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Sorooshyari S, Huerta R, de Lecea L. A Framework for Quantitative Modeling of Neural Circuits Involved in Sleep-to-Wake Transition. Front Neurol. 2015;6:32doi: 10.3389/fneur.2015.00032.
Sorooshyari, S., Huerta, R., & de Lecea, L. (2015). A Framework for Quantitative Modeling of Neural Circuits Involved in Sleep-to-Wake Transition. Frontiers in neurology, 632. https://doi.org/10.3389/fneur.2015.00032
Sorooshyari, Siamak, et al. "A Framework for Quantitative Modeling of Neural Circuits Involved in Sleep-to-Wake Transition." Frontiers in neurology vol. 6 (2015): 32. doi: https://doi.org/10.3389/fneur.2015.00032
Sorooshyari S, Huerta R, de Lecea L. A Framework for Quantitative Modeling of Neural Circuits Involved in Sleep-to-Wake Transition. Front Neurol. 2015 Feb 26;6:32. doi: 10.3389/fneur.2015.00032. eCollection 2015. PMID: 25767461; PMCID: PMC4341569.
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Front Neurol. 2015 Feb 26;6:32. doi: 10.3389/fneur.2015.00032. eCollection 2015.

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

Frontiers in neurology

Siamak Sorooshyari, Ramón Huerta, Luis de Lecea

Affiliations

  1. Bell Laboratories, Alcatel-Lucent , Murray Hill, NJ , USA.
  2. BioCircuits Institute, University of California San Diego , La Jolla, CA , USA.
  3. Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine , Stanford, CA , USA.

PMID: 25767461 PMCID: PMC4341569 DOI: 10.3389/fneur.2015.00032

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.

Keywords: arousal system; awakenings; hypocretin; hypothalamus; neuromodulation; optogenetics; orexin

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