Literature DB >> 21893531

Quantitative modelling of sleep dynamics.

P A Robinson1, A J K Phillips, B D Fulcher, M Puckeridge, J A Roberts.   

Abstract

Arousal is largely controlled by the ascending arousal system of the hypothalamus and brainstem, which projects to the corticothalamic system responsible for electroencephalographic (EEG) signatures of sleep. Quantitative physiologically based modelling of brainstem dynamics theory is described here, using realistic parameters, and links to EEG are outlined. Verification against a wide range of experimental data is described, including arousal dynamics under normal conditions, sleep deprivation, stimuli, stimulants and jetlag, plus key features of wake and sleep EEGs.

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Year:  2011        PMID: 21893531     DOI: 10.1098/rsta.2011.0120

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  16 in total

1.  Switching mechanisms and bout times in a pair of reciprocally inhibitory neurons.

Authors:  Mainak Patel; Badal Joshi
Journal:  J Comput Neurosci       Date:  2013-07-03       Impact factor: 1.621

Review 2.  Mathematical modeling of circadian rhythms.

Authors:  Ameneh Asgari-Targhi; Elizabeth B Klerman
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2018-10-17

3.  Modeling resting-state functional networks when the cortex falls asleep: local and global changes.

Authors:  Gustavo Deco; Patric Hagmann; Anthony G Hudetz; Giulio Tononi
Journal:  Cereb Cortex       Date:  2013-07-10       Impact factor: 5.357

4.  Towards a model-based integration of co-registered electroencephalography/functional magnetic resonance imaging data with realistic neural population meshes.

Authors:  I Bojak; Thom F Oostendorp; Andrew T Reid; Rolf Kötter
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-10-13       Impact factor: 4.226

5.  An electrophysiological marker of arousal level in humans.

Authors:  Janna D Lendner; Randolph F Helfrich; Bryce A Mander; Luis Romundstad; Jack J Lin; Matthew P Walker; Pal G Larsson; Robert T Knight
Journal:  Elife       Date:  2020-07-28       Impact factor: 8.713

6.  Sleep-wake evaluation from whole-night non-contact audio recordings of breathing sounds.

Authors:  Eliran Dafna; Ariel Tarasiuk; Yaniv Zigel
Journal:  PLoS One       Date:  2015-02-24       Impact factor: 3.240

7.  Engineering a thalamo-cortico-thalamic circuit on SpiNNaker: a preliminary study toward modeling sleep and wakefulness.

Authors:  Basabdatta S Bhattacharya; Cameron Patterson; Francesco Galluppi; Simon J Durrant; Steve Furber
Journal:  Front Neural Circuits       Date:  2014-05-20       Impact factor: 3.492

8.  Mammalian rest/activity patterns explained by physiologically based modeling.

Authors:  A J K Phillips; B D Fulcher; P A Robinson; E B Klerman
Journal:  PLoS Comput Biol       Date:  2013-09-05       Impact factor: 4.475

9.  Implementing the cellular mechanisms of synaptic transmission in a neural mass model of the thalamo-cortical circuitry.

Authors:  Basabdatta S Bhattacharya
Journal:  Front Comput Neurosci       Date:  2013-07-04       Impact factor: 2.380

10.  Coupled flip-flop model for REM sleep regulation in the rat.

Authors:  Justin R Dunmyre; George A Mashour; Victoria Booth
Journal:  PLoS One       Date:  2014-04-10       Impact factor: 3.240

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