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  4. A cortical-brainstem circuit predicts and governs compulsive alcohol drinking

A cortical-brainstem circuit predicts and governs compulsive alcohol drinking

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sword-2021-12-01T15:41:13.original.xml (130 B)
Original SWORD entry document
Author(s)
Siciliano, Cody A
•
Noamany, Habiba
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Chang, Chia-Jung
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Brown, Alex R
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Chen, Xinhong
•
Leible, Daniel
•
Lee, Jennifer J
•
Wang, Joyce
•
Vernon, Amanda N
•
Vander Weele, Caitlin M
more
Date Issued
2019
Journal
Science
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Siciliano, Cody A, Noamany, Habiba, Chang, Chia-Jung, Brown, Alex R, Chen, Xinhong et al. 2019. "A cortical-brainstem circuit predicts and governs compulsive alcohol drinking." Science, 366 (6468).
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Author's final manuscript
Abstract
© 2019 American Association for the Advancement of Science. All rights reserved. What individual differences in neural activity predict the future escalation of alcohol drinking from casual to compulsive? The neurobiological mechanisms that gate the transition from moderate to compulsive drinking remain poorly understood. We longitudinally tracked the development of compulsive drinking across a binge-drinking experience in male mice. Binge drinking unmasked individual differences, revealing latent traits in alcohol consumption and compulsive drinking despite equal prior exposure to alcohol. Distinct neural activity signatures of cortical neurons projecting to the brainstem before binge drinking predicted the ultimate emergence of compulsivity. Mimicry of activity patterns that predicted drinking phenotypes was sufficient to bidirectionally modulate drinking. Our results provide a mechanistic explanation for individual variance in vulnerability to compulsive alcohol drinking.
MIT Department
Picower Institute for Learning and Memory
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/138268
DOI of Published Version
https://doi.org/10.1126/SCIENCE.AAY1186
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