A mathematical model towards understanding the mechanism of neuronal regulation of wake-NREMS-REMS states.

In this study we have constructed a mathematical model of a recently proposed functional model known to be responsible for inducing waking, NREMS and REMS. Simulation studies using this model reproduced sleep-wake patterns as reported in normal animals. The model helps to explain neural mechanism(s)...

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Main Authors: Rupesh Kumar, Amitabha Bose, Birendra Nath Mallick
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3414531?pdf=render
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spelling doaj-423b6715e303454f9bb65281589cfc532020-11-25T02:16:51ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0178e4205910.1371/journal.pone.0042059A mathematical model towards understanding the mechanism of neuronal regulation of wake-NREMS-REMS states.Rupesh KumarAmitabha BoseBirendra Nath MallickIn this study we have constructed a mathematical model of a recently proposed functional model known to be responsible for inducing waking, NREMS and REMS. Simulation studies using this model reproduced sleep-wake patterns as reported in normal animals. The model helps to explain neural mechanism(s) that underlie the transitions between wake, NREMS and REMS as well as how both the homeostatic sleep-drive and the circadian rhythm shape the duration of each of these episodes. In particular, this mathematical model demonstrates and confirms that an underlying mechanism for REMS generation is pre-synaptic inhibition from substantia nigra onto the REM-off terminals that project on REM-on neurons, as has been recently proposed. The importance of orexinergic neurons in stabilizing the wake-sleep cycle is demonstrated by showing how even small changes in inputs to or from those neurons can have a large impact on the ensuing dynamics. The results from this model allow us to make predictions of the neural mechanisms of regulation and patho-physiology of REMS.http://europepmc.org/articles/PMC3414531?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Rupesh Kumar
Amitabha Bose
Birendra Nath Mallick
spellingShingle Rupesh Kumar
Amitabha Bose
Birendra Nath Mallick
A mathematical model towards understanding the mechanism of neuronal regulation of wake-NREMS-REMS states.
PLoS ONE
author_facet Rupesh Kumar
Amitabha Bose
Birendra Nath Mallick
author_sort Rupesh Kumar
title A mathematical model towards understanding the mechanism of neuronal regulation of wake-NREMS-REMS states.
title_short A mathematical model towards understanding the mechanism of neuronal regulation of wake-NREMS-REMS states.
title_full A mathematical model towards understanding the mechanism of neuronal regulation of wake-NREMS-REMS states.
title_fullStr A mathematical model towards understanding the mechanism of neuronal regulation of wake-NREMS-REMS states.
title_full_unstemmed A mathematical model towards understanding the mechanism of neuronal regulation of wake-NREMS-REMS states.
title_sort mathematical model towards understanding the mechanism of neuronal regulation of wake-nrems-rems states.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description In this study we have constructed a mathematical model of a recently proposed functional model known to be responsible for inducing waking, NREMS and REMS. Simulation studies using this model reproduced sleep-wake patterns as reported in normal animals. The model helps to explain neural mechanism(s) that underlie the transitions between wake, NREMS and REMS as well as how both the homeostatic sleep-drive and the circadian rhythm shape the duration of each of these episodes. In particular, this mathematical model demonstrates and confirms that an underlying mechanism for REMS generation is pre-synaptic inhibition from substantia nigra onto the REM-off terminals that project on REM-on neurons, as has been recently proposed. The importance of orexinergic neurons in stabilizing the wake-sleep cycle is demonstrated by showing how even small changes in inputs to or from those neurons can have a large impact on the ensuing dynamics. The results from this model allow us to make predictions of the neural mechanisms of regulation and patho-physiology of REMS.
url http://europepmc.org/articles/PMC3414531?pdf=render
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