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Brainstem networks construct threat probability and prediction error from neuronal building blocks

Strickland, Jasmin A.; McDannald, Michael A.

Brainstem networks construct threat probability and prediction error from neuronal building blocks Thumbnail


Authors

Michael A. McDannald



Abstract

When faced with potential threat we must estimate its probability, respond advantageously, and leverage experience to update future estimates. Threat estimation is the proposed domain of the forebrain, while behaviour is elicited by the brainstem. Yet, the brainstem is also a source of prediction error, a learning signal to acquire and update threat estimates. Neuropixels probes allowed us to record single-unit activity across a 21-region brainstem axis in rats receiving probabilistic fear discrimination with foot shock outcome. Against a backdrop of diffuse behaviour signaling, a brainstem network with a dorsal hub signaled threat probability. Neuronal function remapping during the outcome period gave rise to brainstem networks signaling prediction error and shock on multiple timescales. The results reveal brainstem networks construct threat probability, behaviour, and prediction error signals from neuronal building blocks.

Citation

Strickland, J. A., & McDannald, M. A. (2022). Brainstem networks construct threat probability and prediction error from neuronal building blocks. Nature Communications, 13(1), Article 6192. https://doi.org/10.1038/s41467-022-34021-1

Journal Article Type Article
Acceptance Date Oct 11, 2022
Online Publication Date Oct 19, 2022
Publication Date 2022
Deposit Date Feb 13, 2023
Publicly Available Date Feb 13, 2023
Journal Nature Communications
Publisher Nature Research
Peer Reviewed Peer Reviewed
Volume 13
Issue 1
Article Number 6192
DOI https://doi.org/10.1038/s41467-022-34021-1

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http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.




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