Literature DB >> 23899859

Loss of sleep spindle frequency deceleration in Obstructive Sleep Apnea.

Diego Z Carvalho1, Günther J L Gerhardt2, Guilherme Dellagustin3, Emerson L de Santa-Helena4, Ney Lemke5, Alan Z Segal6, Suzana V Schönwald3.   

Abstract

OBJECTIVE: Sleep spindles have been suggested as surrogates of thalamo-cortical activity. Internal frequency modulation within a spindle's time frame has been demonstrated in healthy subjects, showing that spindles tend to decelerate their frequency before termination. We investigated internal frequency modulation of slow and fast spindles according to Obstructive Sleep Apnea (OSA) severity and brain topography.
METHODS: Seven non-OSA subjects and 21 patients with OSA contributed with 30min of Non-REM sleep stage 2, subjected to a Matching pursuit procedure with Gabor chirplet functions for automatic detection of sleep spindles and quantification of sleep spindle internal frequency modulation (chirp rate).
RESULTS: Moderate OSA patients showed an inferior percentage of slow spindles with deceleration when compared to Mild and Non-OSA groups in frontal and parietal regions. In parietal regions, the percentage of slow spindles with deceleration was negatively correlated with global apnea-hypopnea index (rs=-0.519, p=0.005). DISCUSSION: Loss of physiological sleep spindle deceleration may either represent a disruption of thalamo-cortical loops generating spindle oscillations or some compensatory mechanism, an interesting venue for future research in the context of cognitive dysfunction in OSA. SIGNIFICANCE: Quantification of internal frequency modulation (chirp rate) is proposed as a promising approach to advance description of sleep spindle dynamics in brain pathology.
Copyright © 2013 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Chirp; EEG; Matching pursuit; OSA; Sleep; Spindle

Mesh:

Year:  2013        PMID: 23899859     DOI: 10.1016/j.clinph.2013.07.005

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  15 in total

Review 1.  Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severity.

Authors:  Diego R Mazzotti; Diane C Lim; Kate Sutherland; Lia Bittencourt; Jesse W Mindel; Ulysses Magalang; Allan I Pack; Philip de Chazal; Thomas Penzel
Journal:  Physiol Meas       Date:  2018-09-13       Impact factor: 2.833

Review 2.  Obstructive Sleep Apnea and the Risk of Cognitive Decline in Older Adults.

Authors:  Nadia Gosselin; Andrée-Ann Baril; Ricardo S Osorio; Marta Kaminska; Julie Carrier
Journal:  Am J Respir Crit Care Med       Date:  2019-01-15       Impact factor: 21.405

3.  Association of sleep spindle activity and sleepiness in children with sleep-disordered breathing.

Authors:  Pablo E Brockmann; Raffaele Ferri; Oliviero Bruni
Journal:  J Clin Sleep Med       Date:  2020-04-15       Impact factor: 4.062

4.  Thalamic altered spontaneous activity and connectivity in obstructive sleep apnea syndrome.

Authors:  Emiliano Santarnecchi; Giulia Sprugnoli; Isabella Sicilia; Juergen Dukart; Francesco Neri; Sara M Romanella; Alfonso Cerase; Giampaolo Vatti; Raffaele Rocchi; Alessandro Rossi
Journal:  J Neuroimaging       Date:  2021-12-28       Impact factor: 2.324

Review 5.  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

Review 6.  Spindle Oscillations in Sleep Disorders: A Systematic Review.

Authors:  Oren M Weiner; Thien Thanh Dang-Vu
Journal:  Neural Plast       Date:  2016-03-10       Impact factor: 3.599

7.  Age-Dependent Increase of Absence Seizures and Intrinsic Frequency Dynamics of Sleep Spindles in Rats.

Authors:  Evgenia Sitnikova; Alexander E Hramov; Vadim Grubov; Alexey A Koronovsky
Journal:  Neurosci J       Date:  2014-06-23

8.  Automated detection of sleep spindles in the scalp EEG and estimation of their intracranial current sources: comments on techniques and on related experimental and clinical studies.

Authors:  Periklis Y Ktonas; Errikos-Chaim Ventouras
Journal:  Front Hum Neurosci       Date:  2014-12-10       Impact factor: 3.169

9.  Sleep EEG Characteristics in Young and Elderly Patients with Obstructive Sleep Apnea Syndrome.

Authors:  Yu Jin Lee; Jong Won Kim; Yu-Jin G Lee; Do-Un Jeong
Journal:  Psychiatry Investig       Date:  2016-03-23       Impact factor: 2.505

Review 10.  Obstructive Sleep Apnea and Cognitive Decline: A Review of Potential Vulnerability and Protective Factors.

Authors:  Julie Legault; Cynthia Thompson; Marie-Ève Martineau-Dussault; Claire André; Andrée-Ann Baril; Guillermo Martinez Villar; Julie Carrier; Nadia Gosselin
Journal:  Brain Sci       Date:  2021-05-27
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