Literature DB >> 14592327

Spindle frequency remains slow in sleep apnea patients throughout the night.

Sari-Leena Himanen1, Jussi Virkkala, Eero Huupponen, Joel Hasan.   

Abstract

BACKGROUND: Our previous data suggested that in normal sleep the frequency of individual sleep spindles would be related to sleep depth and possibly to sleep pressure. Thus far spindle frequency patterns in patients with sleep disorders have not been studied. It would be expected that the spindle frequencies might be affected by sleep fragmentation disturbing the sleep process.
METHODS: Twelve apnea patients with age- and sex-matched control subjects were studied with whole-night sleep recordings. Sleep spindles were visually selected and their frequency was determined by spectral analysis.
RESULTS: Sleep spindles of the patients were in general slower than in the control subjects. As in our previous study, the frequency of the spindles in the middle-part of the non-rapid eye movement (NREM) sleep episodes increased towards the end of the night in the control group, whereas in the patient group no such increase was found.
CONCLUSIONS: The slow spindle frequencies in apnea patients could indicate disturbed sleep and altered neural mechanisms in the structures regulating sleep spindle activity.

Entities:  

Mesh:

Year:  2003        PMID: 14592327     DOI: 10.1016/s1389-9457(02)00239-3

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  11 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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3.  Structural brain correlates of human sleep oscillations.

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6.  CPAP Treatment Partly Normalizes Sleep Spindle Features in Obstructive Sleep Apnea.

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Review 7.  Is Sleep Disruption a Cause or Consequence of Alzheimer's Disease? Reviewing Its Possible Role as a Biomarker.

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8.  Estimation of Time-Varying Spectral Peaks and Decomposition of EEG Spectrograms.

Authors:  Patrick A Stokes; Michael J Prerau
Journal:  IEEE Access       Date:  2020-12-04       Impact factor: 3.367

9.  Spectral Power Analysis of Sleep Electroencephalography in Subjects with Different Severities of Obstructive Sleep Apnea and Healthy Controls.

Authors:  Jae Myeong Kang; Seo-Eun Cho; Kyoung-Sae Na; Seung-Gul Kang
Journal:  Nat Sci Sleep       Date:  2021-04-01

10.  Abnormal coherence and sleep composition in children with Angelman syndrome: a retrospective EEG study.

Authors:  Hanna den Bakker; Michael S Sidorov; Zheng Fan; David J Lee; Lynne M Bird; Catherine J Chu; Benjamin D Philpot
Journal:  Mol Autism       Date:  2018-04-27       Impact factor: 7.509

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