scholarly journals Strategies for Scientific and Practicall Search: is There Any Correlation Between the Development of the Gut-Brain Axis and the Sleep Characteristics in Infants?

2021 ◽  
Author(s):  
Irina A. Belyaeva ◽  
Tatiana V. Turti ◽  
Elena P. Bombardirova ◽  
Pavel E. Sadchikov ◽  
Alexander Yu. Nagonov
Keyword(s):  
Intestinal Microbiota ◽  
Activity Patterns ◽  
Sleep Onset ◽  
Structure Development ◽  
Sleep Structure ◽  
General Mental Health ◽  
Pathogenetic Therapy ◽  
Sleep Consolidation ◽  
Neurophysiological Activity ◽  
Further Development

The review provides the analysis of modern publications on the topic of correlation between development of intestinal microbiota and maturation of neurophysiological activity patterns (on the example of sleep age structure development). The importance of the stage maturation of intestinal microbiota in the concept of the gut-brain axis is presented. Mechanisms and mediators involved in this axis are described, and its ontogenetic significance is justified. The main stages of sleep function development in a child as an important component of the general mental health maturation in relation to environmental factors and family features are presented. Recommendations on sleep periods duration and estimation of sleep onset and sleep structure are also given. Direct and reverse correlations of quantitive and qualitative microbiota parameters with sleep efficiency are shown. Positive correlation was identified between sleep consolidation, number and diversity of Bacteroidetes species in intestinal microbiota, and composition of bacterial metabolites. The presence of such correlations is theoretical justification for further development of methods of pathogenetic therapy of both microbiota and sleep disorders.

086 Sleep midpoint after job loss predicts breakfast skipping patterns

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A36-A36
Author(s):  
Leah Callovini ◽  
Gaby Gubka ◽  
Candace Mayer ◽  
Darlynn Rojo-Wissar ◽  
David Glickenstein ◽  
...  
Keyword(s):  
Job Loss ◽  
Activity Patterns ◽  
Sleep Onset ◽  
Daily Routine ◽  
Cross Sectional ◽  
Circadian Phase ◽  
Breakfast Skipping ◽  
Occupational Transitions ◽  
The Relationship ◽  
Significant Covariates

Abstract Introduction Few studies have examined circadian phase after job loss, an event that upends daily routine. It is common that a daily routine begins with the consumption of breakfast, and breakfast behavior may contribute to health status in adults. Therefore, we sought to examine whether a later midpoint of sleep was associated with breakfast skipping among adults whose schedules were no longer dictated by employment. Methods Data were obtained from the Assessing Daily Activity Patterns Through Occupational Transitions (ADAPT) study. The sample of 155 participants had involuntarily lost their jobs in the last 90 days. Both cross-sectional and 18-month longitudinal analyses assessed the relationship between sleep midpoint after job loss and current and later breakfast skipping. Assessment periods were 14 days. Sleep was measured via actigraphy, and breakfast skipping was measured via daily diary (1 = had breakfast; 0 = did not have breakfast). The midpoint of sleep was calculated as the circular center based on actigraphy sleep onset and offset times. Results The midpoint of sleep at baseline was negatively associated with breakfast consumption at baseline (B = -.09, SE = .02, p = .000). Also, a later midpoint was associated with breakfast skipping over the next 18 months (estimate = -.08; SE = .02; p = .000). Prospective findings remained significant when adjusting for gender, ethnicity, age, perceived stress, body mass index (BMI), education, and reemployment over time. Education (estimate = 14.26, SE = 6.23, p < .05) and BMI (estimate = -.51, SE = .25, p < .05) were the only significant covariates. No other sleep indices predicted breakfast behavior cross-sectionally or prospectively. Conclusion Consistent with research in adolescents, unemployed adults with a later circadian phase are more likely to skip breakfast more often. Breakfast skipping was also associated with higher BMI. Taken together, these findings provide support for the future testing of sleep/wake scheduling interventions to modify breakfast skipping and potentially mitigate weight gain after job loss. Support (if any) #1R01HL117995-01A1

scholarly journals A study on sleep apnea in patients with abnormal sewda type of depression

2020 ◽  
pp. 1-8
Author(s):  
Aman Gul ◽  
Nassirhadjy Memtily ◽  
Pirdun Mijit ◽  
Palidan Wushuer ◽  
Ainiwaer Talifu ◽  
...  
Keyword(s):  
Rem Sleep ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Efficiency ◽  
Control Group ◽  
Poor Sleep ◽  
Sleep Structure ◽  
Maintenance Rate ◽  
Sleep Maintenance ◽  
Insomnia Symptoms

Objective: To preliminarily investigate the clinical features and PSG in abnormal sewda-type depressive insomnia. Methods: A total of 127 abnormal sewda-type depressive insomnia patients were evaluated with overnight PSG, and 32 normal participants were compared. Results: Patients with abnormal sewda-type depressive insomnia were compared with the control group; the sleep symptoms showed a long incubation period of sleep, low sleep maintenance rate, low sleep efficiency and poor sleep quality as well as daytime dysfunction. At process and continuity of sleep: Total sleep time, sleep efficiency, sleep maintenance rate in abnormal sewda-type depressive insomnia group were shorter than the control group. Wake after sleep onset, and sleep latency were longer than the control group. At sleep structure: N1 ratio and N2 ratio in depressive insomnia group were longer than the control group, N3 ratio and REM sleep ratio shorter than the control group. At REM index: REM latency, REM cycles, and REM sleep time were shorter than the control group. Conclusion: Insomnia symptoms in abnormal sewda-type depression comorbid insomnia patients were similar to the ordinary insomnia patients. The PSG characteristics had significant changes in sleep process, sleep structure and REM indicators. The severity of the abnormal sewda-type depression was closely related to REM indicators. Change of REM sleep characteristics may be the specificity, and these could be taken as reference in diagnosis and identification of abnormal sewda-type depressive insomnia.

scholarly journals Low acetylcholine during early sleep is important for motor memory consolidation

SLEEP ◽  
2019 ◽  
Vol 43 (6) ◽  
Author(s):  
Samsoon Inayat ◽  
Qandeel ◽  
Mojtaba Nazariahangarkolaee ◽  
Surjeet Singh ◽  
Bruce L McNaughton ◽  
...  
Keyword(s):  
Skill Acquisition ◽  
Slow Wave ◽  
Nicotinic Acetylcholine Receptors ◽  
Memory Consolidation ◽  
Acetylcholinesterase Inhibitor ◽  
Sleep Onset ◽  
Motor Memory ◽  
Sleep Structure ◽  
Rotarod Performance ◽  
Cholinergic Tone

Abstract The synaptic homeostasis theory of sleep proposes that low neurotransmitter activity in sleep optimizes memory consolidation. We tested this theory by asking whether increasing acetylcholine levels during early sleep would weaken motor memory consolidation. We trained separate groups of adult mice on the rotarod walking task and the single pellet reaching task, and after training, administered physostigmine, an acetylcholinesterase inhibitor, to increase cholinergic tone in subsequent sleep. Post-sleep testing showed that physostigmine impaired motor skill acquisition of both tasks. Home-cage video monitoring and electrophysiology revealed that physostigmine disrupted sleep structure, delayed non-rapid-eye-movement sleep onset, and reduced slow-wave power in the hippocampus and cortex. Additional experiments showed that: (1) the impaired performance associated with physostigmine was not due to its effects on sleep structure, as 1 h of sleep deprivation after training did not impair rotarod performance, (2) a reduction in cholinergic tone by inactivation of cholinergic neurons during early sleep did not affect rotarod performance, and (3) stimulating or blocking muscarinic and nicotinic acetylcholine receptors did not impair rotarod performance. Taken together, the experiments suggest that the increased slow wave activity and inactivation of both muscarinic and nicotinic receptors during early sleep due to reduced acetylcholine contribute to motor memory consolidation.

scholarly journals Protocol for Light-Dark and Activity Rhythm Therapy for sleep: Feasibility and acceptability in Schizophrenia spectrum disorders (L-DART FitSz)

2021 ◽  
Author(s):  
Sophie Faulkner ◽  
Penny E. Bee ◽  
Richard J. Drake
Keyword(s):  
Light Exposure ◽  
Activity Rhythm ◽  
Qualitative Interviews ◽  
Activity Patterns ◽  
Sleep Onset ◽  
Psychotic Symptoms ◽  
Schizophrenia Spectrum Disorders ◽  
Schizophrenia Spectrum ◽  
Outcome Selection ◽  
Spectrum Disorders

Abstract BackgroundSleep problems are common in people with diagnoses of schizophrenia spectrum disorders (> 50%), even during periods of relative stability of psychotic symptoms. Evidence suggests that people living with schizophrenia spectrum disorders are often keen to improve their sleep, but few non-pharmacological sleep treatments are available to patients in specialist mental health services. It has been proposed that occupational therapists may have the relevant skills for the delivery of behavioural sleep interventions. This mixed method, proof-of-concept study aims to assess the feasibility and acceptability of a new intervention, Light-Dark and Activity Rhythm Therapy (L-DART), to improve sleep in people with schizophrenia spectrum disorder diagnoses.MethodsA single group of 10 service users with schizophrenia spectrum diagnoses and self-reported problems with sleep onset, maintenance, timing or quality will be offered L-DART. L-DART will be delivered over 6–9 in person sessions and 3–6 phonecalls by an occupational therapist. Feasibility measures will comprise recruitment and retention logs, fidelity based on session records, adverse effects, and study attrition. Intervention uptake, engagement and adherence will be measured, and barriers to adherence explored. Acceptability will be assessed though quantitative satisfaction ratings and qualitative interviews. Activity patterns and dynamic light exposure will be measured, as well as self-reported sleep, wellbeing and functioning, to inform outcome selection in a larger trial.DiscussionThe findings will inform any necessary modifications to the intervention and its materials, enabling the development of a stage 2 manual and a therapist training package. The results will support the design of a randomised multi-therapist feasibility trial.Trial registrationISRCTN11998005, assigned registration on 17.02.2020

scholarly journals Disturbances of intestinal microbiota in autism spectrum disorders: new horizons in search for pathogenetic approaches to therapy. Рart 3. Рotential strategies of influence on gut-brain axis for correction of symptoms of autism spectrum disorders

2021 ◽  
Vol 98 (3) ◽  
pp. 331-338
Author(s):  
A. S. Blagonravova ◽  
T. V. Zhilyaeva ◽  
D. V. Kvashnina
Keyword(s):  
Autism Spectrum Disorders ◽  
Intestinal Microbiota ◽  
Autism Spectrum ◽  
Published Data ◽  
New Horizons ◽  
Intestinal Dysbiosis ◽  
Spectrum Disorders ◽  
Based Medicine ◽  
Further Development

The third part of the literature review on the role of intestinal microbiota disturbances in the pathogenesis of autism spectrum disorders (ASD) is devoted to the analysis of published literature on possible interventional approaches for intestinal microbiota in ASD and the evaluation of the effectiveness of various types of interventions that have been studied in experiment and in clinical practice. Presented are available data on the possibility of correcting the intestinal microbiota in ASD with diet, taking pre- and probiotics, antibiotic therapy, as well as the effectiveness of transplantation of intestinal microbiota. An analysis of published data suggests that further development of approaches for correcting intestinal dysbiosis in ASD may provide safe and probably effective strategy for behavioral symptoms, but this requires further randomized controlled trials to confirm efficacy and safety from the perspective of evidence-based medicine, since available to date studies are small and scattered, and therefore they can only be considered preliminary.

scholarly journals Lead-OR: A Multimodal Platform for Deep Brain Stimulation Surgery

2021 ◽  
Author(s):  
Simón Oxenford ◽  
Jan Roediger ◽  
Luka Milosevic ◽  
Christopher Güttler ◽  
Philipp Spindler ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Activity Patterns ◽  
Electrophysiological Recordings ◽  
Real Time Visualization ◽  
Neurophysiological Activity ◽  
General Correspondence ◽  
Deep Brain Stimulation Surgery ◽  
Software Toolbox ◽  
Deep Brain

Deep Brain Stimulation (DBS) electrode implant trajectories are stereotactically defined using preoperative neuroimaging. To validate the correct trajectory, microelectrode recordings (MER) can be used to match the neuroanatomy with expected neurophysiological activity patterns, commonly using up to five trajectories in parallel. However, understanding their location in relationship to basal ganglia anatomy can be challenging. Here we present a tool that integrates resources from stereotactic planning, neuroimaging, MER and high-resolution atlas data to create a real-time visualization of the implant trajectory. We show a general correspondence between features derived from neuroimaging and electrophysiological recordings and present example use cases that demonstrate the functionality of the tool. The software toolbox is made openly available, extendable and holds translational potential in the field of stereotactic neurosurgery.

scholarly journals The Relationship between Fatigue and Actigraphy-Derived Sleep and Rest-Activity Patterns in Cancer Survivors

2019 ◽  
Author(s):  
Tristan Martin ◽  
Rosemary Twomey ◽  
Mary E Medysky ◽  
John Temesi ◽  
S. Nicole Culos-Reed ◽  
...  
Keyword(s):  
Cancer Survivors ◽  
Activity Patterns ◽  
Sleep Onset ◽  
Activity Cycle ◽  
Objective Measures ◽  
Sleep Onset Latency ◽  
Cancer Related Fatigue ◽  
Wrist Actigraphy ◽  
Activity Cycles ◽  
Rest Activity

Background: Cancer-related fatigue can continue long after curative cancer treatment. The aim of this study was to investigate sleep and rest-activity cycles in fatigued and non-fatigued cancer survivors. We hypothesized that sleep and rest-activity cycles would be more disturbed in people experiencing clinically-relevant fatigue, and that objective measures of sleep would be associated with the severity of fatigue in cancer survivors.Methods: Cancer survivors (n=87) completed a 14-day wrist actigraphy measurement for the estimation of sleep and rest-activity cycles. Fatigue was measured using the Functional Assessment of Chronic Illness Therapy-Fatigue Scale (FACIT-F). Participants were dichotomised into two groups using a previously validated score (fatigued n=51 and non-fatigued n=36). Perception of sleep was measured using the Insomnia Severity Index (ISI).Results: FACIT-F score was correlated with wake after sleep onset (r =-0.28; p = 0.010), sleep efficiency (r=0.26; p=0.016), sleep onset latency (r=-0.31; p=0.044) and ISI score (r=-0.56; p <0.001). The relative amplitude of the rest-activity cycles was lower in the fatigued vs. non-fatigued group (p=0.017; d=0.58). Conclusions: After treatment for cancer, the severity of cancer-related fatigue is correlated with specific objective measures of sleep, and there is evidence of rest-activity cycle disruption in people experiencing clinically-relevant fatigue.

scholarly journals 0461 Blunted Baroreflex Sensitivity and Reduced Morning Parasympathetic Activity in Sleep-Onset Insomnia

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A177-A177
Author(s):  
H Tsai ◽  
T Kuo ◽  
C Yang
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Cardiovascular Events ◽  
Blood Pressure Variability ◽  
Baroreflex Sensitivity ◽  
Sleep Onset ◽  
Low Frequency ◽  
Sleep Structure ◽  
Frequency Power

Abstract Introduction Insomnia is a risk factor for hypertension and cardiovascular events, and this association is strongest for sleep-onset insomnia. However, little is known about insomnia on cardiovascular modulation, especially soon after morning awakening, the peak period of time for cardiovascular incidents. This study explored morning cardiovascular function in individuals with sleep-onset insomnia by analysing heart rate variability, blood pressure variability, and baroreflex sensitivity. Methods Sleep structure of the participants (15 good sleepers and 13 individuals with sleep-onset insomnia) was measured by laboratory polysomnography, followed by continuous recordings of the participant’s blood pressure and heart rate for 10 min in the morning. Results When compared to the good sleepers, the insomnia group showed significant reductions in total sleep time, a longer sleep-onset latency, and reduced sleep efficiency. The sleep structure, including durations of sleep stages, numbers of awakenings and arousal index did not differ between the groups. After morning awakening (averaged time: 12.33 ± 10.48 min), the shorter R-R intervals, lower total power, and lower high-frequency power of heart rate variability were observed among individuals with sleep-onset insomnia, compared with good sleepers. Elevated slopes of systolic and diastolic blood pressure, as well as lower baroreflex sensitivity, were also shown in the insomnia group. Indices of sympathetic activity, including low-frequency percentage of heart rate variability or low-frequency power of blood pressure variability, did not differ between the groups. Conclusion Weak vagal activity and blunted baroreflex sensitivity were evident among sleep-onset insomnia. These findings indicate difficulty in initiating sleep, without significant sleep fragmentation, can independently affect morning cardiovascular function. This study provides a possible link between sleep-onset insomnia and risk of cardiovascular events. Support N/A

scholarly journals Resting-State Neurophysiological Activity Patterns in Young People with ASD, ADHD, and ASD + ADHD

2017 ◽  
Vol 48 (1) ◽  
pp. 110-122 ◽  
Author(s):  
Elizabeth Shephard ◽  
Charlotte Tye ◽  
Karen L. Ashwood ◽  
Bahar Azadi ◽  
Philip Asherson ◽  
...  
Keyword(s):  
Young People ◽  
Resting State ◽  
Activity Patterns ◽  
Neurophysiological Activity

scholarly journals The Mental Health Ecosystem: Extending Symptom Networks With Risk and Protective Factors

2021 ◽  
Vol 12 ◽  
Author(s):  
Gabriela Lunansky ◽  
Claudia D. van Borkulo ◽  
Jonas M. B. Haslbeck ◽  
Max A. van der Linden ◽  
Cristian J. Garay ◽  
...  
Keyword(s):  
Protective Factors ◽  
Psychiatric Symptoms ◽  
Activity Patterns ◽  
Risk And Protective Factors ◽  
Integrated Analysis ◽  
Healthy State ◽  
Standard Practices ◽  
The Stability ◽  
Comprehensive Modeling ◽  
Further Development

Inspired by modeling approaches from the ecosystems literature, in this paper, we expand the network approach to psychopathology with risk and protective factors to arrive at an integrated analysis of resilience. We take a complexity approach to investigate the multifactorial nature of resilience and present a system in which a network of interacting psychiatric symptoms is targeted by risk and protective factors. These risk and protective factors influence symptom development patterns and thereby increase or decrease the probability that the symptom network is pulled toward a healthy or disorder state. In this way, risk and protective factors influence the resilience of the network. We take a step forward in formalizing the proposed system by implementing it in a statistical model and translating different influences from risk and protective factors to specific targets on the node and edge parameters of the symptom network. To analyze the behavior of the system under different targets, we present two novel network resilience metrics: Expected Symptom Activity (ESA, which indicates how many symptoms are active or inactive) and Symptom Activity Stability (SAS, which indicates how stable the symptom activity patterns are). These metrics follow standard practices in the resilience literature, combined with ideas from ecology and physics, and characterize resilience in terms of the stability of the system's healthy state. By discussing the advantages and limitations of our proposed system and metrics, we provide concrete suggestions for the further development of a comprehensive modeling approach to study the complex relationship between risk and protective factors and resilience.

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