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Modeling slow-wave activity dynamics: does an exponentially dampened periodic function really fit a single night of normal human sleep?

Publication ,  Journal Article
Preud'homme, XA; Lanquart, J-P; Krystal, AD; Bogaerts, P; Linkowski, P
Published in: Clin Neurophysiol
December 2008

OBJECTIVE: Slow-wave activity (SWA) is believed to be a fundamental measure of sleep homeostasis and is frequently characterized as an exponentially declining periodic dynamical system. The objective of this study is to carry out the first rigorous statistical test of this hypothesized dynamical behavior. METHODS: Delta power (DP) was computed for each epoch and artifacts were visually scored for 18 randomly selected nights from 18 healthy young men. Non-linear least-squares (LS) combined with the simplex algorithm were used to fit a 7-parameter confirmatory model of DP separately for each individual night of data. Individual night testing was employed because the model must apply to individual night data to be of research or clinical utility. RESULTS: Visually, results appeared satisfactory in half of the cases, though the model was never statistically verified. Validation using simulated data suggested that if the exponentially declining sinusoidal model were correct, satisfactory model fit would be expected on 17/18 nights. CONCLUSIONS: An exponentially dampened periodic function does not fit a single night of sleep amongst healthy young men. Historically, averaging across nights was the primary method used to develop such hypothesized model in order to reduce variability in the data. Our validation with simulated data established that this model does not fit individual night data because the data in an individual night do not conform to an exponentially dampened periodic function and not because of variability. SIGNIFICANCE: Further exploratory work is needed to determine how to optimally model single night SWA data.

Duke Scholars

Published In

Clin Neurophysiol

DOI

EISSN

1872-8952

Publication Date

December 2008

Volume

119

Issue

12

Start / End Page

2753 / 2761

Location

Netherlands

Related Subject Headings

  • Young Adult
  • Twin Studies as Topic
  • Time Factors
  • Sleep Deprivation
  • Sleep
  • Random Allocation
  • Polysomnography
  • Nonlinear Dynamics
  • Neurology & Neurosurgery
  • Models, Biological
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Preud’homme, X. A., Lanquart, J.-P., Krystal, A. D., Bogaerts, P., & Linkowski, P. (2008). Modeling slow-wave activity dynamics: does an exponentially dampened periodic function really fit a single night of normal human sleep? Clin Neurophysiol, 119(12), 2753–2761. https://doi.org/10.1016/j.clinph.2008.09.016
Preud’homme, Xavier A., Jean-Pol Lanquart, Andrew D. Krystal, Philippe Bogaerts, and Paul Linkowski. “Modeling slow-wave activity dynamics: does an exponentially dampened periodic function really fit a single night of normal human sleep?Clin Neurophysiol 119, no. 12 (December 2008): 2753–61. https://doi.org/10.1016/j.clinph.2008.09.016.
Preud’homme XA, Lanquart J-P, Krystal AD, Bogaerts P, Linkowski P. Modeling slow-wave activity dynamics: does an exponentially dampened periodic function really fit a single night of normal human sleep? Clin Neurophysiol. 2008 Dec;119(12):2753–61.
Preud’homme, Xavier A., et al. “Modeling slow-wave activity dynamics: does an exponentially dampened periodic function really fit a single night of normal human sleep?Clin Neurophysiol, vol. 119, no. 12, Dec. 2008, pp. 2753–61. Pubmed, doi:10.1016/j.clinph.2008.09.016.
Preud’homme XA, Lanquart J-P, Krystal AD, Bogaerts P, Linkowski P. Modeling slow-wave activity dynamics: does an exponentially dampened periodic function really fit a single night of normal human sleep? Clin Neurophysiol. 2008 Dec;119(12):2753–2761.
Journal cover image

Published In

Clin Neurophysiol

DOI

EISSN

1872-8952

Publication Date

December 2008

Volume

119

Issue

12

Start / End Page

2753 / 2761

Location

Netherlands

Related Subject Headings

  • Young Adult
  • Twin Studies as Topic
  • Time Factors
  • Sleep Deprivation
  • Sleep
  • Random Allocation
  • Polysomnography
  • Nonlinear Dynamics
  • Neurology & Neurosurgery
  • Models, Biological