Neural Circuit Mechanism Underlying the Feeding Controlled by Insula-Central Amygdala Pathway
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Affiliation
Univ Arizona, Dept MathUniv Arizona, Dept Neurosci
Univ Arizona, Grad Interdisciplinary Program Neurosci
Univ Arizona, Bio5 Inst
Univ Arizona, Dept Neurol
Issue Date
2020-04-24
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Zhang-Molina, C., Schmit, M. B., & Cai, H. (2020). Neural circuit mechanism underlying the feeding controlled by insula-central amygdala pathway. Iscience, 101033.Journal
ISCIENCERights
Copyright © 2020 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The Central nucleus of amygdala (CeA) contains distinct populations of neurons that play opposing roles in feeding. The circuit mechanism of how CeA neurons process information sent fromtheir upstreaminputs to regulate feeding is still unclear. Here we show that activation of the neural pathway projecting from insular cortex neurons to the CeA suppresses food intake. Surprisingly, we find that the inputs from insular cortex form excitatory connections with similar strength to all types of CeA neurons. To reconcile this puzzling result, and previous findings, we developed a conductance-based dynamical systems model for the CeA neuronal network. Computer simulations showed that both the intrinsic electrophysiological properties of individual CeA neurons and the overall synaptic organization of the CeA circuit play a functionally significant role in shaping CeA neural dynamics. We successfully identified a specific CeA circuit structure that reproduces the desired circuit output consistent with existing experimentally observed feeding behaviors.Note
Open access journalISSN
2589-0042EISSN
2589-0042PubMed ID
32311583Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1016/j.isci.2020.101033
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Except where otherwise noted, this item's license is described as Copyright © 2020 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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