A Framework for Quantitative Modeling of Neural Circuits Involved in Sleep-to-Wake Transition

Frontiers in Neurology
Siamak SorooshyariLuis de Lecea

Abstract

Identifying the neuronal circuits and dynamics of sleep-to-wake transition is essential to understanding brain regulation of behavioral states, including sleep-wake cycles, arousal, and hyperarousal. Recent work by different laboratories has used optogenetics to determine the role of individual neuromodulators in state transitions. The optogenetically driven data do not yet provide a multi-dimensional schematic of the mechanisms underlying changes in vigilance states. This work presents a modeling framework to interpret, assist, and drive research on the sleep-regulatory network. We identify feedback, redundancy, and gating hierarchy as three fundamental aspects of this model. The presented model is expected to expand as additional data on the contribution of each transmitter to a vigilance state becomes available. Incorporation of conductance-based models of neuronal ensembles into this model and existing models of cortical excitability will provide more comprehensive insight into sleep dynamics as well as sleep and arousal-related disorders.

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Citations

Dec 6, 2017·Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology·Ada Eban-RothschildLuis de Lecea
Aug 4, 2016·Nature·Stephane Dissel, Paul J Shaw
Mar 3, 2020·Frontiers in Computational Neuroscience·Michael C ChenJun Lu
Nov 11, 2015·Neuroscience Bulletin·Xi Zha, Xiaohong Xu
Mar 4, 2019·Clocks & Sleep·Svetlana Postnova

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