Human Sleep EEG Analysis Using the Correlation Dimension

Kobayashi, Toshio; Madokoro, Shigeki; Wada, Yuji; Misaki, Kiwamu; Nakagawa, Hiroki

doi:10.1177/155005940103200305

Cited by 27 publications

(12 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because of the animal evidence that the study medicines might have biphasic effects over time on any given biomarker 3,46 and findings suggesting changes in normal human sleep EEG complexity over course of a night, 39 we examined data from the first two REM cycles of the sleep period for both the night of and the night after taking the remedy, controlling for both baseline and placebo nights.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Nonlinear dynamical systems effects of homeopathic remedies on multiscale entropy and correlation dimension of slow wave sleep EEG in young adults with histories of coffee-induced insomnia

Bell¹,

Howerter²,

Jackson³

et al. 2012

Homeopathy

View full text Add to dashboard Cite

Background Investigators of homeopathy have proposed that nonlinear dynamical systems (NDS) and complex systems science offer conceptual and analytic tools for evaluating homeopathic remedy effects. Previous animal studies demonstrate that homeopathic medicines alter delta electroencephalographic (EEG) slow wave sleep. The present study extended findings of remedy-related sleep stage alterations in human subjects by testing the feasibility of using two different NDS analytic approaches to assess remedy effects on human slow wave sleep EEG. Methods Subjects (N=54) were young adult male and female college students with a history of coffee-related insomnia who participated in a larger 4-week study of the polysomnographic effects of homeopathic medicines on home-based all-night sleep recordings. Subjects took one bedtime dose of a homeopathic remedy (Coffea cruda or Nux vomica 30c). We computed multiscale entropy (MSE) and the correlation dimension (Mekler-D2) for stage 3 and 4 slow wave sleep EEG sampled in artifact-free 2-minute segments during the first two rapid-eye-movement (REM) cycles for remedy and post-remedy nights, controlling for placebo and post-placebo night effects. Results MSE results indicate significant, remedy-specific directional effects, especially later in the night (REM cycle 2) (CC: remedy night increases and post-remedy night decreases in MSE at multiple sites for both stages 3 and 4 in both REM cycles; NV: remedy night decreases and post-remedy night increases, mainly in stage 3 REM cycle 2 MSE). D2 analyses yielded more sporadic and inconsistent findings. Conclusions Homeopathic medicines Coffea cruda and Nux vomica in 30c potencies alter short-term nonlinear dynamic parameters of slow wave sleep EEG in healthy young adults. MSE may provide a more sensitive NDS analytic method than D2 for evaluating homeopathic remedy effects on human sleep EEG patterns.

show abstract

Section: Methodsmentioning

confidence: 99%

“…For the analysis, we adapted previously-published NDS methods for computation of both multiscale entropy (MSE) 50–52 and EEG correlation dimension (Mekler method D2). 39,53–55 …”

Section: Introductionmentioning

confidence: 99%

Nonlinear dynamical systems effects of homeopathic remedies on multiscale entropy and correlation dimension of slow wave sleep EEG in young adults with histories of coffee-induced insomnia

Bell¹,

Howerter²,

Jackson³

et al. 2012

Homeopathy

View full text Add to dashboard Cite

show abstract

“…Since EEG signals are often statistically nonstationary, particularly where there is an abnormal event captured over the observation interval, such as an ERP, a TFR technique is the solution to the problem. In general, the most applied non-linear measures found in the literature are attractor dimension [7], correlation dimension [8], Lyapunov exponent [9], fractal dimension [10 -11] and sample entropy [11][12][13]. All these measures depend on the setting of estimation parameters, namely embedding dimension, time delay of phase space reconstruction, prediction time horizon, and partitioning.…”

Section: Introductionmentioning

confidence: 99%

Auditory and Nociceptive Stimuli Responses in the Electroencephalogram

Melia¹,

Vallverdú²,

Clarià³

et al. 2015

Methods Inf Med

View full text Add to dashboard Cite

show abstract

“…Measures such as generalized dimensions and Lyapunov exponents have been used to characterize the static and dynamic properties of the neurophysiological system generating the EEG signal (Fell et al, 1996; Pereda et al, 1999; Kobayashi et al, 2001; Acharya et al, 2005). The differences in features such as irregularity and long range correlations of EEG signals in various sleep stages between healthy people and patients with sleep-disordered breathing are the topic of many publications (Lee et al, 2004; Burioka et al, 2005).…”

Section: A Introductionmentioning

confidence: 99%

Mutual Information Analysis of EEG Signals Indicates Age-Related Changes in Cortical Interdependence During Sleep in Middle-Aged Versus Elderly Women

Ramanand

Bruce

2010

Journal of Clinical Neurophysiology

View full text Add to dashboard Cite

Elderly subjects exhibit declining sleep efficiency parameters with longer time spent awake at night and greater sleep fragmentation. In this paper, we report on the changes in cortical interdependence during sleep stages between 15 middle aged (range: 42-50 years) and 15 elderly (range: 71-86 years) women subjects. Cortical interdependence assessed from EEG signals typically exhibits increasing levels of correlation as human subjects progress from wake to deeper stages of sleep. EEG signals acquired from previously existing polysomnogram data sets were subjected to mutual information (MI) analysis to detect changes in information transmission associated with change in sleep stage and to understand how age affects the interdependence values. We observed a significant reduction in the interdependence between central EEG signals of elderly subjects in NREM and REM stage sleep in comparison to middle-aged subjects (age group effect: elderly vs. middle aged p<0.001, sleep stage effect: p<0.001, interaction effect between age group and sleep stage: p=0.007). A narrow band analysis revealed that the reduction in MI was present in delta, theta and sigma frequencies. These findings suggest that the lowered cortical interdependence in sleep of elderly subjects may indicate independently evolving dynamic neural activities at multiple cortical sites. The loss of synchronization between neural activities during sleep in the elderly may make these women more susceptible to localized disturbances that could lead to frequent arousals.

show abstract

Human Sleep EEG Analysis Using the Correlation Dimension

Cited by 27 publications

References 24 publications

Nonlinear dynamical systems effects of homeopathic remedies on multiscale entropy and correlation dimension of slow wave sleep EEG in young adults with histories of coffee-induced insomnia

Nonlinear dynamical systems effects of homeopathic remedies on multiscale entropy and correlation dimension of slow wave sleep EEG in young adults with histories of coffee-induced insomnia

Auditory and Nociceptive Stimuli Responses in the Electroencephalogram

Mutual Information Analysis of EEG Signals Indicates Age-Related Changes in Cortical Interdependence During Sleep in Middle-Aged Versus Elderly Women

Contact Info

Product

Resources

About