Multiplexed action-outcome representation by striatal striosome-matrix compartments detected with a mouse cost-benefit foraging task
Name
s41467-022-28983-5.pdf
Description
Published version
Size
3.53 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Bloem, Bernard
Huda, Rafiq
Amemori, Ken-ichi
Abate, Alex S
Krishna, Gayathri
Wilson, Anna L
Carter, Cody W
Sur, Mriganka
Graybiel, Ann M
Date Issued
2022
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Bloem, Bernard, Huda, Rafiq, Amemori, Ken-ichi, Abate, Alex S, Krishna, Gayathri et al. 2022. "Multiplexed action-outcome representation by striatal striosome-matrix compartments detected with a mouse cost-benefit foraging task." Nature Communications, 13 (1).
Version
Final published version
Abstract
AbstractLearning about positive and negative outcomes of actions is crucial for survival and underpinned by conserved circuits including the striatum. How associations between actions and outcomes are formed is not fully understood, particularly when the outcomes have mixed positive and negative features. We developed a novel foraging (‘bandit’) task requiring mice to maximize rewards while minimizing punishments. By 2-photon Ca++ imaging, we monitored activity of visually identified anterodorsal striatal striosomal and matrix neurons. We found that action-outcome associations for reward and punishment were encoded in parallel in partially overlapping populations. Single neurons could, for one action, encode outcomes of opposing valence. Striosome compartments consistently exhibited stronger representations of reinforcement outcomes than matrix, especially for high reward or punishment prediction errors. These findings demonstrate multiplexing of action-outcome contingencies by single identified striatal neurons and suggest that striosomal neurons are particularly important in action-outcome learning.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/S41467-022-28983-5
