Local and global consequences of reward-evoked striatal dopamine release
Name
nihms-1553999.pdf
Description
Accepted version
Size
4.31 MB
Format
Adobe PDF
Checksum (MD5)
8f4986714a1cae027550aafb8398075c
Author(s)
Li, Nan
Jasanoff, Alan Pradip
Date Issued
2020
Journal
Nature
Publisher
Springer Science and Business Media LLC
Citation
Li, Nan and Jasanoff, Alan Pradip. 2020. "Local and global consequences of reward-evoked striatal dopamine release." Nature, 580 (7802).
Version
Author's final manuscript
Abstract
© 2020, The Author(s), under exclusive licence to Springer Nature Limited. The neurotransmitter dopamine is required for the reinforcement of actions by rewarding stimuli1. Neuroscientists have tried to define the functions of dopamine in concise conceptual terms2, but the practical implications of dopamine release depend on its diverse brain-wide consequences. Although molecular and cellular effects of dopaminergic signalling have been extensively studied3, the effects of dopamine on larger-scale neural activity profiles are less well-understood. Here we combine dynamic dopamine-sensitive molecular imaging4 and functional magnetic resonance imaging to determine how striatal dopamine release shapes local and global responses to rewarding stimulation in rat brains. We find that dopamine consistently alters the duration, but not the magnitude, of stimulus responses across much of the striatum, via quantifiable postsynaptic effects that vary across subregions. Striatal dopamine release also potentiates a network of distal responses, which we delineate using neurochemically dependent functional connectivity analyses. Hot spots of dopaminergic drive notably include cortical regions that are associated with both limbic and motor function. Our results reveal distinct neuromodulatory actions of striatal dopamine that extend well beyond its sites of peak release, and that result in enhanced activation of remote neural populations necessary for the performance of motivated actions. Our findings also suggest brain-wide biomarkers of dopaminergic function and could provide a basis for the improved interpretation of neuroimaging results that are relevant to learning and addiction.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1038/S41586-020-2158-3
