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https://www.readbyqxmd.com/read/28231463/neural-circuitry-of-wakefulness-and-sleep
#1
REVIEW
Thomas E Scammell, Elda Arrigoni, Jonathan O Lipton
Sleep remains one of the most mysterious yet ubiquitous animal behaviors. We review current perspectives on the neural systems that regulate sleep/wake states in mammals and the circadian mechanisms that control their timing. We also outline key models for the regulation of rapid eye movement (REM) sleep and non-REM sleep, how mutual inhibition between specific pathways gives rise to these distinct states, and how dysfunction in these circuits can give rise to sleep disorders.
February 22, 2017: Neuron
https://www.readbyqxmd.com/read/28231027/insomnia-sleep-quality-and-quality-of-life-in-mild-to-moderate-parkinson-s-disease
#2
Shirin Shafazand, Douglas M Wallace, Kristopher L Arheart, Silvia Vargas, Corneliu C Luca, Henry Moore, Heather Katzen, Bonnie Levin, Carlos Singer
RATIONALE: Sleep disorders are prevalent in Parkinson's disease and yet under reported in clinical settings. The contribution of sleep disorders to health-related quality of life (HRQOL) for patients with this degenerative neurological disease are not well known. OBJECTIVES: To evaluate the impact of insomnia symptoms, obstructive sleep apnea (OSA), and poor sleep quality on HRQOL in a cohort of patients with idiopathic Parkinson's disease. METHODS: We enrolled a convenience sample of 66 adults seen in the University of Miami Movement Disorders Clinic between July 2011 and June 2013...
February 23, 2017: Annals of the American Thoracic Society
https://www.readbyqxmd.com/read/28230307/cdkl5-deficiency-entails-sleep-apneas-in-mice
#3
Viviana Lo Martire, Sara Alvente, Stefano Bastianini, Chiara Berteotti, Alessandro Silvani, Alice Valli, Rocchina Viggiano, Elisabetta Ciani, Giovanna Zoccoli
A recently discovered neurodevelopmental disorder caused by the mutation of the cyclin-dependent kinase-like 5 gene (CDKL5) entails complex autistic-like behaviours similar to Rett syndrome, but its impact upon physiological functions remains largely unexplored. Sleep-disordered breathing is common and potentially life-threatening in patients with Rett syndrome; however, evidence is limited in children with CDKL5 disorder, and is lacking altogether in adults. The aim of this study was to test whether the breathing pattern during sleep differs between adult Cdkl5 knockout (Cdkl5-KO) and wild-type (WT) mice...
February 23, 2017: Journal of Sleep Research
https://www.readbyqxmd.com/read/28229310/diagnosis-and-treatment-of-non-24-h-sleep-wake-disorder-in-the-blind
#4
REVIEW
Jonathan S Emens, Charmane I Eastman
Non-24-h sleep-wake disorder (non-24) is a circadian rhythm disorder occurring in 55-70% of totally blind individuals (those lacking conscious light perception) in which the 24-h biological clock (central, hypothalamic, circadian pacemaker) is no longer synchronized, or entrained, to the 24-h day. Instead, the overt rhythms controlled by the biological clock gradually shift progressively earlier or later (free run) in accordance with the clock's near-24-h period, resulting in a recurrent pattern of daytime hypersomnolence and night-time insomnia...
February 22, 2017: Drugs
https://www.readbyqxmd.com/read/28228742/sleep-dependent-consolidation-of-rewarded-behavior-is-diminished-in-children-with-attention-deficit-hyperactivity-disorder-and-a-comorbid-disorder-of-social-behavior
#5
Christian D Wiesner, Ina Molzow, Alexander Prehn-Kristensen, Lioba Baving
Children suffering from attention-deficit hyperactivity disorder (ADHD) often also display impaired learning and memory. Previous research has documented aberrant reward processing in ADHD as well as impaired sleep-dependent consolidation of declarative memory. We investigated whether sleep also fosters the consolidation of behavior learned by probabilistic reward and whether ADHD patients with a comorbid disorder of social behavior show deficits in this memory domain, too. A group of 17 ADHD patients with comorbid disorders of social behavior aged 8-12 years and healthy controls matched for age, IQ, and handedness took part in the experiment...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28228566/reduced-cognitive-function-in-patients-with-parkinson-disease-and-obstructive-sleep-apnea
#6
Victoria P Mery, Priti Gros, Anne-Louise Lafontaine, Ann Robinson, Andrea Benedetti, R John Kimoff, Marta Kaminska
OBJECTIVE: To assess the association between obstructive sleep apnea (OSA) and nonmotor symptoms (NMS), including cognitive dysfunction, in patients with Parkinson disease (PD). METHODS: Patients with idiopathic PD, recruited from a movement disorder clinic, underwent overnight polysomnography. OSA was defined as an apnea-hypopnea index (AHI) ≥15/h. PD severity was assessed using the Hoehn & Yahr (H&Y) scale and the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS)...
February 22, 2017: Neurology
https://www.readbyqxmd.com/read/28227708/towards-detection-of-sleep-apnea-events-by-combining-different-non-contact-measurement-modalities
#7
Abdul Q Javaid, Carlo M Noble, Russell Rosenberg, Mary A Weitnauer, Abdul Q Javaid, Carlo M Noble, Russell Rosenberg, Mary A Weitnauer, Carlo M Noble, Abdul Q Javaid, Mary A Weitnauer, Russell Rosenberg
In this work, we extract features from an under-the-mattress impulse radio ultra-wide band (IR-UWB) radar and a microphone, placed on the side table of the bed, to classify epochs belonging to normal sleep and those that contain an apnea event in them. Sleep apnea is the most common form of sleep related breathing disorder in adults with an estimated prevalance of 5-15%. The common diagnostic process for sleep apnea, polysomnography (PSG), involves sleeping in well-equipped sleep clinics. The cost and discomfort associated with the process has spurred research towards the design of portable home-based monitoring devices...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227574/automatic-sleep-stage-classification-using-ear-eeg
#8
Andreas Stochholm, Kaare Mikkelsen, Preben Kidmose, Andreas Stochholm, Kaare Mikkelsen, Preben Kidmose, Kaare Mikkelsen, Preben Kidmose, Andreas Stochholm
Sleep assessment is of great importance in the diagnosis and treatment of sleep disorders. In clinical practice this is typically performed based on polysomnography recordings and manual sleep staging by experts. This procedure has the disadvantages that the measurements are cumbersome, may have a negative influence on the sleep, and the clinical assessment is labor intensive. Addressing the latter, there has recently been encouraging progress in the field of automatic sleep staging [1]. Furthermore, a minimally obtrusive method for recording EEG from electrodes in the ear (ear-EEG) has recently been proposed [2]...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227458/study-of-phase-estimation-methods-to-analyse-cardiorespiratory-synchronization-in-osa-patients
#9
Jordi Sola-Soler, Beatriz F Giraldo, Jose A Fiz, Raimon Jane, Jordi Sola-Soler, Beatriz F Giraldo, Jose A Fiz, Raimon Jane, Beatriz F Giraldo, Raimon Jane, Jose A Fiz, Jordi Sola-Soler
Obstructive Sleep Apnea (OSA) is a sleep disorder highly prevalent in the general population. Cardiorespiratory Phase Synchronization (CRPS) is a form of non-linear interaction between respiratory and cardiovascular systems that was found to be reduced in severe OSA patients. The Hilbert Transform (HT) method was the recommended choice for estimating the respiratory phase in CRPS studies. But we have noticed that HT provides a phase that is aligned to the transition between the exhalation and the inhalation parts of different breathing cycles, instead of being aligned to the breathing onsets...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227285/non-contact-real-time-estimation-of-intrapulmonary-pressure-and-tidal-volume-for-chronic-heart-failure-patients
#10
Vinh Phuc Tran, Adel Ali Al-Jumaily, Vinh Phuc Tran, Adel Ali Al-Jumaily, Vinh Phuc Tran, Adel Ali Al-Jumaily
Long-term continuous patient monitoring is required in many health systems for monitoring and analytical diagnosing purposes. It has been recognized that these types of monitoring systems have shortcomings related to patient comfort and/or functionality. Non-contact monitoring systems have been developed to address some of these shortcomings. One of such systems is non-contact physiological vital signs assessments for Chronic Heart Failure (CHF) patients. This paper presents a novel pulmonary ventilation model that defines the relationship between the intrapulmonary pressure and the chest displacement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227264/sleep-architecture-measurement-based-on-cardiorespiratory-parameters
#11
Alexander Tataraidze, Lyudmila Korostovtseva, Lesya Anishchenko, Mikhail Bochkarev, Yurii Sviryaev, Alexander Tataraidze, Lyudmila Korostovtseva, Lesya Anishchenko, Mikhail Bochkarev, Yurii Sviryaev, Mikhail Bochkarev, Yurii Sviryaev, Lesya Anishchenko, Lyudmila Korostovtseva, Alexander Tataraidze
This paper presents a method for the detection of wakeful state, rapid eye movement sleep (REM), light sleep (N1&N2) and deep sleep (N3&N4) based on cardiorespiratory parameters. Experiments were conducted with data of 625 subjects without sleep-disordered breathing selected from the SHHS dataset. Compared to previous studies, our method considers results of neighboring epochs classification and epoch position over record time. The method demonstrates Cohen's kappa of 0.57 ± 0.13 and the accuracy of 71.4 ± 8...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227200/obstructive-sleep-apnea-severity-estimation-fusion-of-speech-based-systems
#12
D Ben Or, E Dafna, A Tarasiuk, Y Zigel, D Ben Or, E Dafna, A Tarasiuk, Y Zigel, A Tarasiuk, Y Zigel, E Dafna
Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder. Previous studies associated OSA with anatomical abnormalities of the upper respiratory tract that may be reflected in the acoustic characteristics of speech. We tested the hypothesis that the speech signal carries essential information that can assist in early assessment of OSA severity by estimating apnea-hypopnea index (AHI). 198 men referred to routine polysomnography (PSG) were recorded shortly prior to sleep onset while reading a one-minute speech protocol...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227198/a-new-algorithm-for-the-detection-of-sleep-apnea-events-in-respiration-signals
#13
Jungyoon Kim, Hisham ElMoaqet, Dawn M Tilbury, Satya-Krishna Ramachandran, Jungyoon Kim, Hisham ElMoaqet, Dawn M Tilbury, Satya-Krishna Ramachandran, Hisham ElMoaqet, Jungyoon Kim, Dawn M Tilbury, Satya-Krishna Ramachandran
Sleep apneas are the most common type of sleep-related breathing disorders which cause a patient to move from a good sleep into an inefficient sleep. In addition, sleep apnea widely impacts the American population and is a large cost for healthcare. Traditional detection methods of sleep apneas are complex, expensive, and invasive to most patients. Among the various physiological signals, respiration signals are relatively easy to be monitored. However, not many studies are conducted using respiration signal only, and most of the previous algorithms are insufficient to detect apnea events...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227112/estimation-of-macro-sleep-stages-from-whole-night-audio-analysis
#14
E Dafna, M Halevi, D Ben Or, A Tarasiuk, Y Zigel, E Dafna, M Halevi, D Ben Or, A Tarasiuk, Y Zigel, D Ben Or, Y Zigel, M Halevi, E Dafna, A Tarasiuk
During routine sleep diagnostic procedure, sleep is broadly divided into three states: rapid eye movement (REM), non-REM (NREM) states, and wake, frequently named macro-sleep stages (MSS). In this study, we present a pioneering attempt for MSS detection using full night audio analysis. Our working hypothesis is that there might be differences in sound properties within each MSS due to breathing efforts (or snores) and body movements in bed. In this study, audio signals of 35 patients referred to a sleep laboratory were recorded and analyzed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227110/bioradiolocation-based-sleep-stage-classification
#15
Alexander Tataraidze, Lyudmila Korostovtseva, Lesya Anishchenko, Mikhail Bochkarev, Yurii Sviryaev, Sergey Ivashov, Alexander Tataraidze, Lyudmila Korostovtseva, Lesya Anishchenko, Mikhail Bochkarev, Yurii Sviryaev, Sergey Ivashov, Mikhail Bochkarev, Yurii Sviryaev, Lesya Anishchenko, Lyudmila Korostovtseva, Sergey Ivashov, Alexander Tataraidze
This paper presents a method for classifying wakefulness, REM, light and deep sleep based on the analysis of respiratory activity and body motions acquired by a bioradar. The method was validated using data of 32 subjects without sleep-disordered breathing, who underwent a polysomnography study in a sleep laboratory. We achieved Cohen's kappa of 0.49 in the wake-REM-light-deep sleep classification, 0.55 for the wake-REM-NREM classification and 0.57 for the sleep/wakefulness determination. The results might be useful for the development of unobtrusive sleep monitoring systems for diagnostics, prevention, and management of sleep disorders...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227011/how-many-sleep-stages-do-we-need-for-an-efficient-automatic-insomnia-diagnosis
#16
Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed, Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed, Sana Tmar-Ben Hamida, Martin Glos, Thomas Penzel, Beena Ahmed
Tools used by clinicians to diagnose and treat insomnia typically include sleep diaries and questionnaires. Overnight polysomnography (PSG) recordings are used when the initial diagnosis is uncertain due to the presence of other sleep disorders or when the treatment, either behavioral or pharmacologic, is unsuccessful. However, the analysis and the scoring of PSG data are time-consuming. To simplify the diagnosis process, in this paper we have proposed an efficient insomnia detection algorithm based on a central single electroencephalographic (EEG) channel (C3) using only deep sleep...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226995/a-daytime-obstructive-sleep-apnea-severity-assessment-framework
#17
Lauren Samy, Paul M Macey, Majid Sarrafzadeh, Lauren Samy, Paul M Macey, Majid Sarrafzadeh, Majid Sarrafzadeh, Lauren Samy
Obstructive sleep apnea (OSA) is a prevalent sleep disorder characterized by repeated episodes of complete or partial blockage of the upper airway. These episodes can interfere with sound sleep and have fatal health consequences. They can also reduce the flow of oxygen to vital organs, like the brain, and lead to brain damage. In this paper, we leverage the correlation between brain damage and OSA to design a prediction framework that can assess the severity level of the OSA condition, as well as estimate the Apnea-Hypopnea Index (AHI) using only features obtained during wakefulness...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226965/distinguishing-obstructive-from-central-sleep-apneas-and-hypopneas-using-linear-svm-and-acoustic-features
#18
Richard Hummel, T Douglas Bradley, Devin Packer, Hisham Alshaer, Richard Hummel, T Douglas Bradley, Devin Packer, Hisham Alshaer, Devin Packer, T Douglas Bradley, Hisham Alshaer, Richard Hummel
Sleep Apnea (SA) is a very common but underdiagnosed respiratory disorder. SA has 2 main types, obstructive and central sleep apnea (OSA and CSA, respectively). The distinction between the 2 types is important for proper clinical management. Our aim in this study was to deploy acoustic analysis of breath sounds to distinguish central from obstructive events. We recorded breath sounds from 29 patients from which 45 segments with obstructive only and 40 segments with central only respiratory events were isolated...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226878/design-and-preliminary-evaluation-of-a-wearable-device-for-mass-screening-of-sleep-apnea
#19
Rohan S Puri, Athanasios G Athanassiadis, Niharika Gill, Sai Sri Sathya, Geetanjali Rathod, Akshat Wahi, Guy Satat, Maulik Majmudar, Pratik Shah, Rohan S Puri, Athanasios G Athanassiadis, Niharika Gill, Sai Sri Sathya, Geetanjali Rathod, Akshat Wahi, Guy Satat, Maulik Majmudar, Pratik Shah, Athanasios G Athanassiadis, Maulik Majmudar, Geetanjali Rathod, Sai Sri Sathya, Akshat Wahi, Niharika Gill, Pratik Shah, Rohan S Puri, Guy Satat
Between 7-18 million Americans suffer from sleep disordered breathing (SDB), including those who suffer from obstructive sleep apnea (OSA). Despite this high prevalence and burden of OSA, existing diagnostic techniques remain impractical for widespread screening. In this study, we introduce a new model for OSA screening and describe an at-home wearable sleep mask (named ARAM) that can robustly track the wearers' sleep patterns. This monitoring is achieved using select sensors that enable screening and monitoring in a form-factor that can be easily self-instrumented...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226825/effect-of-temperature-on-sleep-regulation-in-an-animal-epilepsy-model
#20
Asmaa Ajwad, Farid Yaghouby, Dillon Huffman, Bruce O'Hara, Sridhar Sunderam, Asmaa Ajwad, Farid Yaghouby, Dillon Huffman, Bruce O'Hara, Sridhar Sunderam, Dillon Huffman, Farid Yaghouby, Asmaa Ajwad, Bruce O'Hara, Sridhar Sunderam
Besides recurring seizures, disordered sleep is common in individuals with epilepsy and may present as reduced sleep depth, altered proportions of different stages of sleep, intermittent arousal, and other phenomena. Sleep loss can in turn precipitate seizures, thus sustaining a vicious cycle. It is well known that changes in ambient temperature elicit thermoregulatory responses that alter the dynamics of sleep. As a first step toward therapeutic sleep modulation for epilepsy, we assessed the effect of elevated ambient temperature on sleep dynamics and seizure yield in the chronic pilocarpine mouse model of temporal lobe epilepsy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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