Literature DB >> 27039097

Scaling exponent values as an ordinary function of the ratio of very low frequency to high frequency powers in heart rate variability over various sleep stages.

Ren-Jing Huang1, Ching-Hsiang Lai2, Shin-Da Lee3,4, Wei-Che Wang5, Ling-Hui Tseng5, Yu-Pin Chen1, Shen-Wen Chang6, Ai-Hui Chung6, Hua Ting7,8,9.   

Abstract

PURPOSE: To assess the physiological meanings of the detrended fluctuation analysis (DFA) slope α and its relationship to spectral measures in heart rate variability, this study investigated changes of α and its corresponding spectral measures over various night-sleep stages.
METHODS: The overall DFA α and natural-logarithm-transformed power values of the spectral parameters ln[high-frequency (HF)], ln[low-frequency (LF)], and ln[very-low-frequency (VLF)], and their relationship from one 5-min proper electrocardiography segment in each of pre-sleep-wakefulness (AWK), non-rapid eye movement stage 2 (N2), slow-wave (N3), the first and the latest rapid-eye movement sleep (REM1, and REM2), were computed in 93 otherwise healthy males (44.1 ± 7.7 years.) with wide-ranged apnea-hypopnea, periodic-limb movement and arousal indices (19.0 ± 20.9, 4.7 ± 9.9, and 10.7 ± 18.2 h, respectively).
RESULTS: While ln(HF) dipped from AWK, N2, and N3 to REM1 then rebounded to the origin level at REM2, ln(VLF) dipped from AWK to N2, N3 trough, and then surged to levels surpassing AWKs and N2s at REM1 and REM2. ln(LF/HF), ln(VLF/HF), and α dipped from AWK and N2 to N3 trough, surged to levels surpassing AWKs, and N2s at REM1 then became attenuated at REM2. By general linear modeling, the relationship between α and the corresponding spectral values can be seen over various stages as α = b 0 + 0.147 × ln(VLF/HF) (R (2) = 0.766), regardless of age and sleep-sympathoexcitatory episodes.
CONCLUSION: The REM sleep attenuations appeared in ln(HF) and its derivatives, such as ln(LF/HF), ln(VLF/HF), and the overall DFA slope α values. The quantitative function of ln(VLF/HF) describes the α values constantly for overnight sleep stages, and it is not affected by age, LF, PLM, and AHI. Our findings therefore suggest that in sleep studies with spectral HRV measures, ln(VLF/HF) as a surrogate of the overall DFA slope α should be calculated at the same time.

Entities:  

Keywords:  Autonomic nervous system; Periodic limb movement; Sleep apnea; Thermoregulation; Vagus nerve

Mesh:

Year:  2016        PMID: 27039097     DOI: 10.1007/s11325-016-1320-5

Source DB:  PubMed          Journal:  Sleep Breath        ISSN: 1520-9512            Impact factor:   2.816


  33 in total

1.  Power spectrum analysis and heart rate variability in Stage 4 and REM sleep: evidence for state-specific changes in autonomic dominance.

Authors: 
Journal:  J Sleep Res       Date:  1993-06       Impact factor: 3.981

2.  Endogenous circadian control of the human autonomic nervous system.

Authors:  M F Hilton; M U Umali; C A Czeisler; J K Wyatt; S A Shea
Journal:  Comput Cardiol       Date:  2000

3.  Aging and nonlinear heart rate control in a healthy population.

Authors:  Frank Beckers; Bart Verheyden; André E Aubert
Journal:  Am J Physiol Heart Circ Physiol       Date:  2005-12-22       Impact factor: 4.733

4.  Thermoregulation and heart rate variability.

Authors:  L A Fleisher; S M Frank; D I Sessler; C Cheng; T Matsukawa; C A Vannier
Journal:  Clin Sci (Lond)       Date:  1996-02       Impact factor: 6.124

5.  Sleep and circadian influences on cardiac autonomic nervous system activity.

Authors:  H J Burgess; J Trinder; Y Kim; D Luke
Journal:  Am J Physiol       Date:  1997-10

6.  A novel pathophysiologic phenomenon in cachexic patients with chronic obstructive pulmonary disease: the relationship between the circadian rhythm of circulating leptin and the very low-frequency component of heart rate variability.

Authors:  N Takabatake; H Nakamura; O Minamihaba; M Inage; S Inoue; S Kagaya; M Yamaki; H Tomoike
Journal:  Am J Respir Crit Care Med       Date:  2001-05       Impact factor: 21.405

7.  Mechanisms underlying very-low-frequency RR-interval oscillations in humans.

Authors:  J A Taylor; D L Carr; C W Myers; D L Eckberg
Journal:  Circulation       Date:  1998-08-11       Impact factor: 29.690

8.  Post- to pre-overnight sleep systolic blood pressures are associated with sleep respiratory disturbance, pro-inflammatory state and metabolic situation in patients with sleep-disordered breathing.

Authors:  Hua Ting; Hsiao-Sui Lo; Shu-Yun Chang; Ai-Hui Chung; Pai-Chuan Kuan; Su-Chuan Yuan; Chien-Ning Huang; Shin-Da Lee
Journal:  Sleep Med       Date:  2008-10-25       Impact factor: 3.492

9.  Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea.

Authors:  Thomas Penzel; Jan W Kantelhardt; Ludger Grote; Jörg-Hermann Peter; Armin Bunde
Journal:  IEEE Trans Biomed Eng       Date:  2003-10       Impact factor: 4.538

10.  Heart rate detrended fluctuation indexes as estimate of obstructive sleep apnea severity.

Authors:  Eduardo Luiz Pereira da Silva; Rafael Pereira; Luciano Neves Reis; Valter Luis Pereira; Luciana Aparecida Campos; Niels Wessel; Ovidiu Constantin Baltatu
Journal:  Medicine (Baltimore)       Date:  2015-01       Impact factor: 1.889

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  2 in total

1.  Bispectral Index Alterations and Associations With Autonomic Changes During Hypnosis in Trauma Center Researchers: Formative Evaluation Study.

Authors:  C Michael Dunham; Amanda J Burger; Barbara M Hileman; Elisha A Chance; Amy E Hutchinson
Journal:  JMIR Form Res       Date:  2021-05-26

2.  Strength of baseline inter-trial correlations forecasts adaptive capacity in the vestibulo-ocular reflex.

Authors:  Kara H Beaton; Aaron L Wong; Steven B Lowen; Mark Shelhamer
Journal:  PLoS One       Date:  2017-04-05       Impact factor: 3.240

  2 in total

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