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Статті в журналах з теми "Sleep macrostructure"

Автор: Grafiati

Опубліковано: 17 листопада 2023

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1

Plazzi, Giuseppe, and Fabio Pizza. "Sleep Dynamics Beyond Traditional Sleep Macrostructure." Sleep 36, no. 8 (2013): 1123–24. http://dx.doi.org/10.5665/sleep.2864.

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2

Kis, Anna, Anna Gergely, Ágoston Galambos, et al. "Sleep macrostructure is modulated by positive and negative social experience in adult pet dogs." Proceedings of the Royal Society B: Biological Sciences 284, no. 1865 (2017): 20171883. http://dx.doi.org/10.1098/rspb.2017.1883.

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The effects of emotionally valenced events on sleep physiology are well studied in humans and laboratory rodents. However, little is known about these effects in other species, despite the fact that several sleep characteristics differ across species and thus limit the generalizability of such findings. Here we studied the effect of positive and negative social experiences on sleep macrostructure in dogs, a species proven to be a good model of human social cognition. A non-invasive polysomnography method was used to collect data from pet dogs ( n = 16) participating in 3-hour-long sleep occasi

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3

Schwarz, Johanna F. A., Torbjörn Åkerstedt, Eva Lindberg, Georg Gruber, Håkan Fischer, and Jenny Theorell-Haglöw. "Age affects sleep microstructure more than sleep macrostructure." Journal of Sleep Research 26, no. 3 (2017): 277–87. http://dx.doi.org/10.1111/jsr.12478.

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4

Malinowska, U., P. J. Durka, K. J. Blinowska, W. Szelenberger, and A. Wakarow. "Micro- and macrostructure of sleep EEG." IEEE Engineering in Medicine and Biology Magazine 25, no. 4 (2006): 26–31. http://dx.doi.org/10.1109/memb.2006.1657784.

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5

Brandão, Luiz Eduardo Mateus, Alexandru Popa, Erasmus Cedernaes, Christopher Cedernaes, Lauri Lampola, and Jonathan Cedernaes. "0253 Consumption of a Western diet impacts sleep microstructure during normal sleep and recovery sleep – a randomized crossover trial." SLEEP 46, Supplement_1 (2023): A113. http://dx.doi.org/10.1093/sleep/zsad077.0253.

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Abstract Introduction While intake of specific macronutrients has been associated with changes in sleep parameters in humans – such as sleep macrostructure – direct interventional evidence is lacking. Thus, we conducted a randomized trial to examine how consumption of an unhealthy, Western diet impacts sleep at the macrostructure to microstructure level in humans. Methods In a crossover study, 15 healthy normal-weight men consumed two isocaloric diets in random order: an unhealthy high-fat, high-sugar diet, and a healthy, low-fat, low-sugar diet. Following each week-long diet, in-lab sleep was

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6

Barreto, José Roberto Santiago, Regina Maria França Fernandes, and Américo Ceiki Sakamoto. "Correlation of sleep macrostructure parameters and idiopathic epilepsies." Arquivos de Neuro-Psiquiatria 60, no. 2B (2002): 353–57. http://dx.doi.org/10.1590/s0004-282x2002000300002.

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Sleep and epilepsy share some common mechanisms. The objective of the present investigation was to study the macrostructure of sleep in patients with idiopathic epilepsies, focal and generalized, comparing these two groups to each other and to a control group of 12 individuals without epilepsy. A total of 35 polysomnographies were performed, 12 of them in the control group, 10 in patients with idiopathic generalized epilepsies, and 13 in patients with idiopathic focal epilepsies. Antiepileptic medications were maintained for ethical reasons. The group with idiopathic focal epilepsy showed an i

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7

González-Naranjo, Justa Elizabeth, Maydelin Alfonso-Alfonso, Daymet Grass-Fernandez, et al. "Analysis of Sleep Macrostructure in Patients Diagnosed with Parkinson’s Disease." Behavioral Sciences 9, no. 1 (2019): 6. http://dx.doi.org/10.3390/bs9010006.

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Patients diagnosed with Parkinson’s disease present sleep disorders with a higher frequency than the general population. The sleep architecture in these patients shows variations with respect to the normal population, so in this work it was decided to investigate the characteristics of the macroarchitecture of sleep in patients diagnosed with Parkinson’s disease. A polysomnographic study was carried out on 77 patients diagnosed with Parkinson’s disease. All the studies were processed according to the AASM Manual for the Scoring of Sleep and Associated Events v.2.2, and to the criteria of the I

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8

Esposito, Maria, Francesco Precenzano, Ilaria Bitetti, et al. "Sleep Macrostructure and NREM Sleep Instability Analysis in Pediatric Developmental Coordination Disorder." International Journal of Environmental Research and Public Health 16, no. 19 (2019): 3716. http://dx.doi.org/10.3390/ijerph16193716.

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Developmental Coordination Disorder (DCD) is considered to be abnormal motor skills learning, identified by clumsiness, slowness, and/or motor inaccuracy impairing the daily-life activities in all ages of life, in the absence of sensory, cognitive, or neurological deficits impairment. The present research focuses on studying DCD sleep structure and Cyclic Alternating Pattern (CAP) parameters with a full overnight polysomnography and to study the putative correlations between sleep architecture and CAP parameters with motor coordination skills. The study was a cross-sectional design involving 4

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9

Boghez, Floriana, and Ioana Mandruta. "SCORING SLEEP: THE RULES FOR LOOKING INSIDE." Romanian Journal of Neurology 14, no. 3 (2015): 119–24. http://dx.doi.org/10.37897/rjn.2015.3.2.

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Polysomnography is the most comprehensive sleep study, a multi-parametric recording test (electroencephalography, electrooculogram, chin and limbs electromyogram, respiratory and cardiac functions and permanent video-recording), used as an important diagnostic tool for the sleep disorders. Sleep architecture or the sleep macrostructure is a term used to describe the divisions of sleep into specific sleep stages using electro encephalographic (EEG), electrooculographic (EOG) and electromyographic (EMG) criteria: NREM (non-rapid eye movements) stages – N1, N2 and N3, and REM (rapid eye movements

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10

Aptel, Florent, Perrine Canaud, Renaud Tamisier, et al. "Relationship Between Nocturnal Intraocular Pressure Variations and Sleep Macrostructure." Investigative Opthalmology & Visual Science 56, no. 11 (2015): 6899. http://dx.doi.org/10.1167/iovs.15-17456.

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11

Williams, Ellita, Anna Mullins, Omonigho Bubu, et al. "800 Similarities of Sleep Macrostructure in Cognitively Normal Elderly and Patients with Traumatic Brain Injury." Sleep 44, Supplement_2 (2021): A311—A312. http://dx.doi.org/10.1093/sleep/zsab072.797.

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Abstract Introduction The stability of sleep architecture and breathing across nights can depend on factors relating to the integrity of the nervous system. Traumatic brain injury (TBI) represents a sudden-onset dysfunction of the nervous system while normal aging is associated with more gradual changes to the nervous system. While normal aging and history of TBI are both associated with sleep complaints, less is known about the stability of sleep physiology variables in these populations. Therefore, the aims of our study are to determine which sleep variables have greater night-to-night stabi

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12

Jung, Da Woon, Su Hwan Hwang, Yu Jin Lee, Do-Un Jeong, and Kwang Suk Park. "Apnea–hypopnea index estimation using quantitative analysis of sleep macrostructure." Physiological Measurement 37, no. 4 (2016): 554–63. http://dx.doi.org/10.1088/0967-3334/37/4/554.

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13

Zhang, Xinyan, Marcel Smits, Leopold Curfs, and Karen Spruyt. "Sleep Respiratory Disturbances in Girls with Rett Syndrome." International Journal of Environmental Research and Public Health 19, no. 20 (2022): 13082. http://dx.doi.org/10.3390/ijerph192013082.

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Individuals with Rett Syndrome (RTT), a rare neurodevelopmental disorder, present disordered breathing during wakefulness. Whilst findings on breathing during sleep are contradictory, the relation between sleep breathing and their clinical features, genetic characteristics, age, and sleep phase is rarely investigated, which is the objective of this study. Overnight polysomnography (PSG) was performed. Sleep macrostructure parameters were compared between the RTT subjects with and without sleep-disordered breathing (SDB). The association between the apnea–hypopnea index (AHI) with age at PSG wa

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14

Ramos, Regina Terse Trindade, Maria Angélica Pinheiro Santana, Priscila de Carvalho Almeida, Almério de Souza Machado Júnior, José Bouzas Araújo-Filho, and Cristina Salles. "Nocturnal hypoxemia in children and adolescents with cystic fibrosis." Jornal Brasileiro de Pneumologia 39, no. 6 (2013): 667–74. http://dx.doi.org/10.1590/s1806-37132013000600005.

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OBJECTIVE: To determine the prevalence of nocturnal hypoxemia and its association with pulmonary function, nutritional status, sleep macrostructure, and obstructive respiratory events during sleep in a population of clinically stable children and adolescents with cystic fibrosis (CF).METHODS: This was a cross-sectional study involving 67 children and adolescents with CF between 2 and 14 years of age. All of the participants underwent polysomnography, and SpO2 was measured by pulse oximetry. We also evaluated the Shwachman-Kulczycki (S-K) scores, spirometry findings, and nutritional status of t

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15

Gergely, Anna, Orsolya Kiss, Vivien Reicher, et al. "Reliability of Family Dogs’ Sleep Structure Scoring Based on Manual and Automated Sleep Stage Identification." Animals 10, no. 6 (2020): 927. http://dx.doi.org/10.3390/ani10060927.

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Non-invasive polysomnography recording on dogs has been claimed to produce data comparable to those for humans regarding sleep macrostructure, EEG spectra and sleep spindles. While functional parallels have been described relating to both affective (e.g., emotion processing) and cognitive (e.g., memory consolidation) domains, methodologically relevant questions about the reliability of sleep stage scoring still need to be addressed. In Study 1, we analyzed the effects of different coders and different numbers of visible EEG channels on the visual scoring of the same polysomnography recordings.

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16

Myers, A., C. Matthews, T. Kille, B. Riedner, B. Flaherty, and S. Jones. "0340 Regional Changes in Sleep Electroencephalography Power in Youth with Sleep-Disordered Breathing: A High-Density EEG Study." Sleep 43, Supplement_1 (2020): A129. http://dx.doi.org/10.1093/sleep/zsaa056.337.

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Abstract Introduction Daytime neurobehavioral impairments are commonly associated with sleep disordered breathing (SDB) in children. However, a large number of studies have shown only minimal differences in sleep between children with SDB relative to control children, suggesting that sleep dysfunction is not responsible for daytime impairment. Importantly, however, previous studies have measured sleep EEG using only frontal scalp electrodes, failing to capture the regional features of sleep that are prominent during development. Here we measure sleep using hdEEG in SDB and healthy children to

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17

Öztura, I., D. Kızıltan Çelik, and B. Baklan. "0689 The Evaluation of Macrostructure and Microstructure of Sleep in Patients with NREM Parasomnias." Sleep 41, suppl_1 (2018): A255. http://dx.doi.org/10.1093/sleep/zsy061.688.

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18

Peterson, B., A. Castelnovo, B. Riedner, R. Herringa, and S. Jones. "1003 Sleep Spindle Abnormalities In Youth With Ptsd." Sleep 43, Supplement_1 (2020): A381. http://dx.doi.org/10.1093/sleep/zsaa056.999.

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Abstract Introduction Sleep disturbance is central to the phenomenology of PTSD across the lifespan with up to 90% of youth with PTSD reporting sleep disturbance. Subjective sleep dysfunction has also been linked to the development, maintenance and severity of the disorder. However, to date there have been no objective EEG assessments of sleep in youth with PTSD, and little is known about how the disease impacts specific sleep features. Methods Ten youth with PTSD (aged 14.5±3.2; CAPS-CA score 60.5±25.3) and ten age-and sex-matched typically developing youth (TD) (aged 14.7±3.2) completed two

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19

Mullins, A. E., N. Bagchi, A. Parekh, et al. "0838 Sex Specific Changes in Sleep Macro-Structure With Obstructive Sleep Apnea in a Large Clinical Population of Older Adults." Sleep 43, Supplement_1 (2020): A319. http://dx.doi.org/10.1093/sleep/zsaa056.834.

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Abstract Introduction Sleep architecture is influenced by age and sex and is disrupted by obstructive sleep apnea (OSA) and periodic limb movements (PLM) of sleep. Although increasing OSA severity is thought to decrease both REM and slow wave sleep (SWS), it may do so in non-linear ways. Here, we aim to 1) compare sleep macrostructure between older men and women, 2) compare metrics of total and REM-specific OSA severity between older men and women, and 3) examine associations between metrics of OSA severity and REM sleep and SWS in a clinical sample. Methods Clinical in-lab diagnostic polysomn

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20

Marca, G. Della, C. Vollono, M. Rubino, A. Capuano, G. Di Trapani, and P. Mariotti. "A Sleep Study in Cluster Headache." Cephalalgia 26, no. 3 (2006): 290–94. http://dx.doi.org/10.1111/j.1468-2982.2005.01037.x.

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Cluster headache (CH) is a primary headache with a close relation to sleep. CH presents a circa-annual rhythmicity; attacks occur preferably during the night, in rapid eye movement (REM) sleep, and they are associated with autonomic and neuroendocrine modifications. The posterior hypothalamus is the key structure for the biological phenomenon of CH. Our aim is to describe a 55-year-old man presenting a typical episodic CH, in whom we performed a prolonged sleep study, consisting of a 9-week actigraphic recording and repeated polysomnography, with evaluation of both sleep macrostructure and mic

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21

Bouchequet, Paul, Thomas Andrillon, Geoffroy Solelhac, Alexandre Rouen, Fabien Sauvet, and Damien Léger. "0424 Visualizing insomnia phenotypes using dimensionality reduction techniques." SLEEP 46, Supplement_1 (2023): A188—A189. http://dx.doi.org/10.1093/sleep/zsad077.0424.

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Abstract Introduction A large number of features can be extracted from a single hypnogram, such as stages durations, onsets, or transitions probabilities. Those numerous indicators can turn a collection of sleep records into a high dimension space. Dimensionality reduction techniques are then useful to reveal patterns in data. We used 3 dimensionality reduction techniques to visualize insomnia phenotypes from a dataset of insomnia and control sleep records: principal component analysis (PCA), t-distributed stochastic neighbor embedding (t-SNE) and uniform manifold approximation and projection

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22

Carotenuto, M., F. Precenzano, M. G. Gleijeses, et al. "Sleep macrostructure in adolescents with Anorexia Nervosa: A pilot case-control study." Sleep Medicine 100 (December 2022): S206. http://dx.doi.org/10.1016/j.sleep.2022.05.556.

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23

Seifpour, S., A. Khorrami Banaraki, M. Torabi Nami, K. Sadeghniiat Haghighi, M. Mikaili, and A. Hekmatmanesh. "Learning of emotional and nonemotional visual stimuli is related to sleep macrostructure." Sleep Medicine 16 (December 2015): S250. http://dx.doi.org/10.1016/j.sleep.2015.02.1540.

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24

Aguilar-Andújar, M., C. Menéndez De León, I. Ramos Sánchez, L. Dinca Avarvarei, and A. Márquez Luque. "Sleep characteristics in children with specific language impairment: macrostructure and microstrucrure analysis." Sleep Medicine 14 (December 2013): e61-e62. http://dx.doi.org/10.1016/j.sleep.2013.11.114.

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25

Álvarez-Estévez, Diego, José M. Fernández-Pastoriza, Elena Hernández-Pereira, and Vicente Moret-Bonillo. "A method for the automatic analysis of the sleep macrostructure in continuum." Expert Systems with Applications 40, no. 5 (2013): 1796–803. http://dx.doi.org/10.1016/j.eswa.2012.09.022.

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26

Mullins, Anna, Ankit Parekh, Korey Kam, et al. "0308 The stability of slow wave sleep and EEG microstructure measures across two consecutive nights of laboratory polysomnography in cognitively normal older adults." Sleep 45, Supplement_1 (2022): A138—A139. http://dx.doi.org/10.1093/sleep/zsac079.306.

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Abstract Introduction Healthy and sleep disordered populations show high night-to-night variability of polysomnographic (PSG) macrostructure metrics, however there is evidence of stability in EEG microstructure. In-laboratory PSG is critical to gold standard measures of sleep physiology but multi-night investigations are resource heavy and burdensome to participants. Given the theoretical link between sleep and Alzheimer's disease (AD) pathology (tau and β-amyloid burden), we assessed the night-to-night reliability of sleep macrostructure and EEG microstructure in a group of cognitively normal

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27

Zhang, Xin-Yan, and Karen Spruyt. "Literature Cases Summarized Based on Their Polysomnographic Findings in Rett Syndrome." International Journal of Environmental Research and Public Health 19, no. 6 (2022): 3422. http://dx.doi.org/10.3390/ijerph19063422.

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Rett syndrome (RTT) is a severe and rare neurodevelopmental disorder affecting mostly girls. In RTT, an impaired sleep pattern is a supportive criterion for the diagnosis, yet little is known regarding the sleep structure and sleep respiratory events. Aiming to delineate sleep by aggregating RTT case (series) data from published polysomnographic studies, seventy-four RTT cases were collected from eleven studies up until 6 February 2022 (PROSPERO: CRD 42020198099). We compared the polysomnographic data within RTT stratifications and to a typically developing population. MECP2 cases demonstrated

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28

Sixel-Döring, Friederike, Ellen Trautmann, Brit Mollenhauer, and Claudia Trenkwalder. "Age, drugs, or disease: What alters the macrostructure of sleep in Parkinson’s disease?" Sleep Medicine 13, no. 9 (2012): 1178–83. http://dx.doi.org/10.1016/j.sleep.2012.06.009.

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29

Mendez, Martin O., Elvia R. Palacios-Hernandez, Alfonso Alba, Juha M. Kortelainen, Mirja L. Tenhunen, and Anna M. Bianchi. "Detection of the Sleep Stages Throughout Non-Obtrusive Measures of Inter-Beat Fluctuations and Motion: Night and Day Sleep of Female Shift Workers." Fluctuation and Noise Letters 16, no. 04 (2017): 1750033. http://dx.doi.org/10.1142/s021947751750033x.

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Automatic sleep staging based on inter-beat fluctuations and motion signals recorded through a pressure bed sensor during sleep is presented. The analysis of the sleep was based on the three major divisions of the sleep time: Wake, non-rapid eye movement (nREM) and rapid eye movement (REM) sleep stages. Twelve sleep recordings, from six females working alternate shift, with their respective annotations were used in the study. Six recordings were acquired during the night and six during the day after a night shift. A Time-Variant Autoregressive Model was used to extract features from inter-beat

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30

Peřinová, Pavla, Eva Feketeová, David Kemlink, et al. "Smoking Prevalence and Its Clinical Correlations in Patients with Narcolepsy-cataplexy." Prague Medical Report 117, no. 2-3 (2016): 81–89. http://dx.doi.org/10.14712/23362936.2016.8.

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Narcolepsy-cataplexy (NC) is a chronic neurological disease with suggested autoimmune etiopathogenesis. Nicotine stimulates central nervous system and smoking increases the risk of autoimmune diseases. Assessment of smoking habits and its correlation to clinical parameters among 87 adult NC patients (38 male, 49 female) included night polysomnography and multiple sleep latency test. In our sample, 43.7% NC patients were regular smokers, and 19.5% former smokers compared to 22.2%, and 12.6%, respectively, in the general population. Patients started to smoke in the mean age of 20.0 (SD ±6.0) yea

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31

Conte, Francesca, Serena Malloggi, Oreste De Rosa, et al. "Sleep Continuity, Stability and Cyclic Organization Are Impaired in Insomniacs: A Case–Control Study." International Journal of Environmental Research and Public Health 20, no. 2 (2023): 1240. http://dx.doi.org/10.3390/ijerph20021240.

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The possibility of distinguishing insomniacs from good sleepers based on polysomnography (PSG) remains an open question. While these groups show modest differences in traditional PSG parameters, some studies suggest that finer measures may be more useful. Here we assess differences between good sleepers (GS), poor sleepers (PS) and insomniacs (IN) in classical PSG measures as well as in sleep continuity, stability and cyclic organization. PSG-monitored sleep (two nights) of 17 IN (diagnosed through a standard clinical interview; Pittsburgh Sleep Quality Index (PSQI) > 5, Insomnia Severity I

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32

Dunbar, C., P. Catcheside, A. Vakulin, et al. "P031 Associations between sound pressure levels and amplitude modulation from wind farm noise and ambulatory recorded objective macro-sleep parameters." SLEEP Advances 2, Supplement_1 (2021): A31. http://dx.doi.org/10.1093/sleepadvances/zpab014.079.

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Abstract Introduction This study used ambulatory sleep studies to examine potential relationships between wind farm sound pressure level ([SPL] in dBA) and amplitude modulation (AM) on conventional measures of sleep quality in individuals residing within 10 km of a wind turbine in Australia. Methods Twenty six individuals (42:58%, females:males) aged (mean ± standard deviation) 53.2±12.2 years and residing 2.9±1.7 km from the nearest wind turbine underwent two consecutive ambulatory sleep studies and detailed indoor time-synchronised acoustic recordings inside their home. Associations between

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33

Chamorro, R., C. Algarín, M. Garrido, et al. "Night time sleep macrostructure is altered in otherwise healthy 10-year-old overweight children." International Journal of Obesity 38, no. 8 (2013): 1120–25. http://dx.doi.org/10.1038/ijo.2013.238.

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34

Bjurström, Martin F., Richard Olmstead, and Michael R. Irwin. "Reciprocal Relationship Between Sleep Macrostructure and Evening and Morning Cellular Inflammation in Rheumatoid Arthritis." Psychosomatic Medicine 79, no. 1 (2017): 24–33. http://dx.doi.org/10.1097/psy.0000000000000363.

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35

Korkmaz, Selda, Nedime Tugce Bilecenoglu, Murat Aksu, and Tahir Kurtulus Yoldas. "Cyclic Alternating Pattern in Obstructive Sleep Apnea Patients with versus without Excessive Sleepiness." Sleep Disorders 2018 (2018): 1–7. http://dx.doi.org/10.1155/2018/8713409.

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Background.One of the main hypotheses on the development of daytime sleepiness (ES) is increased arousal in obstructive sleep apnea (OSA). Cyclic alternating pattern (CAP) is considered to be the main expression of sleep microstructure rather than arousal. Therefore, we aimed to investigate whether there is any difference between OSA patients with versus without ES in terms of the parameters of sleep macro- and microstructure and which variables are associated with Epworth Sleepiness Scale (ESS) score.Methods.Thirty-eight male patients with moderate to severe OSA were divided into two subgroup

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36

Zucconi, Marco, Alessandro Oldani, Salvatore Smirne, and Luigi Ferini-Strambi. "The Macrostructure and Microstructure of Sleep in Patients With Autosomal Dominant Nocturnal Frontal Lobe Epilepsy." Journal of Clinical Neurophysiology 17, no. 1 (2000): 77–86. http://dx.doi.org/10.1097/00004691-200001000-00008.

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37

Cappellano, S., F. Testa, M. Caccamo, et al. "Sleep macrostructure and microstructure in psychogenic non epileptic seizures: Comparison Between PNES and Temporal Lobe epilepsy." Sleep Medicine 100 (December 2022): S183—S184. http://dx.doi.org/10.1016/j.sleep.2022.05.495.

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38

Sharma, Manish, Virendra Patel, Jainendra Tiwari, and U. Rajendra Acharya. "Automated Characterization of Cyclic Alternating Pattern Using Wavelet-Based Features and Ensemble Learning Techniques with EEG Signals." Diagnostics 11, no. 8 (2021): 1380. http://dx.doi.org/10.3390/diagnostics11081380.

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Sleep is highly essential for maintaining metabolism of the body and mental balance for increased productivity and concentration. Often, sleep is analyzed using macrostructure sleep stages which alone cannot provide information about the functional structure and stability of sleep. The cyclic alternating pattern (CAP) is a physiological recurring electroencephalogram (EEG) activity occurring in the brain during sleep and captures microstructure of the sleep and can be used to identify sleep instability. The CAP can also be associated with various sleep-related pathologies, and can be useful in

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Monda, Vincenzo, Marco Carotenuto, Francesco Precenzano, et al. "Neuropeptides’ Hypothalamic Regulation of Sleep Control in Children Affected by Functional Non-Retentive Fecal Incontinence." Brain Sciences 10, no. 3 (2020): 129. http://dx.doi.org/10.3390/brainsci10030129.

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Functional non-retentive fecal incontinence (FNRFI) is a common problem in pediatric age. FNRFI is defined as unintended loss of stool in a 4-year-old or older child after organic causes have been excluded. FNRFI tends to affects up to 3% of children older than 4 years, with males being affected more frequently than females. Clinically, children affected by FNRFI have normal intestinal movements and stool consistency. Literature data show that children with fecal incontinence have increased levels of separation anxiety, specific phobias, general anxiety, attention-deficit/hyperactivity disorde

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Chefranov, S. G., and G. V. Kovrov. "Mathematical simulation of the macrostructure scale-similar organization of sleep and the integrative index of its effectiveness." Doklady Biological Sciences 407, no. 1 (2006): 131–35. http://dx.doi.org/10.1134/s0012496606020050.

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ARCE-GUEVARA, V. E., M. O. MENDEZ, J. S. MURGUÍA, A. ALBA, H. GONZÁLEZ-AGUILAR, and E. R. PALACIOS-HERNÁNDEZ. "SCALING ANALYSIS OF THE A-PHASE DYNAMICS DURING SLEEP." Fractals 28, no. 02 (2020): 2050050. http://dx.doi.org/10.1142/s0218348x20500504.

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In this work, the scaling behavior of the sleep process is evaluated by using detrended fluctuation analysis based on wavelets. The analysis is carried out from arrivals of short and recurrent cortical events called A-phases, which in turn build up the Cyclic Alternating Pattern phenomenon, and are classified in three types: A1, A2 and A3. In this study, 61 sleep recordings corresponding to healthy, nocturnal frontal lobe epilepsy patients and sleep-state misperception subjects, were analyzed. From the A-phase annotations, the onsets were extracted and a binary sequence with one second resolut

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Carotenuto, Marco, Michele Roccella, Francesco Pisani, et al. "Polysomnographic Findings in Fragile X Syndrome Children with EEG Abnormalities." Behavioural Neurology 2019 (December 3, 2019): 1–8. http://dx.doi.org/10.1155/2019/5202808.

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Fragile X syndrome (FXS) is a genetic syndrome with intellectual disability due to the loss of expression of the FMR1 gene located on chromosome X (Xq27.3). This mutation can suppress the fragile X mental retardation protein (FMRP) with an impact on synaptic functioning and neuronal plasticity. Among associated sign and symptoms of this genetic condition, sleep disturbances have been already described, but few polysomnographic reports in pediatric age have been reported. This multicenter case-control study is aimed at assessing the sleep macrostructure and at analyzing the presence of EEG abno

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Milman, Noah, Christina Reynolds, Nadir Balba, Yo-El Ju, and Miranda Lim. "0270 EEG Slow Wave Coherence is Related to PSG-Derived Measures of Sleep Fragmentation and Cognition in the WashU BASE Cohort." Sleep 45, Supplement_1 (2022): A122. http://dx.doi.org/10.1093/sleep/zsac079.268.

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Abstract Introduction There exists a bidirectional relationship between sleep disruption and neuropathology in Alzheimer’s disease (AD). Electroencephalogram (EEG) during polysomnography (PSG) provides an opportunity to examine stereotyped, coordinated brain activity. Specifically, slow wave activity (SWA), a defining feature of non-REM sleep, is aberrant in AD, and disruption of SWA in healthy adults is related to increased amyloid-beta levels. Coherence of slow waves across different cortical regions may serve as a metric of brain network coordination, sensitive to earliest AD pathology. We

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Parekh, A. A., K. Kam, A. Mullins, et al. "0090 Stage-Specific Sleep Disruption and its Effect on Spatial Navigational Memory." Sleep 43, Supplement_1 (2020): A36—A37. http://dx.doi.org/10.1093/sleep/zsaa056.088.

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Abstract Introduction The mechanisms by which sleep disruption impact memory may depend on sleep stage, as rapid eye movement (REM) and slow wave sleep (SWS) differ in several significant ways, including degree of neuronal synchrony and frequency of cortical local field potential oscillations. Here we sought to examine the relationship between stage-specific disruption of sleep and its effect on spatial navigational memory. Methods 9 healthy adult subjects participated in this study which involved 3 in-lab polysomnograms (normal, REM-disruption, and SWS-disruption) accompanied by pre- and post

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DANKER-HOPFE, HEIDI, HANS DORN, ACHIM BAHR, PETER ANDERER, and CORNELIA SAUTER. "Effects of electromagnetic fields emitted by mobile phones (GSM 900 and WCDMA/UMTS) on the macrostructure of sleep." Journal of Sleep Research 20, no. 1pt1 (2011): 73–81. http://dx.doi.org/10.1111/j.1365-2869.2010.00850.x.

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Djonlagic, Ina, Mengshuang Guo, Moroke Igue та ін. "052 APOE-ε4 is associated with impaired sleep-dependent memory consolidation in healthy carriers". Sleep 44, Supplement_2 (2021): A22. http://dx.doi.org/10.1093/sleep/zsab072.051.

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Abstract Introduction The Apolipoprotein E (APOE)-ε4 genotype is a marker of susceptibility for late-onset Alzheimer’s disease (AD). Sleep disturbances may accelerate the aging process and increase the risk for future development of cognitive impairment and dementia. Given that the pathophysiological process of AD can predate its clinical manifestations by years or even decades, the aim of this study was to assess the role of the APOε4 allele on sleep-dependent memory consolidation in cognitively healthy adults. Methods 16 healthy APOE-ε4 carriers (mean age=49.9±13.7) and 32 healthy non-carrie

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Danker-Hopfe, H., T. Eggert, G. Schmid, C. Sauter, and H. Dorn. "Effect of pulsed GSM 900 MHz, WCDMA/UMTS and tetra exposure on the macrostructure of sleep: an intra-individual perspective." Sleep Medicine 40 (December 2017): e293-e294. http://dx.doi.org/10.1016/j.sleep.2017.11.861.

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Romigi, A., A. D'Aniello, M. Caccamo, et al. "Effects of epilepsy surgery on sleep macrostructure and microstructure in patients with drug-resistant temporal lobe epilepsy due to hippocampal sclerosis: a prospective controlled polysomnographic study." Sleep Medicine 100 (December 2022): S179. http://dx.doi.org/10.1016/j.sleep.2022.05.481.

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Scarpelli, Serena, Maurizio Gorgoni, Aurora D’Atri, Flaminia Reda, and Luigi De Gennaro. "Advances in Understanding the Relationship between Sleep and Attention Deficit-Hyperactivity Disorder (ADHD)." Journal of Clinical Medicine 8, no. 10 (2019): 1737. http://dx.doi.org/10.3390/jcm8101737.

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Starting from the consolidated relationship between sleep and cognition, we reviewed the available literature on the association between Attention Deficit-Hyperactivity Disorder (ADHD) and sleep. This review analyzes the macrostructural and microstructural sleep features, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria (PRISMA). We included the polysomnographic studies published in the last 15 years. The results of macrostructural parameters are mixed. Almost half of the 18 selected investigations did not find differences between sleep architecture of

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Schirru, A., L. Carnicelli, M. Maestri, et al. "Disruption of sleep-wake continuum in myotonic dystrophy type I: sleep macrostructural and microstructural findings." Sleep Medicine 40 (December 2017): e295. http://dx.doi.org/10.1016/j.sleep.2017.11.866.

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