Sleep Modelling across Physiological Levels.

EEG behaviour circadian clocks mathematical modelling mean field molecular mechanisms multi-scale neurons sleep systems biology

Journal

Clocks & sleep
ISSN: 2624-5175
Titre abrégé: Clocks Sleep
Pays: Switzerland
ID NLM: 101736579

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 20 12 2018
accepted: 25 02 2019
entrez: 22 10 2020
pubmed: 4 3 2019
medline: 4 3 2019
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33089162
doi: 10.3390/clockssleep1010015
pii: clockssleep-01-00015
pmc: PMC7509680
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

166-184

Informations de copyright

© 2019 by the author.

Déclaration de conflit d'intérêts

Conflicts of InterestS.P. declares no conflict of interest. In the interest of full disclosure: S.P. is a theme leader at the Cooperative Research Centre for Alertness, Safety and Productivity and collaborates with Qantas on Passenger Wellbeing project. None of these activities are related to this review.

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Auteurs

Svetlana Postnova (S)

School of Physics, University of Sydney, Sydney 2006, NSW, Australia; svetlana.postnova@sydney.edu.au.
Center of Excellence for Integrative Brain Function, University of Sydney, Sydney 2006, NSW, Australia.
Charles Perkins Center, University of Sydney, Sydney 2006, NSW, Australia.

Classifications MeSH