Control of sleep-to-wake transitions via fast amino acid and slow neuropeptide transmission

The locus coeruleus (LC) modulates cortical, subcortical, cerebellar, brainstem and spinal cord circuits and it expresses receptors for neuromodulators that operate on a time scale of several seconds. Evidence from anatomical, electrophysiological and optogenetic experiments has shown that LC neuron...

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Main Authors: Thiago Mosqueiro, Luis de Lecea, Ramon Huerta
Format: Article
Language:English
Published: IOP Publishing 2014-01-01
Series:New Journal of Physics
Subjects:
Online Access:https://doi.org/10.1088/1367-2630/16/11/115010
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author Thiago Mosqueiro
Luis de Lecea
Ramon Huerta
author_facet Thiago Mosqueiro
Luis de Lecea
Ramon Huerta
author_sort Thiago Mosqueiro
collection DOAJ
description The locus coeruleus (LC) modulates cortical, subcortical, cerebellar, brainstem and spinal cord circuits and it expresses receptors for neuromodulators that operate on a time scale of several seconds. Evidence from anatomical, electrophysiological and optogenetic experiments has shown that LC neurons receive input from a group of neurons called hypocretin neurons that release a neuropeptide called hypocretin. It is less well known how these two groups of neurons can be coregulated using GABAergic (GABA standing for gamma aminobutyric acid) neurons. As the time scale for GABA _A inhibition is several orders of magnitude faster than that for the hypocretin neuropeptide effect, we investigate the limits of circuit activity regulation using a realistic model of neurons. Our investigation shows that GABA _A inhibition is insufficient to control the activity levels of the LCs. Although slower forms of GABA _A can in principle work, there is not much plausibility due to the low probability of the presence of slow GABA _A and lack of robust stability at the maximum firing frequencies. The best possible control mechanism predicted by our modeling analysis is the presence of inhibitory neuropeptides, which exert effects on a similar time scale to the hypocretin/orexin. Although the nature of these inhibitory neuropeptides has not been identified yet, it provides the most efficient mechanism in the modeling analysis. Finally, we present a reduced mean-field model that perfectly captures the dynamics and the phenomena generated by this circuit. This investigation shows that brain communication involving multiple time scales can be better controlled by employing orthogonal mechanisms of neural transmission to decrease interference between cognitive processes and hypothalamic functions.
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spelling doaj.art-de68868533614f7c80941af25ba2e8012023-08-08T11:23:36ZengIOP PublishingNew Journal of Physics1367-26302014-01-01161111501010.1088/1367-2630/16/11/115010Control of sleep-to-wake transitions via fast amino acid and slow neuropeptide transmissionThiago Mosqueiro0Luis de Lecea1Ramon Huerta2Institute of Physics of São Carlos, University of São Paulo , São Carlos, SP, Brazil; BioCircuits Institute, University of California , San Diego, La Jolla, CA, USADepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine , Stanford, CA, USABioCircuits Institute, University of California , San Diego, La Jolla, CA, USAThe locus coeruleus (LC) modulates cortical, subcortical, cerebellar, brainstem and spinal cord circuits and it expresses receptors for neuromodulators that operate on a time scale of several seconds. Evidence from anatomical, electrophysiological and optogenetic experiments has shown that LC neurons receive input from a group of neurons called hypocretin neurons that release a neuropeptide called hypocretin. It is less well known how these two groups of neurons can be coregulated using GABAergic (GABA standing for gamma aminobutyric acid) neurons. As the time scale for GABA _A inhibition is several orders of magnitude faster than that for the hypocretin neuropeptide effect, we investigate the limits of circuit activity regulation using a realistic model of neurons. Our investigation shows that GABA _A inhibition is insufficient to control the activity levels of the LCs. Although slower forms of GABA _A can in principle work, there is not much plausibility due to the low probability of the presence of slow GABA _A and lack of robust stability at the maximum firing frequencies. The best possible control mechanism predicted by our modeling analysis is the presence of inhibitory neuropeptides, which exert effects on a similar time scale to the hypocretin/orexin. Although the nature of these inhibitory neuropeptides has not been identified yet, it provides the most efficient mechanism in the modeling analysis. Finally, we present a reduced mean-field model that perfectly captures the dynamics and the phenomena generated by this circuit. This investigation shows that brain communication involving multiple time scales can be better controlled by employing orthogonal mechanisms of neural transmission to decrease interference between cognitive processes and hypothalamic functions.https://doi.org/10.1088/1367-2630/16/11/115010hypothalamusHodgkin-Huxley modelsleeporexinGABAphase-resetting curves
spellingShingle Thiago Mosqueiro
Luis de Lecea
Ramon Huerta
Control of sleep-to-wake transitions via fast amino acid and slow neuropeptide transmission
New Journal of Physics
hypothalamus
Hodgkin-Huxley model
sleep
orexin
GABA
phase-resetting curves
title Control of sleep-to-wake transitions via fast amino acid and slow neuropeptide transmission
title_full Control of sleep-to-wake transitions via fast amino acid and slow neuropeptide transmission
title_fullStr Control of sleep-to-wake transitions via fast amino acid and slow neuropeptide transmission
title_full_unstemmed Control of sleep-to-wake transitions via fast amino acid and slow neuropeptide transmission
title_short Control of sleep-to-wake transitions via fast amino acid and slow neuropeptide transmission
title_sort control of sleep to wake transitions via fast amino acid and slow neuropeptide transmission
topic hypothalamus
Hodgkin-Huxley model
sleep
orexin
GABA
phase-resetting curves
url https://doi.org/10.1088/1367-2630/16/11/115010
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