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dc.contributor.authorZhang-Molina, Calvin
dc.contributor.authorSchmit, Matthew B
dc.contributor.authorCai, Haijiang
dc.date.accessioned2020-11-19T00:27:03Z
dc.date.available2020-11-19T00:27:03Z
dc.date.issued2020-04-24
dc.identifier.citationZhang-Molina, C., Schmit, M. B., & Cai, H. (2020). Neural circuit mechanism underlying the feeding controlled by insula-central amygdala pathway. Iscience, 101033.en_US
dc.identifier.issn2589-0042
dc.identifier.pmid32311583
dc.identifier.doi10.1016/j.isci.2020.101033
dc.identifier.urihttp://hdl.handle.net/10150/648554
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherCELL PRESSen_US
dc.rightsCopyright © 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/).en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.titleNeural Circuit Mechanism Underlying the Feeding Controlled by Insula-Central Amygdala Pathwayen_US
dc.typeArticleen_US
dc.identifier.eissn2589-0042
dc.contributor.departmentUniv Arizona, Dept Mathen_US
dc.contributor.departmentUniv Arizona, Dept Neuroscien_US
dc.contributor.departmentUniv Arizona, Grad Interdisciplinary Program Neuroscien_US
dc.contributor.departmentUniv Arizona, Bio5 Insten_US
dc.contributor.departmentUniv Arizona, Dept Neurolen_US
dc.identifier.journalISCIENCEen_US
dc.description.noteOpen access journalen_US
dc.description.collectioninformationThis 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.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleiScience
dc.source.volume23
dc.source.issue4
dc.source.beginpage101033
dc.source.endpage
refterms.dateFOA2020-11-19T00:27:04Z
dc.source.countryUnited States


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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/).
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/).