Relevant bibliographies by topics / Sleep macrostructure

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  1. Journal articles

Academic literature on the topic 'Sleep macrostructure'

Author: Grafiati
Published: 17 November 2023

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Journal articles on the topic "Sleep macrostructure"

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 occasions. Before sleep, dogs were exposed to emotionally positive or negative social interactions (PSI or NSI) in a within-subject design. PSI consisted of petting and ball play, while NSI was a mixture of separation, threatening approach and still face test. Sleep macrostructure was markedly different between pre-treatment conditions, with a shorter sleep latency after NSI and a redistribution of the time spent in the different sleep stages. Dogs' behaviour during pre-treatments was related to the macrostructural difference between the two occasions, and was further modulated by individual variability in personality. This result provides the first direct evidence that emotional stimuli affect subsequent sleep physiology in dogs.
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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 recorded using polysomnography (PSG), during a full night of sleep, and after recovery sleep occurring after extended wakefulness. Sleep duration, macrostructure and microstructure (sleep oscillatory pattern and slow waves) were investigated using machine learning-based algorithms. Results Sleep duration did not differ across the diets, based on actigraphy and the in-lab PSG. Sleep macrostructure was similar after one week on each diet. Compared with the healthy diet, the Western diet resulted in reduced delta power and slow-wave amplitude, but increased alpha and theta power, during NREM sleep. Furthermore, the Western diet also impacted the sleep oscillatory pattern in a similar direction during the recovery sleep. Conclusion Short-term consumption of an unhealthy, Western diet modulates restorative properties of sleep, and these changes persisted even into recovery sleep. Whether such changes can mediate adverse health outcomes of an unhealthy diet warrants further investigation. Support (if any) This work was supported by the Swedish Society for Medical Research (SSMF), the Swedish Research Council, and the following foundations: Diabetesfonden (2019-489), Diabetes Wellness Sverige (25-2231), Familjen Ernfors, Göran Gustafsson (2019-1941), Selander, the Swedish Cancer Foundation (19 0269 Pj); the Swedish Brain Foundation (FO2022-0704). The study sponsor/funding agencies were not involved in the design of the study; the collection, analysis, and interpretation of data; writing the report; and did not impose any restrictions regarding the publication of the report.
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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 increase in the total recording time (p = 0.04) and the group with idiopathic generalized epilepsy had a reduction of phase 4 NREM sleep. The efficiency of total sleep period and of total sleep time was also lower in the group with idiopathic generalized epilepsy (p = 0.03 in both cases). We concluded that the group with idiopathic generalized epilepsy presents sleep of poorer quality, whereas the group with idiopathic focal epilepsy presents a tendency toward an excessive somnolence.
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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 International Classification of Sleep Disorders 3rd ed. (2014). Processing was carried out using descriptive statistics, as well as non-parametric analysis for comparison between cases and controls. The group of patients showed significant reductions of the N2, N3, and REM sleep stages when compared with a control group, as well as a significant increase in intra-sleep wakefulness. The number of REM–NoREM sleep cycles and sleep efficiency showed marked reduction compared to the control group. There was a statistically significant difference in the macroarchitecture of sleep between patients diagnosed with Parkinson’s disease and healthy controls.
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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 42 children (26M/16F; mean age 10.12 ± 1.98) selected as a DCD group compared with 79 children (49M/30F; mean age 9.94 ± 2.84) identified as typical (no-DCD) for motor ability and sleep macrostructural parameters according to the MABC-2 and polysomnographic (PSG) evaluations. The two groups (DCD and non-DCD) were similar for age (p = 0.715) and gender (p = 0.854). More significant differences in sleep architecture and CAP parameters were found between two groups and significant correlations were identified between sleep parameters and motor coordination skills in the study population. In conclusion, our data show relevant abnormalities in sleep structure of DCD children and suggest a role for rapid components of A phases on motor coordination development
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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) stage.
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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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