Physiologically based arousal state estimation and dynamics

doi:10.1016/j.jneumeth.2015.06.002

. 2015 Sep 30:253:55-69.

doi: 10.1016/j.jneumeth.2015.06.002. Epub 2015 Jun 11.

Physiologically based arousal state estimation and dynamics

R G Abeysuriya¹, C J Rennie², P A Robinson³

Affiliations

¹ School of Physics, University of Sydney, NSW 2006, Australia; Neurosleep, 431 Glebe Point Road, Glebe, NSW 2037, Australia; Cooperative Research Center for Alertness, Safety, and Productivity, University of Sydney, NSW 2006, Australia; Center for Integrated Research and Understanding of Sleep, Glebe, NSW 2037, Australia; Brain Dynamics Center, Sydney Medical School - Western, University of Sydney, Westmead, NSW 2145, Australia. Electronic address: r.abeysuriya@physics.usyd.edu.au.
² School of Physics, University of Sydney, NSW 2006, Australia; Brain Dynamics Center, Sydney Medical School - Western, University of Sydney, Westmead, NSW 2145, Australia.
³ School of Physics, University of Sydney, NSW 2006, Australia; Neurosleep, 431 Glebe Point Road, Glebe, NSW 2037, Australia; Cooperative Research Center for Alertness, Safety, and Productivity, University of Sydney, NSW 2006, Australia; Center for Integrated Research and Understanding of Sleep, Glebe, NSW 2037, Australia; Brain Dynamics Center, Sydney Medical School - Western, University of Sydney, Westmead, NSW 2145, Australia; Center for Integrative Brain Function, University of Sydney, NSW 2006, Australia.

PMID: 26072247
DOI: 10.1016/j.jneumeth.2015.06.002

Physiologically based arousal state estimation and dynamics

R G Abeysuriya et al. J Neurosci Methods. 2015.

. 2015 Sep 30:253:55-69.

doi: 10.1016/j.jneumeth.2015.06.002. Epub 2015 Jun 11.

Authors

R G Abeysuriya¹, C J Rennie², P A Robinson³

Affiliations

¹ School of Physics, University of Sydney, NSW 2006, Australia; Neurosleep, 431 Glebe Point Road, Glebe, NSW 2037, Australia; Cooperative Research Center for Alertness, Safety, and Productivity, University of Sydney, NSW 2006, Australia; Center for Integrated Research and Understanding of Sleep, Glebe, NSW 2037, Australia; Brain Dynamics Center, Sydney Medical School - Western, University of Sydney, Westmead, NSW 2145, Australia. Electronic address: r.abeysuriya@physics.usyd.edu.au.
² School of Physics, University of Sydney, NSW 2006, Australia; Brain Dynamics Center, Sydney Medical School - Western, University of Sydney, Westmead, NSW 2145, Australia.
³ School of Physics, University of Sydney, NSW 2006, Australia; Neurosleep, 431 Glebe Point Road, Glebe, NSW 2037, Australia; Cooperative Research Center for Alertness, Safety, and Productivity, University of Sydney, NSW 2006, Australia; Center for Integrated Research and Understanding of Sleep, Glebe, NSW 2037, Australia; Brain Dynamics Center, Sydney Medical School - Western, University of Sydney, Westmead, NSW 2145, Australia; Center for Integrative Brain Function, University of Sydney, NSW 2006, Australia.

PMID: 26072247
DOI: 10.1016/j.jneumeth.2015.06.002

Abstract

A neural field model of the brain is used to represent brain states using physiologically based parameters rather than arbitrary, discrete sleep stages. Each brain state is represented as a point in a physiologically parametrized space. Over time, changes in brain state cause these points to trace continuous trajectories, unlike the artificial discrete jumps in sleep stage that occur with traditional sleep staging. The discrete Rechtschaffen and Kales sleep stages are associated with regions in the physiological parameter space based on their electroencephalographic features, which enables interpretation of traditional sleep stages in terms of physiological trajectories. Wake states are found to be associated with strong positive corticothalamic feedback compared to sleep. The existence of physiologically valid trajectories between brain states in the model is demonstrated. Actual trajectories for an individual can be determined by fitting the model using EEG alone, and enable analysis of the physiological differences between subjects.

Keywords: EEG; Modeling; Neural field theory; Neurophysiology; Sleep.

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Physiologically based arousal state estimation and dynamics

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Physiologically based arousal state estimation and dynamics

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