A Biased Diffusion Approach to Sleep Dynamics Reveals Neuronal Characteristics.
Journal
Biophysical journal
ISSN: 1542-0086
Titre abrégé: Biophys J
Pays: United States
ID NLM: 0370626
Informations de publication
Date de publication:
03 09 2019
03 09 2019
Historique:
received:
10
04
2019
revised:
20
06
2019
accepted:
19
07
2019
pubmed:
20
8
2019
medline:
10
9
2020
entrez:
20
8
2019
Statut:
ppublish
Résumé
We propose a biased diffusion model of accumulated subthreshold voltage fluctuations in wake-promoting neurons to account for stochasticity in sleep dynamics and to explain the occurrence of brief arousals during sleep. Utilizing this model, we derive four neurophysiological parameters related to neuronal noise level, excitability threshold, deep-sleep threshold, and sleep inertia. We provide the first analytic expressions for these parameters, and we show that there is good agreement between empirical findings from sleep recordings and our model simulation results. Our work suggests that these four parameters can be of clinical importance because we find them to be significantly altered in elderly subjects and in children with autism.
Identifiants
pubmed: 31422824
pii: S0006-3495(19)30621-6
doi: 10.1016/j.bpj.2019.07.032
pmc: PMC6732532
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
987-997Informations de copyright
Copyright © 2019 Biophysical Society. Published by Elsevier Inc. All rights reserved.
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