical Education, Exercise and Health (CIDEFES), Universidade Lusófona, Lisbon, Portugal
- Research Centre in Physical Activity, Health and Leisure, Faculty of Sport, University of Porto, Porto, Portugal
- Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal
| | - Caylee Cook
- University of the Witwatersrand, Johannesburg, South Africa
| | - Jade Burley
- University of Wollongong, Wollongong, NSW, Australia
| | - Rute Santos
- Institute of Education, University of Minho, Braga, Portugal
- Research Centre in Child Studies, University of Minho, Braga, Portugal
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Honn KA, Morris MB, Jackson ML, Van Dongen HPA, Gunzelmann G. Effects of Sleep Deprivation on Performance during a Change Signal Task with Adaptive Dynamics. Brain Sci 2023; 13:1062. [PMID: 37508994 PMCID: PMC10377671 DOI: 10.3390/brainsci13071062] [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: 05/31/2023] [Revised: 07/07/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
Augmented cognition, which refers to real-time modifications to a human-system interface to improve performance and includes dynamic task environments with automated adaptations, can serve to protect against performance impairment under challenging work conditions. However, the effectiveness of augmented cognition as a countermeasure for performance impairment due to sleep loss is unknown. Here, in a controlled laboratory study, an adaptive version of a Change Signal task was administered repeatedly to healthy adults randomized to 62 h of total sleep deprivation (TSD) or a rested control condition. In the computerized task, a left- or right-facing arrow was presented to start each trial. In a subset of trials, a second arrow facing the opposite direction was presented after a delay. Subjects were to respond within 1000 ms of the trial start by pressing the arrow key corresponding to the single arrow (Go trials) or to the second arrow when present (Change trials). The Change Signal Delay (CSD)-i.e., the delay between the appearance of the first and second arrows-was shortened following incorrect responses and lengthened following correct responses so that subsequent Change trials became easier or harder, respectively. The task featured two distinct CSD dynamics, which produced relatively stable low and high error rates when subjects were rested (Low and High Error Likelihood trials, respectively). During TSD, the High Error Likelihood trials produced the same, relatively high error rate, but the Low Error Likelihood trials produced a higher error rate than in the rested condition. Thus, sleep loss altered the effectiveness of the adaptive dynamics in the Change Signal task. A principal component analysis revealed that while subjects varied in their performance of the task along a single dominant dimension when rested, a second inter-individual differences dimension emerged during TSD. These findings suggest a need for further investigation of the interaction between augmented cognition approaches and sleep deprivation in order to determine whether and how augmented cognition can be relied upon as a countermeasure to performance impairment in operational settings with sleep loss.
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Affiliation(s)
- Kimberly A Honn
- Sleep and Performance Research Center & Department of Translational Medicine and Physiology, Washington State University, Spokane, WA 99202, USA
| | - Megan B Morris
- Air Force Research Laboratory, Wright Patterson Air Force Base, OH 45433, USA
| | - Melinda L Jackson
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Hans P A Van Dongen
- Sleep and Performance Research Center & Department of Translational Medicine and Physiology, Washington State University, Spokane, WA 99202, USA
| | - Glenn Gunzelmann
- Air Force Research Laboratory, Wright Patterson Air Force Base, OH 45433, USA
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Stuldreher IV, Maasland E, Bottenheft C, van Erp JBF, Brouwer AM. Physiological synchrony in electrodermal activity predicts decreased vigilant attention induced by sleep deprivation. FRONTIERS IN NEUROERGONOMICS 2023; 4:1199347. [PMID: 38234480 PMCID: PMC10790929 DOI: 10.3389/fnrgo.2023.1199347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/15/2023] [Indexed: 01/19/2024]
Abstract
Introduction When multiple individuals are presented with narrative movie or audio clips, their electrodermal activity (EDA) and heart rate show significant similarities. Higher levels of such inter-subject physiological synchrony are related with higher levels of attention toward the narrative, as for instance expressed by more correctly answered questions about the narrative. We here investigate whether physiological synchrony in EDA and heart rate during watching of movie clips predicts performance on a subsequent vigilant attention task among participants exposed to a night of total sleep deprivation. Methods We recorded EDA and heart rate of 54 participants during a night of total sleep deprivation. Every hour from 22:00 to 07:00 participants watched a 10-min movie clip during which we computed inter-subject physiological synchrony. Afterwards, they answered questions about the movie and performed the psychomotor vigilance task (PVT) to capture attentional performance. Results We replicated findings that inter-subject correlations in EDA and heart rate predicted the number of correct answers on questions about the movie clips. Furthermore, we found that inter-subject correlations in EDA, but not in heart rate, predicted PVT performance. Individuals' mean EDA and heart rate also predicted their PVT performance. For EDA, inter-subject correlations explained more variance of PVT performance than individuals' mean EDA. Discussion Together, these findings confirm the association between physiological synchrony and attention. Physiological synchrony in EDA does not only capture the attentional processing during the time that it is determined, but also proves valuable for capturing more general changes in the attentional state of monitored individuals.
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Affiliation(s)
- Ivo V. Stuldreher
- Human Performance, Netherlands Organisation for Applied Scientific Research (TNO), Soesterberg, Netherlands
- Human Media Interaction, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands
| | - Emma Maasland
- Human Performance, Netherlands Organisation for Applied Scientific Research (TNO), Soesterberg, Netherlands
| | - Charelle Bottenheft
- Human Performance, Netherlands Organisation for Applied Scientific Research (TNO), Soesterberg, Netherlands
| | - Jan B. F. van Erp
- Human Media Interaction, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, Netherlands
- Human Machine Teaming, Netherlands Organisation for Applied Scientific Research (TNO), Soesterberg, Netherlands
| | - Anne-Marie Brouwer
- Human Performance, Netherlands Organisation for Applied Scientific Research (TNO), Soesterberg, Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
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Willmer F, Reuter C, Pramsohler S, Faulhaber M, Burkhardt A, Netzer N. The Effects of Napping on Wakefulness and Endurance Performance in Athletes: A Randomized Crossover Study. Life (Basel) 2023; 13:1414. [PMID: 37374196 DOI: 10.3390/life13061414] [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: 04/30/2023] [Revised: 06/05/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
Background: Athletes often experience poor sleep quality due to stress, altitude exposure, travel across different time zones, and pre-competition nervousness. Coaches use daytime naps to counteract the negative effects of fragmented nighttime sleep. Napping before competitions has also been used to enhance performance in athletes without sleep problems, with mixed results in previous studies, particularly for endurance performance. Thus, we investigated the effects of napping after partial sleep deprivation (PSD) on endurance performance and wakefulness in athletes. Methods: We recruited 12 healthy and trained participants (seven female and five male) for a randomized crossover study design. The participants underwent two test sessions: a five-hour night of sleep without a nap (noNap) and a five-hour night of sleep with a 30-min nap opportunity (Nap30). Participants recorded their sleep-wake rhythm one week before and during the study using the Consensus Sleep Diary-Core and the Morningness-Eveningness Questionnaire to examine their circadian rhythm type. We quantified PSD and the nap with pupillography (pupil unrest index, PUI), a subjective level of sleepiness questionnaire (Karolinska Sleepiness Scale, KSS), and polysomnography. After each night, participants performed a maximal cycling ergometry test to determine time to exhaustion (TTE) and maximal oxygen uptake (VO 2max). Results: Participants had an average sleep duration of 7.2 ± 0.7 h and were identified as moderately morning types (n = 5), neither type (n = 5), and moderately evening types (n = 2). There was a significant difference in both sleepiness parameters between the two conditions, with the PUI (p = 0.015) and KSS (p ≤ 0.01) significantly decreased at 5 h and nap compared with only 5 h of sleep. The PUI (p ≤ 0.01) and KSS (p ≤ 0.01) decreased significantly from before to after the nap. However, there was no significant difference in physical exercise test results between the conditions for TTE (p = 0.367) or VO 2max (p = 0.308). Conclusions: Our results suggest that napping after light PSD does not significantly influence endurance performance. We conclude that aerobic performance is a multidimensional construct, and napping after PSD may not enhance it. However, napping is an effective method to increase wakefulness and vigilance, which can be beneficial for sports competitions.
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Affiliation(s)
- Felix Willmer
- Hermann-Buhl-Institute for Hypoxia and Sleep Medicine Research, 83661 Lenggries, Germany
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria
| | - Claire Reuter
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria
| | - Stephan Pramsohler
- Hermann-Buhl-Institute for Hypoxia and Sleep Medicine Research, 83661 Lenggries, Germany
| | - Martin Faulhaber
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria
| | - Anja Burkhardt
- Hermann-Buhl-Institute for Hypoxia and Sleep Medicine Research, 83661 Lenggries, Germany
| | - Nikolaus Netzer
- Hermann-Buhl-Institute for Hypoxia and Sleep Medicine Research, 83661 Lenggries, Germany
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria
- EURAC Research Center, 39100 Bozen, Italy
- Division Sports Medicine and Rehabilitation, Department Medicine, University of Ulm, 89069 Ulm, Germany
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Lian J, Xu L, Song T, Peng Z, Zhang Z, An X, Chen S, Zhong X, Shao Y. Reduced Resting-State EEG Power Spectra and Functional Connectivity after 24 and 36 Hours of Sleep Deprivation. Brain Sci 2023; 13:949. [PMID: 37371427 DOI: 10.3390/brainsci13060949] [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: 05/12/2023] [Revised: 06/06/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Total sleep deprivation (TSD) leads to cognitive decline; however, the neurophysiological mechanisms underlying resting-state electroencephalogram (EEG) changes after TSD remain unclear. In this study, 42 healthy adult participants were subjected to 36 h of sleep deprivation (36 h TSD), and resting-state EEG data were recorded at baseline, after 24 h of sleep deprivation (24 h TSD), and after 36 h TSD. The analysis of resting-state EEG at baseline, after 24 h TSD, and after 36 h TSD using source localization analysis, power spectrum analysis, and functional connectivity analysis revealed a decrease in alpha-band power and a significant increase in delta-band power after TSD and impaired functional connectivity in the default mode network, precuneus, and inferior parietal lobule. The cortical activities of the precuneus, inferior parietal lobule, and superior parietal lobule were significantly reduced, but no difference was found between the 24 h and 36 h TSD groups. This may indicate that TSD caused some damage to the participants, but this damage temporarily slowed during the 24 h to 36 h TSD period.
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Affiliation(s)
- Jie Lian
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Lin Xu
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Tao Song
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Ziyi Peng
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Zheyuan Zhang
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xin An
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Shufang Chen
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xiao Zhong
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing 100084, China
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Wang Y, Cao Q, Wei C, Xu F, Zhang P, Zeng H, Shao Y, Weng X, Meng R. The Effect of Transcranial Electrical Stimulation on the Recovery of Sleep Quality after Sleep Deprivation Based on an EEG Analysis. Brain Sci 2023; 13:933. [PMID: 37371411 DOI: 10.3390/brainsci13060933] [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: 04/20/2023] [Revised: 06/01/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023] Open
Abstract
Acute sleep deprivation can reduce the cognitive ability and change the emotional state in humans. However, little is known about how brain EEGs and facial expressions change during acute sleep deprivation (SD). Herein, we employed 34 healthy adult male subjects to undergo acute SD for 36 h, during which, their emotional states and brain EEG power were measured. The subjects were divided randomly into electronic stimulation and control groups. We performed TDCS on the left dorsolateral prefrontal cortex for 2 mA and 30 min in the TDCS group. These results indicated that the proportion of disgusted expressions in the electrical stimulation group was significantly less than the controls after 36 h post-acute SD, while the proportion of neutral expressions was increased post-restorative sleep. Furthermore, the electrical stimulation group presented a more significant impact on slow wave power (theta and delta) than the controls. These findings indicated that emotional changes occurred in the subjects after 36 h post-acute SD, while electrical stimulation could effectively regulate the cortical excitability and excitation inhibition balance after acute SD.
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Affiliation(s)
- Yuhan Wang
- Department of Public Health, Chengdu Medical College, Chengdu 610500, China
| | - Qiongfang Cao
- Department of Public Health, Chengdu Medical College, Chengdu 610500, China
| | - Changyou Wei
- Department of Public Health, Chengdu Medical College, Chengdu 610500, China
| | - Fan Xu
- Department of Public Health, Chengdu Medical College, Chengdu 610500, China
| | - Peng Zhang
- Department of Public Health, Chengdu Medical College, Chengdu 610500, China
| | - Hanrui Zeng
- Department of Clinic Medicine, Chengdu Medical College, Chengdu 610500, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xiechuan Weng
- Department of Neuroscience, Beijing Institute of Basic Medical Sciences, Beijing 100850, China
| | - Rong Meng
- Department of Public Health, Chengdu Medical College, Chengdu 610500, China
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49
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Hehr A, Huntley ED, Marusak HA. Getting a Good Night's Sleep: Associations Between Sleep Duration and Parent-Reported Sleep Quality on Default Mode Network Connectivity in Youth. J Adolesc Health 2023; 72:933-942. [PMID: 36872118 PMCID: PMC10198813 DOI: 10.1016/j.jadohealth.2023.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 12/07/2022] [Accepted: 01/04/2023] [Indexed: 03/07/2023]
Abstract
PURPOSE Sleep plays an important role in healthy neurocognitive development, and poor sleep is linked to cognitive and emotional dysfunction. Studies in adults suggest that shorter sleep duration and poor sleep quality may disrupt core neurocognitive networks, particularly the default mode network (DMN)-a network implicated in internal cognitive processing and rumination. Here, we examine the relationships between sleep and within- and between-network resting-state functional connectivity (rs-FC) of the DMN in youth. METHODS This study included 3,798 youth (11.9 ± 0.6 years, 47.5% female) from the Adolescent Brain Cognitive Development cohort. Sleep duration and wake after sleep onset (WASO) were quantified using Fitbit watch recordings, and parent-reported sleep disturbances were measured using the Sleep Disturbance Scale for Children. We focused on rs-FC between the DMN and anticorrelated networks (i.e., dorsal attention network [DAN], frontoparietal network, salience network). RESULTS Both shorter sleep duration and greater sleep disturbances were associated with weaker within-network DMN rs-FC. Shorter sleep duration was also associated with weaker anticorrelation (i.e., higher rs-FC) between the DMN and two anticorrelated networks: the DAN and frontoparietal network. Greater WASO was also associated with DMN-DAN rs-FC, and the effects of WASO on rs-FC were most pronounced among children who slept fewer hours/night. DISCUSSION Together, these data suggest that different aspects of sleep are associated with distinct and interactive alterations in resting-state brain networks. Alterations in core neurocognitive networks may confer increased risk for emotional psychopathology and attention-related vulnerabilities. Our findings contribute to the growing number of studies demonstrating the importance of healthy sleep practices in youth.
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Affiliation(s)
- Aneesh Hehr
- Department of Psychiatry & Behavioral Neurosciences, School of Medicine, Wayne State University, Detroit, Michigan
| | - Edward D Huntley
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan
| | - Hilary A Marusak
- Department of Psychiatry & Behavioral Neurosciences, School of Medicine, Wayne State University, Detroit, Michigan; Karmanos Cancer Institute, Detroit, Michigan; Merrill Palmer Skillman Institute for Child and Family Development, Wayne State University, Detroit, Michigan.
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50
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Steffey MA, Scharf VF, Risselada M, Buote NJ, Griffon D, Winter AL, Zamprogno H. A narrative review of the pathophysiology and impacts of insufficient and disrupted sleep. THE CANADIAN VETERINARY JOURNAL = LA REVUE VETERINAIRE CANADIENNE 2023; 64:579-587. [PMID: 37265804 PMCID: PMC10204879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Background Despite substantial ramifications of insufficient sleep on mental and physical health and general well-being, many individuals are unaware of what constitutes sufficient sleep, or of the short- and long-term extent of sleep deficiency effects, including those that may not be perceived as fatigue. Objectives and procedures This review describes the physiology of sleep, defines healthy standards, reviews the pathophysiology and health hazards of acute and chronic sleep insufficiency, and offers concepts for improving individual sleep hygiene. Online databases were searched to extract literature pertaining to sleep, sleep insufficiency, fatigue, and health, with emphasis on literature published in the preceding 5 years. Results The detrimental effects of acute and chronic sleep loss vary in their range and impact. Individuals often obtain a substandard quantity of sleep, a problem that is poorly recognized by individuals and society. This lack of recognition perpetuates a culture in which sleep insufficiency is accepted, resulting in serious and substantial negative impacts on mental and physical health. Conclusion and clinical relevance Sleep management is one of the most fundamental and changeable aspects of personal health. Improving awareness of the important physiological roles of sleep, healthy sleep habits, and the consequence of insufficient sleep is essential in promoting general well-being and mental and physical health.
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Affiliation(s)
- Michele A Steffey
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California - Davis, 1 Shields Avenue, Davis, California 95616, USA (Steffey); Department of Clinical Sciences, North Carolina State University College of Veterinary Medicine, 1060 William Moore Drive, Raleigh, North Carolina 27607, USA (Scharf ); Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, 625 Harrison Street, West Lafayette, Indiana 47907, USA (Risselada); Department of Clinical Sciences, Cornell University College of Veterinary Medicine, 930 Campus Road, Ithaca, New York 14853, USA, (Buote); College of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, California 91766, USA (Griffon); Merck Manuals Department, Merck Sharp & Dohme Corp., Rahway, New Jersey 07065, USA (Winter); Surgery Department, Evidensia Oslo Dyresykehus, Ensjøveien 14, 0655, Oslo, Norway (Zamprogno)
| | - Valery F Scharf
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California - Davis, 1 Shields Avenue, Davis, California 95616, USA (Steffey); Department of Clinical Sciences, North Carolina State University College of Veterinary Medicine, 1060 William Moore Drive, Raleigh, North Carolina 27607, USA (Scharf ); Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, 625 Harrison Street, West Lafayette, Indiana 47907, USA (Risselada); Department of Clinical Sciences, Cornell University College of Veterinary Medicine, 930 Campus Road, Ithaca, New York 14853, USA, (Buote); College of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, California 91766, USA (Griffon); Merck Manuals Department, Merck Sharp & Dohme Corp., Rahway, New Jersey 07065, USA (Winter); Surgery Department, Evidensia Oslo Dyresykehus, Ensjøveien 14, 0655, Oslo, Norway (Zamprogno)
| | - Marije Risselada
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California - Davis, 1 Shields Avenue, Davis, California 95616, USA (Steffey); Department of Clinical Sciences, North Carolina State University College of Veterinary Medicine, 1060 William Moore Drive, Raleigh, North Carolina 27607, USA (Scharf ); Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, 625 Harrison Street, West Lafayette, Indiana 47907, USA (Risselada); Department of Clinical Sciences, Cornell University College of Veterinary Medicine, 930 Campus Road, Ithaca, New York 14853, USA, (Buote); College of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, California 91766, USA (Griffon); Merck Manuals Department, Merck Sharp & Dohme Corp., Rahway, New Jersey 07065, USA (Winter); Surgery Department, Evidensia Oslo Dyresykehus, Ensjøveien 14, 0655, Oslo, Norway (Zamprogno)
| | - Nicole J Buote
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California - Davis, 1 Shields Avenue, Davis, California 95616, USA (Steffey); Department of Clinical Sciences, North Carolina State University College of Veterinary Medicine, 1060 William Moore Drive, Raleigh, North Carolina 27607, USA (Scharf ); Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, 625 Harrison Street, West Lafayette, Indiana 47907, USA (Risselada); Department of Clinical Sciences, Cornell University College of Veterinary Medicine, 930 Campus Road, Ithaca, New York 14853, USA, (Buote); College of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, California 91766, USA (Griffon); Merck Manuals Department, Merck Sharp & Dohme Corp., Rahway, New Jersey 07065, USA (Winter); Surgery Department, Evidensia Oslo Dyresykehus, Ensjøveien 14, 0655, Oslo, Norway (Zamprogno)
| | - Dominique Griffon
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California - Davis, 1 Shields Avenue, Davis, California 95616, USA (Steffey); Department of Clinical Sciences, North Carolina State University College of Veterinary Medicine, 1060 William Moore Drive, Raleigh, North Carolina 27607, USA (Scharf ); Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, 625 Harrison Street, West Lafayette, Indiana 47907, USA (Risselada); Department of Clinical Sciences, Cornell University College of Veterinary Medicine, 930 Campus Road, Ithaca, New York 14853, USA, (Buote); College of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, California 91766, USA (Griffon); Merck Manuals Department, Merck Sharp & Dohme Corp., Rahway, New Jersey 07065, USA (Winter); Surgery Department, Evidensia Oslo Dyresykehus, Ensjøveien 14, 0655, Oslo, Norway (Zamprogno)
| | - Alexandra L Winter
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California - Davis, 1 Shields Avenue, Davis, California 95616, USA (Steffey); Department of Clinical Sciences, North Carolina State University College of Veterinary Medicine, 1060 William Moore Drive, Raleigh, North Carolina 27607, USA (Scharf ); Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, 625 Harrison Street, West Lafayette, Indiana 47907, USA (Risselada); Department of Clinical Sciences, Cornell University College of Veterinary Medicine, 930 Campus Road, Ithaca, New York 14853, USA, (Buote); College of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, California 91766, USA (Griffon); Merck Manuals Department, Merck Sharp & Dohme Corp., Rahway, New Jersey 07065, USA (Winter); Surgery Department, Evidensia Oslo Dyresykehus, Ensjøveien 14, 0655, Oslo, Norway (Zamprogno)
| | - Helia Zamprogno
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California - Davis, 1 Shields Avenue, Davis, California 95616, USA (Steffey); Department of Clinical Sciences, North Carolina State University College of Veterinary Medicine, 1060 William Moore Drive, Raleigh, North Carolina 27607, USA (Scharf ); Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, 625 Harrison Street, West Lafayette, Indiana 47907, USA (Risselada); Department of Clinical Sciences, Cornell University College of Veterinary Medicine, 930 Campus Road, Ithaca, New York 14853, USA, (Buote); College of Veterinary Medicine, Western University of Health Sciences, 309 East Second Street, Pomona, California 91766, USA (Griffon); Merck Manuals Department, Merck Sharp & Dohme Corp., Rahway, New Jersey 07065, USA (Winter); Surgery Department, Evidensia Oslo Dyresykehus, Ensjøveien 14, 0655, Oslo, Norway (Zamprogno)
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