Order matters: sleep spindles contribute to memory consolidation only when followed by rapid-eye-movement sleep

Sleep is known to benefit memory consolidation, but little is known about the contribution of sleep stages within the sleep cycle. The sequential hypothesis proposes that memories are first replayed during non-rapid-eye-movement (NREM or N) sleep and then integrated into existing networks during rapid-eye-movement (REM or R) sleep, two successive critical steps for memory consolidation. However, it lacks experimental evidence as N always precedes R sleep in physiological conditions. We tested this sequential hypothesis in patients with central hypersomnolence disorder, including patients with narcolepsy who present the unique, anti-physiological peculiarity of frequently falling asleep in R sleep before entering N sleep. Patients performed a visual perceptual learning task before and after daytime naps stopped after one sleep cycle, starting in N or R sleep and followed by the other stage (i.e. N-R vs. R-N sleep sequence). We compared over-nap changes in performance, reflecting memory consolidation, depending on the sleep sequence during the nap. Thirty-six patients who slept for a total of 67 naps were included in the analysis. Results show that sleep spindles are associated with memory consolidation only when N is followed by R sleep, that is in physiologically ordered N-R naps, thus providing support to the sequential hypothesis in humans. In addition, we found a negative effect of rapid-eye-movements in R sleep on perceptual consolidation, highlighting the complex role of sleep stages in the balance to remember and to forget.

Glymphatic System Dysfunction in Mild Traumatic Brain Injury

ObjectiveTo assess the clinical role of the glymphatic system in mild traumatic brain injury (mTBI) and post-concussive syndrome (PCS).BackgroundClinical manifestations of mTBI, or concussion, involve a wide array of cognitive, behavioral, and mechanical impairments that commonly spontaneously resolve within weeks. When these symptoms persist, it defines a class of mTBI known as post-concussive syndrome. A multifaceted approach for diagnosing concussion and PCS, heavily reliant on a neurocognitive screening, has become the standard in suspected cases. Conventional imaging protocols are occasionally implemented for exclusion of structural injury, rarely revealing substantial evidence in otherwise uncomplicated mTBI. A CNS-specific lymphatic network, termed glymphatic, has shown to play a critical role in immune surveillance and drainage of cellular debris. Moreover, recent evidence points to glymphatic dysfunction in TBI, including mild cases, as its anatomical layout becomes better understood. Here, we review the current literature on glymphatic function and imaging modalities, with an emphasis on implications in mTBI.Design/MethodsLiterature was compiled primarily using various keyword searches (glymphatic + imaging, meningeal lymphatics, glymphatic + concussion, etc.) via Pubmed and the NIH/NLM archive. Inclusion criteria involved limiting to studies on human patients or tissue.ResultsThe glymphatic system displays critical function in healthy patients and in disease, with activity that suggests a diurnal sleep-cycle. Advanced imaging methodologies, most notably, the use of various MRI techniques, have identified impairments in meningeal lymphatic dysfunction in TBI, however, the clinical application of glymphatic imaging has yet to be well-studied and shows challenges in providing definitive data. Nonetheless, the potential for glymphatic imaging to expand our understanding of mTBI and PCS warrants further investigation.ConclusionsAnatomical and functional properties of the glymphatic network make an appealing target for concussion diagnosis, observing recovery, and exposing impact-related microstructural injuries, however the implementation of imaging in a clinical setting has yet to be well-characterized.

Duty-Cycle-Based Pre-Emption Protocol for Emergency Networks

This paper proposes a new duty-cycle-based protocol for transmitting emergent data with high priority and low latency in a sensor network environment. To reduce power consumption, the duty cycle protocol is divided into a listen section and a sleep section, and data can only be received when the receiving node is in the listen section. In this paper, high-priority transmission preempts low-priority transmission by distinguishing between high-priority preamble and low-priority preamble. However, even when a high priority transmission preempts a low priority transmission such that the high priority transmission is received first, if the sleep period is very long, the delay may be large. To solve this problem, the high priority short preamble and high priority data reduce receiver sensitivity and increase coverage through repeated transmission. If there are several receiving nodes within a wide coverage, the receiving node that wakes up first can receive the transmission, thus reducing the delay. The delay can also be further reduced by alternately reducing the sleep cycle of one node among the receiving nodes that can receive it. This paper shows that emergent data can be transmitted effectively and reliably by reducing the delay of high-priority data to a minimum through the use of preemption, coverage extension, and an asymmetric sleep cycle.

Using Microbiome-Based Approaches to Deprogram Chronic Disorders and Extend the Healthspan Following Adverse Childhood Experiences

Adverse childhood experiences are known to program children for disrupted biological cycles, premature aging, microbiome dysbiosis, immune-inflammatory misregulation, and chronic disease multimorbidity. To date, the microbiome has not been a major focus of deprogramming efforts despite its emerging role in every aspect of ACE-related dysbiosis and dysfunction. This article examines: 1) the utility of incorporating microorganism-based, anti-aging approaches to combat ACE-programmed chronic diseases (also known as noncommunicable diseases and conditions, NCDs) and 2) microbiome regulation of core systems biology cycles that affect NCD comorbid risk. In this review microbiota influence over three key cyclic rhythms (circadian cycles, the sleep cycle, and the lifespan/longevity cycle) as well as tissue inflammation and oxidative stress are discussed as an opportunity to deprogram ACE-driven chronic disorders. Microbiota, particularly those in the gut, have been shown to affect host-microbe interactions regulating the circadian clock, sleep quality, as well as immune function/senescence and regulation of tissue inflammation. The microimmunosome is one of several systems biology targets of gut microbiota regulation. Furthermore, correcting misregulated inflammation and increased oxidative stress is key to protecting telomere length and lifespan/longevity and extending what has become known as the healthspan. This review article concludes that to reverse the tragedy of ACE-programmed NCDs and premature aging, managing the human holobiont microbiome should become a routine part of healthcare and preventative medicine across the life course.

Identification and Classification of the Tea Samples by Using Sensory Mechanism and Arduino UNO

Tea is the most popular hot beverageworldwide. In 2020, the value of the global tea market was almost USD 200 billion, and is estimated to reach up to USD 318 billion by the year 2025. Tea has been included as part ofa regular diet for centuries because of its various health benefits. However, tea is acidic, and over-consumption causes heat problems, disturbance of the sleep cycle, tooth erosion, and low calcium absorption in the body. Strong tea concentration is very harmful and toxic. The safe consumption of tea should be guaranteed. The treatment applied in this research work is on sensory mechanisms and Arduino UNO. The objective of this paper is to find out community interest in a particular tea species and inform them about tea overdose.The acidity is mapped with tea taste in terms of strong, medium, and low flavors. Based on the data analysis, the results differentiatethe acidity level of black tea (pH: 3.89–4.08) as very high, green tea (pH: 4.68–4.70) is in the 2nd position, and the energy drink Herbalife Nutrition (pH: 5.59–5.64) is the least acidic comparatively, with a proportion ratio 1:10 of tea to water. Experimental analysis reveals that in the additives, lemon is most acidic, followed byginger, lemongrass, and Tulasi.

Air Pollution Associated with Cognitive Decline by the Mediating Effects of Sleep Cycle Disruption and Changes in Brain Structure in Adults

The effects of air pollution on sleep and dementia remain unclear. The objective of this study was to investigate the effects of air pollution on cognitive function as mediated by the sleep cycle. A cross-sectional study design was conducted to recruit 4866 subjects on which PSG had been performed. Fifty of them were further given a cognitive function evaluation by the MMSE and CASI as well as brain images by CT and MRI. Associations of 1-year air pollution parameters with sleep parameters, cognitive function, and brain structure were examined. We observed that O3 was associated with a decrease in arousal, an increase in the N1 stage, and a decrease in the N2 stage of sleep. NO2 was associated with an increase in the N1 stage, a decrease in the N2 stage, and an increase in REM. PM2.5 was associated with a decrease in the N1 stage, increases in the N2 and N3 stages, and a decrease in REM. The N1 and N2 stages were associated with cognitive decline, but REM was associated with an increase in cognitive function. The N1 stage was a mediator of the effects of PM2.5 on the concentration domain of the MMSE. O3 was associated with an increase in the pars orbitalis volume of the left brain. NO2 was associated with increases in the rostral middle frontal volume, supramarginal gyrus volume, and transverse temporal volume of the left brain, and the pars opercularis volume of the right brain. PM2.5 was associated with increases in the pars triangularis volume of the left brain and the fusiform thickness of the right brain. In conclusion, we observed that air pollution was associated with cognitive decline by mediating effects on the sleep cycle with changes in the brain structure in controlling executive, learning, and language functions in adults.

Lifestyle Medicine Strategies for Combating Sleepiness and Fatigue in Professional Drivers - The "Highway 2 Health" study

Sleep has a number of health benefits, including memory and learning, vitality and energy as well as high quality of life levels. Lack of sleep impairs judgment, impacts longevity and safety, and increases the risk of a number of diseases including obesity, hypertension, heart disease, diabetes, mood disorders, and impaired immune function. In addition lack of sleep or disturbance of normal sleep cycle could have a major impact on people's lives and working performance such as driving. Daily sleepiness is a problem concerning professions with a non-fixed schedule. Specifically, professional long-haul drivers confront sleepiness problems and in combination with fatigue, they are prone to driving accidents and other incidents. Sleep quality and quantity are closed related to fatigue which is one of the most common reasons for driving and working accidents. In recent years, car accidents involving professional drives have increased significantly. The main reasons for those accidents were fatigue and sleepiness due to long hours of driving or difficult working conditions according to the recent European report (Driver Fatigue in European Road Transport - etf-europe.org).Lifestyle Medicine addresses health risk factors in primary, secondary, and tertiary prevention of developing disease rather than on acute care and reacting to illness, injury, and disease. Lifestyle Medicine strategies target modifiable risk factors, such as diet, sleep, stress, and physical activity. By applying those regimes the investigators could improve physical and mental health levels that can affect the quality of sleep, reducing daily sleepiness and fatigue, in professional drivers operating coaches and trucks. Any intervention that could improve alertness and reduce fatigue and sleepiness in those people, will automatically improve safety, reduce driving accidents and save lives and resources.The study is registered on the ClinicalTrials.gov public website (NCT05096130).

Assessment of Play and Sedentary Behaviours Before and During the Covid-19 Pandemic in Children Aged 10-16 Years Old- A Pilot Study

Aim: The aim of the study is to assess if there are any changes in the play, sedentary and mood behaviours of children aged between 10-16 years of age before and during the on-going covid-19 pandemic. Background: Covid-19 pandemic led to closures of schools and play grounds, social distancing, quarantining, etc., impacting the lifestyle activities of children and adolescents across the entire day. This led to an increase in the sedentary behaviours and decreased physical activity in children having detrimental effects on cardiometabolic/psychosocial health. In this study we aim to see the impact on lifestyle, mood, movement and screen time of children aged 10-16 years old before and during the Covid-19 global pandemic using online self-administered survey. Methodology: 100 online responses were collected from children as per inclusion criteria. Demographic data and consent was taken. The survey was divided into 2 parts 1) Lifestyle and Study behaviours of the child- having 6 questions based on health, study, sleep cycle and motivation of the child, etc. 2) Movement and Screen timing of the child- which included the hours and type of physical activity, screen time and school’s participation which was responded by the parents/older children based on before and during the Covid-19 period. The 100 responses were statistically calculated. Result: The study concludes that sedentary behaviours due to reduced physical activity and increased screen time including all gadgets have impacted the mood, diet, sleep, study of the child. This highlight the need for strategies to promote physical activity and reduce sedentary time in children during the current and potential future pandemics to prevent long-term health risks. Key words: Covid-19 pandemic, physical activity, sedentary behaviour, children, school.

EEG sleep macrostructure and sleep spindles in early infancy

Study Objectives Sleep features in infancy are potential biomarkers for brain maturation but poorly characterised. We describe normative values for sleep macrostructure and sleep spindles at 4-5 months of age. Methods Healthy term infants were recruited at birth and had daytime sleep EEGs at 4-5 months. Sleep staging was performed and 5 features were analysed. Sleep spindles were annotated and 7 quantitative features were extracted. Features were analysed across sex, recording time (am/pm), infant age and from first to second sleep cycles. Results We analysed sleep recordings from 91 infants, 41% girls. Median (IQR) macrostructure results: sleep duration 49.0 (37.8-72.0) minutes (n=77); first sleep cycle duration 42.8 (37.0 – 51.4) minutes; REM percentage 17.4 (9.5 - 27.7)% (n=68); latency to REM 36.0 (30.5-41.1) minutes (n=66). First cycle median (IQR) values for spindle features: number 241.0 (193.0-286.5), density 6.6 (5.7-8.0) spindles.min -1(n=77); mean frequency 13.0 (12.8-13.3) Hz, mean duration 2.9 (2.6-3.6)s, spectral power 7.8 (4.7-11.4)µV 2, brain symmetry index 0.20 (0.16-0.29), synchrony 59.5 (53.2-63.8)% (n=91). In males, spindle spectral power (µV 2) is 24.5% lower (p=0.032) and brain symmetry index 24.2% higher than females (p=0.011) when controlling for gestational and postnatal age and timing of the nap. We found no other significant associations between studied sleep features and sex, recording time (am/pm), or age. Spectral power decreased (p<0.001) on the second cycle. Conclusion This normative data may be useful for comparison with future studies of sleep dysfunction and atypical neurodevelopment in infancy.

Recumbency as an Equine Welfare Indicator in Geriatric Horses and Horses with Chronic Orthopaedic Disease

Recumbency is a prerequisite for horses achieving rapid eye movement (REM) sleep and completing a full sleep cycle. An inability to lie down due to environmental insecurities or pain results in REM sleep deficiency, which can cause substantial impairment of welfare and health. Therefore, the present study used wearable automated sensor technology on 83 horses housed in an animal sanctuary to measure and compare the recumbency, locomotion, and standing time budgets of geriatric horses with and without chronic lameness to younger adult sound and lame horses. Recumbency times ranged from 0 to 319 min per day with an overall mean of 67.4 (±61.9) minutes; the time budget for locomotion was 19.1% (±11.2% s.d.) and for standing 75.6% (±13.1 s.d.). Interestingly, neither age nor lameness due to chronic orthopedic disease had a significant influence on recumbency times in this study. Eight horses showed symptoms of REM deficit. These horses had significantly shorter lying times (7.99 ± 11.4 min) and smaller locomotion time budgets than the other horses enrolled in this study (73.8 ± 61.8 min), indicating a general compromise of well-being. Thus, wearable sensor technology can be used to identify horses with low recumbency times at risk for REM sleep deficiency and to assess and monitor equine welfare objectively.