Insomnia as a Symptom or a Disease

Insomnia is an important public health problem because it has a significant negative impact on individuals’ physical, psychological, and social performance, and quality of life. It may arise directly from a sleep-wake regulatory dysfunction and/or indirectly result from comorbid psychiatric or medical conditions. It is also known that insomnia as a symptom has a negative impact on clinical structure, response to therapeutic intervention, and prognosis of co-morbid pathology. However, it has generally been viewed and treated as a symptom rather than disease. It is not always clear which insomnia cases are primary and which are secondary. But the distinction between insomnia as a disease (primary) and as a symptom (secondary) is essential for better conceptualization of the condition for etiopathogenesis, and it is also important for choosing the most appropriate and effective therapy. For these reasons, a systematic evaluation of insomnia cases is needed

The Relationship Between Sleep and Declarative Memory

Sleep is a physiologically active process and the function of cognitive processes is known for a long time. It is also known that sleep has a crucial role in two distinct phases of memory. The first one is the information encoding phase which is prior to the learning process; and the second one is the consolidation phase which is related with the persistency of new information after learning occurs. Consolidation is thought as a function of evolutionarily preserved sleep for many forms of memory. The aim of this review is to get together the main study findings which investigating the relationship between the micro and macro structures of sleep and declarative memory processes. Firstly, definition of sleep is given, and then the specific role of sleep in declarative memory consolidation process is explained. In this context, the projected active system consolidation and synaptic homeostasis hypothesis are explicated. The study results investigating the effects of sleep deprivation on declarative memory and information processing phases are summarized. Finally, the role of sleep spindle and slow wave activity on memory processes, which make up the microstructure of sleep, is discussed

Sleep stage and obstructive apneaic epoch classification using single-lead ECG

<p>Abstract</p> <p>Background</p> <p>Polysomnography (PSG) is used to define physiological sleep and different physiological sleep stages, to assess sleep quality and diagnose many types of sleep disorders such as obstructive sleep apnea. However, PSG requires not only the connection of various sensors and electrodes to the subject but also spending the night in a bed that is different from the subject's own bed. This study is designed to investigate the feasibility of automatic classification of sleep stages and obstructive apneaic epochs using only the features derived from a single-lead electrocardiography (ECG) signal.</p> <p>Methods</p> <p>For this purpose, PSG recordings (ECG included) were obtained during the night's sleep (mean duration 7 hours) of 17 subjects (5 men) with ages between 26 and 67. Based on these recordings, sleep experts performed sleep scoring for each subject. This study consisted of the following steps: (1) Visual inspection of ECG data corresponding to each 30-second epoch, and selection of epochs with relatively clean signals, (2) beat-to-beat interval (RR interval) computation using an R-peak detection algorithm, (3) feature extraction from RR interval values, and (4) classification of sleep stages (or obstructive apneaic periods) using one-versus-rest approach. The features used in the study were the median value, the difference between the 75 and 25 percentile values, and mean absolute deviations of the RR intervals computed for each epoch. The k-nearest-neighbor (kNN), quadratic discriminant analysis (QDA), and support vector machines (SVM) methods were used as the classification tools. In the testing procedure 10-fold cross-validation was employed.</p> <p>Results</p> <p>QDA and SVM performed similarly well and significantly better than kNN for both sleep stage and apneaic epoch classification studies. The classification accuracy rates were between 80 and 90% for the stages other than non-rapid-eye-movement stage 2. The accuracies were 60 or 70% for that specific stage. In five obstructive sleep apnea (OSA) patients, the accurate apneaic epoch detection rates were over 89% for QDA and SVM.</p> <p>Conclusion</p> <p>This study, in general, showed that RR-interval based classification, which requires only single-lead ECG, is feasible for sleep stage and apneaic epoch determination and can pave the road for a simple automatic classification system suitable for home-use.</p

A Case of Secondary Hypersomnia Associated with Amlodipine

Excessive daytime sleepiness is a symptom which can caused serious problems in patients life and is widely common in general population. It may be occurred depending on drug use and medical conditions. Secondary reasons must be investigated before making the diagnosis of primary hypersomnia in patients with excessive daytime sleepiness. In this case report, a patient who was followed up with the diagnosis of idiopathic hypersomnia, but was diagnosed as hypersomnia associated with amlodipine use along with conditions that Obstructive Sleep Apnea syndrome and delayed sleep phase syndrome may cause excessive daytime sleepiness, was presented

Relationship between apnea-hypopnea index and oxygen desaturation in REM-sleep period and morning headache in patients with obstructive sleep apnea syndrome

Introduction: In patients with morning headache, REM sleep period decreases though little is known about its physiopathology. We evaluate the polysomnographic records of obstructive sleep apnea syndrome (OSAS) patients with the hypothesis that oxygen desaturations may be a better determinant in patients with morning headache, especially those in REM sleep periods. Methods: Patient group (group 1) with a total of 361 patients with OSAS and the controls (group 2) with 107 healthy individuals were evaluated. The presence of morning headache was compared between the groups, and sleep parameters were correlated with morning headache. Results: In group 1, patients with OSAS and morning headache, apneahypopnea index in the REM sleep period (26.7/hour, min-max: 0-108.4/hour) was higher than those in patients without morning headache (17.8/hour, min-max: 0-107.8/hour). The minimum oxygen saturation in REM sleep period and total sleep time (TST) was lower in patients with morning headache (REM sleep period: 82%, min-max: 50-94%; TST: 79%, min-max: 50-97%) in compared to patients without morning headache (REM sleep period: 84%, min-max: 50-93%; TST: 81%, min-max: 50-90%). Conclusion: Here we demonstrated that higher apnea-hypopnea index and lower oxygen saturation in REM sleep period were associated with morning headache in patients with obstructive sleep apnea syndrome

A Case of Pleiosomnia Following Traumatic Brain Injury

Sleep-wake disturbances are highly prevalent and often become persistent sequelae after traumatic brain injury. The most common disturbances are insomnia, excessive daytime sleepiness, and increased sleep need (pleiosomnia). Circadian rhythm sleep-wake disturbances and parasomnias are more rare disturbances. These disorders can affect the treatment process and exacerbate other problems such as cognitive, and psychiatric problems. Among these sleep disturbances, hypersomnia is the most damaging disorder for the patients functionality. In this case report, a patient who was complaining of increased sleep need after traumatic brain injury was presented

Recent Advances in Health Biotechnology During Pandemic

The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which emerged in 2019, cut the epoch that will make profound fluctuates in the history of the world in social, economic, and scientific fields. Urgent needs in public health have brought with them innovative approaches, including diagnosis, prevention, and treatment. To exceed the coronavirus disease 2019 (COVID-19) pandemic, various scientific authorities in the world have procreated advances in real time polymerase chain reaction (RT-PCR) based diagnostic tests, rapid diagnostic kits, the development of vaccines for immunization, and the purposing pharmaceuticals for treatment. Diagnosis, treatment, and immunization approaches put for- ward by scientific communities are cross-fed from the accrued knowledge of multidisciplinary sciences in health biotechnology. So much so that the pandemic, urgently prioritized in the world, is not only viral infections but also has been the pulsion in the development of novel approaches in many fields such as diagnosis, treatment, translational medicine, virology, mi- crobiology, immunology, functional nano- and bio-materials, bioinformatics, molecular biol- ogy, genetics, tissue engineering, biomedical devices, and artificial intelligence technologies. In this review, the effects of the COVID-19 pandemic on the development of various scientific areas of health biotechnology are discussed

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Measurement of the top quark mass using charged particles in pp collisions at root s=8 TeV

Peer reviewe