Literature DB >> 34939925

Slowly evolving dopaminergic activity modulates the moment-to-moment probability of reward-related self-timed movements.

Allison E Hamilos1, Giulia Spedicato1, Ye Hong1, Fangmiao Sun2, Yulong Li2, John A Assad1,3.   

Abstract

Clues from human movement disorders have long suggested that the neurotransmitter dopamine plays a role in motor control, but how the endogenous dopaminergic system influences movement is unknown. Here, we examined the relationship between dopaminergic signaling and the timing of reward-related movements in mice. Animals were trained to initiate licking after a self-timed interval following a start-timing cue; reward was delivered in response to movements initiated after a criterion time. The movement time was variable from trial-to-trial, as expected from previous studies. Surprisingly, dopaminergic signals ramped-up over seconds between the start-timing cue and the self-timed movement, with variable dynamics that predicted the movement/reward time on single trials. Steeply rising signals preceded early lick-initiation, whereas slowly rising signals preceded later initiation. Higher baseline signals also predicted earlier self-timed movements. Optogenetic activation of dopamine neurons during self-timing did not trigger immediate movements, but rather caused systematic early-shifting of movement initiation, whereas inhibition caused late-shifting, as if modulating the probability of movement. Consistent with this view, the dynamics of the endogenous dopaminergic signals quantitatively predicted the moment-by-moment probability of movement initiation on single trials. We propose that ramping dopaminergic signals, likely encoding dynamic reward expectation, can modulate the decision of when to move.
© 2021, Hamilos et al.

Entities:  

Keywords:  basal ganglia; behavior; dopamine; mouse; movement initiation; neuroscience; reward; timing

Mesh:

Substances:

Year:  2021        PMID: 34939925      PMCID: PMC8860451          DOI: 10.7554/eLife.62583

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


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Authors:  Allison E Hamilos; Giulia Spedicato; Ye Hong; Fangmiao Sun; Yulong Li; John A Assad
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