A Robust Method with High Time Resolution for Estimating the Cortico-Thalamo-Cortical Loop Strength and the Delay when Using a Scalp Electroencephalography Applied to the Wake-Sleep Transition

Yamaguchi, Ikuhiro; Kishi, Akifumi; Togo, Fumiharu; Nakamura, Tôru; Yamamoto, Yoshiharu

doi:10.3414/me17-01-0151

Cited by 3 publications

(2 citation statements)

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“…Majority of these models simulate the interaction among excitatory and inhibitory cortical populations and thalamic relay and reticular nuclei involved in generation of the EEG [ 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 ]; some of the models account for cortical dynamics without explicitly incorporating the thalamus [ 96 , 97 ]. Collectively, these models reproduce sleep and wake EEG features and propose mechanisms for how these features are generated at the level of interacting neuronal populations.…”

Section: Brain Areas—mean Field Dynamicsmentioning

confidence: 99%

“…They thus provide a useful tool for testing neurobiological hypotheses, designing tailored experiments and testing effects of lesions or brain stimulation. Another important application of these models is an automatic and continuous tracking of EEG sleep states [ 86 , 93 ]. Traditional sleep staging involves manual scoring of sleep EEG in intervals of 30 s following the guidelines by Rechtschaffen and Kales.…”

Section: Brain Areas—mean Field Dynamicsmentioning

confidence: 99%

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Sleep Modelling across Physiological Levels

Postnova

2019

Clocks & Sleep

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Sleep and circadian rhythms are regulated across multiple functional, spatial and temporal levels: from genes to networks of coupled neurons and glial cells, to large scale brain dynamics and behaviour. The dynamics at each of these levels are complex and the interaction between the levels is even more so, so research have mostly focused on interactions within the levels to understand the underlying mechanisms—the so-called reductionist approach. Mathematical models were developed to test theories of sleep regulation and guide new experiments at each of these levels and have become an integral part of the field. The advantage of modelling, however, is that it allows us to simulate and test the dynamics of complex biological systems and thus provides a tool to investigate the connections between the different levels and study the system as a whole. In this paper I review key models of sleep developed at different physiological levels and discuss the potential for an integrated systems biology approach for sleep regulation across these levels. I also highlight the necessity of building mechanistic connections between models of sleep and circadian rhythms across these levels.

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Section: Brain Areas—mean Field Dynamicsmentioning

confidence: 99%

Section: Brain Areas—mean Field Dynamicsmentioning

confidence: 99%

Sleep Modelling across Physiological Levels

Postnova

2019

Clocks & Sleep

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Advanced Methods for Biosignal Interpretation, Characterization and their Applications

Yana¹,

Yamamoto²,

Nomura³

2018

Methods Inf Med

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Suppression of Macroscopic Oscillations in Mixed Populations of Active and Inactive Oscillators Coupled through Lattice Laplacian

et al. 2019

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We consider suppression of macroscopic synchronized oscillations in mixed populations of active and inactive oscillators with local diffusive coupling, described by a lattice complex Ginzburg-Landau model with discrete Laplacian in general dimensions. Approximate expression for the stability of the non-oscillatory stationary state is derived on the basis of the generalized free energy of the system. We show that an effective wavenumber of the system determined by the spatial arrangement of the active and inactive oscillators is an decisive factor in the suppression, in addition to the ratio of active population to inactive population and relative intensity of each population. The effectiveness of the proposed theory is illustrated with a cortico-thalamic model of epileptic seizures, where active and inactive oscillators correspond to epileptic foci and healthy cerebral cortex tissue, respectively.

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A Robust Method with High Time Resolution for Estimating the Cortico-Thalamo-Cortical Loop Strength and the Delay when Using a Scalp Electroencephalography Applied to the Wake-Sleep Transition

Cited by 3 publications

References 44 publications

Sleep Modelling across Physiological Levels

Sleep Modelling across Physiological Levels

Advanced Methods for Biosignal Interpretation, Characterization and their Applications

Suppression of Macroscopic Oscillations in Mixed Populations of Active and Inactive Oscillators Coupled through Lattice Laplacian

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