Literature DB >> 19590434

Sample entropy tracks changes in electroencephalogram power spectrum with sleep state and aging.

Eugene N Bruce1, Margaret C Bruce, Swetha Vennelaganti.   

Abstract

The regularity of electroencephalogram signals was compared between middle-aged (47.2 +/- 2.0 years) and elderly (78.4 +/- 3.8 years) female subjects in wake, nonrapid eye movement stages 2 and 3 (S-2, S-3), and rapid eye movement sleep. Signals from C3A2 leads of healthy subjects, acquired from polysomnograms obtained from the Sleep Heart Health Study, were analyzed using both sample entropy (SaEn) and power spectral analysis (delta, theta, alpha, and beta frequency band powers). SaEn changed systematically and significantly (P < 0.001) with sleep state in both age groups, following the relationships wake > rapid eye movement > S-2 > S-3. SaEn was found to be negatively correlated with delta power and positively correlated with beta power. Small changes in SaEn seem to reflect changes in spectral content rather than changes in regularity of the signal. A better predictor of SaEn than the frequency band powers was the logarithm of the power ratio (alpha + beta)/(delta + theta). Thus, SaEn seems to reflect the balance between sleep-promoting and alertness-promoting mechanisms. SaEn of the elderly was larger than that of middle-aged subjects in S-2 (P = 0.029) and rapid eye movement (P = 0.001), suggesting that cortical state is shifted toward alertness in elderly subjects in these sleep states compared with the middle-aged subjects.

Entities:  

Mesh:

Year:  2009        PMID: 19590434      PMCID: PMC2736605          DOI: 10.1097/WNP.0b013e3181b2f1e3

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


  56 in total

1.  Approximate entropy as a measure of system complexity.

Authors:  S M Pincus
Journal:  Proc Natl Acad Sci U S A       Date:  1991-03-15       Impact factor: 11.205

2.  Removal of ocular artifacts from electro-encephalogram by adaptive filtering.

Authors:  P He; G Wilson; C Russell
Journal:  Med Biol Eng Comput       Date:  2004-05       Impact factor: 2.602

3.  The calculation of the first positive Lyapunov exponent in sleep EEG data.

Authors:  J Röschke; J Fell; P Beckmann
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1993-05

4.  Entropy maps characterize drug effects on brain dynamics in Alzheimer's disease.

Authors:  L Pezard; J Martinerie; F J Varela; F Bouchet; D Guez; C Derouesné; B Renault
Journal:  Neurosci Lett       Date:  1998-08-28       Impact factor: 3.046

5.  Non-linear behaviour of human EEG: fractal exponent versus correlation dimension in awake and sleep stages.

Authors:  E Pereda; A Gamundi; R Rial; J González
Journal:  Neurosci Lett       Date:  1998-07-03       Impact factor: 3.046

6.  Physiological time-series analysis: what does regularity quantify?

Authors:  S M Pincus; A L Goldberger
Journal:  Am J Physiol       Date:  1994-04

7.  FFT analysis of EEG during stage 2-to-REM transitions in narcoleptic patients and normal sleepers.

Authors:  K Hadjiyannakis; R D Ogilvie; C E Alloway; C Shapiro
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1997-11

8.  Analysis of regularity in the EEG background activity of Alzheimer's disease patients with Approximate Entropy.

Authors:  Daniel Abásolo; Roberto Hornero; Pedro Espino; Jesús Poza; Clara I Sánchez; Ramón de la Rosa
Journal:  Clin Neurophysiol       Date:  2005-08       Impact factor: 3.708

9.  Entropy analysis of the EEG background activity in Alzheimer's disease patients.

Authors:  D Abásolo; R Hornero; P Espino; D Alvarez; J Poza
Journal:  Physiol Meas       Date:  2006-01-13       Impact factor: 2.833

10.  Approximate entropy of human respiratory movement during eye-closed waking and different sleep stages.

Authors:  Naoto Burioka; Germaine Cornélissen; Franz Halberg; Daniel T Kaplan; Hisashi Suyama; Takanori Sako; Eiji Shimizu
Journal:  Chest       Date:  2003-01       Impact factor: 9.410

View more
  28 in total

1.  Transient decoupling of cortical EEGs following arousals during NREM sleep in middle-aged and elderly women.

Authors:  Pravitha Ramanand; Margaret C Bruce; Eugene N Bruce
Journal:  Int J Psychophysiol       Date:  2010-05-05       Impact factor: 2.997

2.  Analysis of the sleep EEG in the complexity domain.

Authors:  Sara Mariani; Ana F T Borges; Teresa Henriques; Robert J Thomas; Samuel J Leistedt; Paul Linkowski; Jean-Pol Lanquart; Ary L Goldberger; Madalena D Costa
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

3.  Development of the National Healthy Sleep Awareness Project Sleep Health Surveillance Questions.

Authors:  Timothy I Morgenthaler; Janet B Croft; Leslie C Dort; Lauren D Loeding; Janet M Mullington; Sherene M Thomas
Journal:  J Clin Sleep Med       Date:  2015-09-15       Impact factor: 4.062

4.  Changes in EEG multiscale entropy and power-law frequency scaling during the human sleep cycle.

Authors:  Vladimir Miskovic; Kevin J MacDonald; L Jack Rhodes; Kimberly A Cote
Journal:  Hum Brain Mapp       Date:  2018-09-26       Impact factor: 5.038

5.  Spectral and Entropic Features Are Altered by Age in the Electroencephalogram in Patients under Sevoflurane Anesthesia.

Authors:  Matthias Kreuzer; Matthew A Stern; Darren Hight; Sebastian Berger; Gerhard Schneider; James W Sleigh; Paul S García
Journal:  Anesthesiology       Date:  2020-05       Impact factor: 7.892

6.  Reliability of the American Academy of Sleep Medicine Rules for Assessing Sleep Depth in Clinical Practice.

Authors:  Magdy Younes; Samuel T Kuna; Allan I Pack; James K Walsh; Clete A Kushida; Bethany Staley; Grace W Pien
Journal:  J Clin Sleep Med       Date:  2018-02-15       Impact factor: 4.062

7.  Estimation of Heterogeneity in Diagnostic Parameters of Age-related Diseases.

Authors:  David Blokh; Ilia Stambler
Journal:  Aging Dis       Date:  2014-02-10       Impact factor: 6.745

8.  Progressive changes in cortical state before and after spontaneous arousals from sleep in elderly and middle-aged women.

Authors:  E N Bruce; M C Bruce; P Ramanand; D Hayes
Journal:  Neuroscience       Date:  2010-11-27       Impact factor: 3.590

9.  Negative childhood experiences alter a prefrontal-insular-motor cortical network in healthy adults: A preliminary multimodal rsfMRI-fMRI-MRS-dMRI study.

Authors:  Niall W Duncan; Dave J Hayes; Christine Wiebking; Brice Tiret; Karin Pietruska; David Q Chen; Pierre Rainville; Małgorzata Marjańska; Omar Ayad; Julien Doyon; Mojgan Hodaie; Georg Northoff
Journal:  Hum Brain Mapp       Date:  2015-08-19       Impact factor: 5.038

10.  Subthalamic neural entropy is a feature of freezing of gait in freely moving people with Parkinson's disease.

Authors:  Judy Syrkin-Nikolau; Mandy Miller Koop; Thomas Prieto; Chioma Anidi; Muhammad Furqan Afzal; Anca Velisar; Zack Blumenfeld; Talora Martin; Megan Trager; Helen Bronte-Stewart
Journal:  Neurobiol Dis       Date:  2017-09-07       Impact factor: 5.996

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.