Literature DB >> 8849969

Polysomnographic analysis of arousal responses in obstructive sleep apnea syndrome by means of the cyclic alternating pattern.

M G Terzano1, L Parrino, M Boselli, M C Spaggiari, G Di Giovanni.   

Abstract

Obstructive sleep apnea syndrome (OSAS) is characterized by multiple interruptions of airflow between periods of arousals. A key feature of OSAS is the 20- to 40-s cyclic pattern of electrophysiologic parameters. The periodicity of the OSAS-related phenomena is reminiscent of the natural electroencephalographic (EEG) arousal rhythm of non-rapid eye movement (NREM) sleep known as the cyclic alternating pattern (CAP). Morphologically, CAP consists of transient arousals (phase A) that periodically interrupt the tonic theta/delta activities of NREM sleep (phase B). Functionally, CAP translates a condition of sustained arousal instability oscillating between a greater arousal level (phase A) and a lesser arousal level (phase B). CAP is also related to the controls of the motor and autonomic mechanisms. On the basis of the information simultaneously derived from EEG activities, muscle tone, and neurovegetative responses, it is possible to distinguish three subtypes of A phases corresponding to different levels of arousal power: A1 (dominated by EEG synchronization and weak activation of polygraphic variables); A2 (mixture of EEG synchronization/desynchronization and intermediate activation of polygraphic variables); and A3 (dominated by EEG desynchronization and strong activation of polygraphic variables). Unlike standard criteria, CAP parameters offer a more suitable perspective for evaluating sleep pathologies in which brief and frequent arousals appear as a prominent feature. The present study aimed at (a) assessing CAP parameters in OSAS patients and (b) investigating the reciprocal interactions between CAP and the cyclic variations in respiratory rate. Twelve obese middle-aged OSAS subjects complaining of daytime sleepiness were polygraphically compared with age-matched and gender-matched volunteers in good health and with no complaints about sleep and wakefulness (controls). In OSAS patients, conventional parameters showed predictable decrements in total sleep time, slow wave sleep, and REM sleep and increases in stage 1 and nocturnal awakenings. Sleep fragmentation was associated with a significant enhancement of CAP and of the A phases with longer and more desynchronized EEG patterns (especially A3). The increase of A3 subtypes permitted scoring and detecting CAP also in REM sleep. The great majority of respiratory pauses (96% in NREM and 80% in REM sleep) were coupled with CAP. All CAP-related respiratory events rose in close temporal connection with a phase B, while effective breathing was always recovered during phase A (especially A2 and A3 subtypes). These data suggest that (a) phase B of CAP offers a vulnerable background for upper airway collapse and for attenuation of biochemical and neural mechanisms in the control of the ventilatory drive and (b) survival in OSAS patients is effected by the enhancement of the strongest components of the natural arousal rhythm at sleep quality's expense.

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Year:  1996        PMID: 8849969     DOI: 10.1097/00004691-199603000-00005

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  19 in total

1.  Automatic analysis of electro-encephalogram sleep spindle frequency throughout the night.

Authors:  E Huupponen; S L Himanen; J Hasan; A Värri
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2.  Efficient automatic classifiers for the detection of A phases of the cyclic alternating pattern in sleep.

Authors:  Sara Mariani; Elena Manfredini; Valentina Rosso; Andrea Grassi; Martin O Mendez; Alfonso Alba; Matteo Matteucci; Liborio Parrino; Mario G Terzano; Sergio Cerutti; Anna M Bianchi
Journal:  Med Biol Eng Comput       Date:  2012-03-20       Impact factor: 2.602

3.  Analysis of A-phase transitions during the cyclic alternating pattern under normal sleep.

Authors:  Martin Oswaldo Mendez; Ioanna Chouvarda; Alfonso Alba; Anna Maria Bianchi; Andrea Grassi; Edgar Arce-Santana; Guilia Milioli; Mario Giovanni Terzano; Liborio Parrino
Journal:  Med Biol Eng Comput       Date:  2015-08-08       Impact factor: 2.602

4.  Improved computational fronto-central sleep depth parameters show differences between apnea patients and control subjects.

Authors:  E Huupponen; T Saunamäki; A Saastamoinen; A Kulkas; M Tenhunen; S-L Himanen
Journal:  Med Biol Eng Comput       Date:  2008-08-05       Impact factor: 2.602

Review 5.  Polysomnographic effects of hypnotic drugs. A review.

Authors:  L Parrino; M G Terzano
Journal:  Psychopharmacology (Berl)       Date:  1996-07       Impact factor: 4.530

6.  Anteroposterior difference in EEG sleep depth measure is reduced in apnea patients.

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Journal:  J Med Syst       Date:  2005-10       Impact factor: 4.460

7.  Characterization of cyclic alternating pattern during sleep in older men and women using large population studies.

Authors:  Simon Hartmann; Oliviero Bruni; Raffaele Ferri; Susan Redline; Mathias Baumert
Journal:  Sleep       Date:  2020-07-13       Impact factor: 5.849

Review 8.  Obstructive Sleep Apnea and Its Treatment in Aging: Effects on Alzheimer's disease Biomarkers, Cognition, Brain Structure and Neurophysiology.

Authors:  Anna E Mullins; Korey Kam; Ankit Parekh; Omonigho M Bubu; Ricardo S Osorio; Andrew W Varga
Journal:  Neurobiol Dis       Date:  2020-08-27       Impact factor: 5.996

9.  Development of NREM sleep instability-continuity (cyclic alternating pattern) in healthy term infants aged 1 to 4 months.

Authors:  Silvia Miano; Maria PiaVilla; Dora Blanco; Elena Zamora; Rosa Rodriguez; Raffaele Ferri; Oliviero Bruni; Rosa Peraita-Adrados
Journal:  Sleep       Date:  2009-01       Impact factor: 5.849

10.  An electrocardiogram-based analysis evaluating sleep quality in patients with obstructive sleep apnea.

Authors:  John Harrington; Preetam J Schramm; Charles R Davies; Teofilo L Lee-Chiong
Journal:  Sleep Breath       Date:  2013-01-25       Impact factor: 2.816

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