Dopamine signatures of excessive and compulsive cocaine and fentanyl use

Excessive and compulsive drug use despite adverse consequences is a hallmark of substance use disorder, yet individuals differ markedly in their vulnerability to develop these behaviors. Drugs of abuse are long known to alter endogenous dopamine (DA) signaling, but shared principles for how DA dynamics impact compulsive use among individuals and across drug classes are lacking. Here, we monitored DA release in the medial shell of nucleus accumbens (NAc) during cocaine and fentanyl self-administration, with or without coincident punishment, in large cohorts of mice. Contingent cocaine and fentanyl self-administration evoked complex and individually distinct DA dynamics; nevertheless, a robust negative correlation held across both drugs, such that high takers exhibited lower drug-evoked DA signals. During punished drug taking, cocaine and fentanyl cases were associated with distinct DA signatures of compulsivity. For cocaine, punishment-resistant mice showed lower sustained DA responses during the post-shock, drug-associated cue period, whereas for fentanyl, punishment-resistant mice displayed larger phasic DA at the co-occurrence of footshock and drug infusion. To identify common principles underlying these observations, we developed a computational model grounded in an Actor-Critic temporal-difference (TD) learning framework that incorporates internal states, agent's uncertainty, and drug-specific effects. Remarkably, this model captures the observed diversity in DA dynamics across drug classes and among mice with variable drug taking propensities, hereby providing a unified interpretation of NAc DA signals as encoding TD reward prediction errors.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-01-20
DOI
https://doi.org/10.64898/2026.01.18.700215
Primary Topic
Neurotransmitter Receptor Influence on Behavior
Type
article
Field-Weighted Citation Impact
0.00

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article

Dopamine signatures of excessive and compulsive cocaine and fentanyl use

Ke Chen, Charlotte Wang, Wenxi Xiao, Akili Sundai et al.
bioRxiv (Cold Spring Harbor Laboratory)
Neurotransmitter Receptor Influence on Behavior
article

Dopamine signatures of excessive and compulsive cocaine and fentanyl use

Ke Chen, Charlotte Wang, Wenxi Xiao, Akili Sundai, Hao Zheng, Ila R. Fiete, Gabrielle Sevrain, Fan Wang
article en

Abstract

Excessive and compulsive drug use despite adverse consequences is a hallmark of substance use disorder, yet individuals differ markedly in their vulnerability to develop these behaviors. Drugs of abuse are long known to alter endogenous dopamine (DA) signaling, but shared principles for how DA dynamics impact compulsive use among individuals and across drug classes are lacking. Here, we monitored DA release in the medial shell of nucleus accumbens (NAc) during cocaine and fentanyl self-administration, with or without coincident punishment, in large cohorts of mice. Contingent cocaine and fentanyl self-administration evoked complex and individually distinct DA dynamics; nevertheless, a robust negative correlation held across both drugs, such that high takers exhibited lower drug-evoked DA signals. During punished drug taking, cocaine and fentanyl cases were associated with distinct DA signatures of compulsivity. For cocaine, punishment-resistant mice showed lower sustained DA responses during the post-shock, drug-associated cue period, whereas for fentanyl, punishment-resistant mice displayed larger phasic DA at the co-occurrence of footshock and drug infusion. To identify common principles underlying these observations, we developed a computational model grounded in an Actor-Critic temporal-difference (TD) learning framework that incorporates internal states, agent's uncertainty, and drug-specific effects. Remarkably, this model captures the observed diversity in DA dynamics across drug classes and among mice with variable drug taking propensities, hereby providing a unified interpretation of NAc DA signals as encoding TD reward prediction errors.

bioRxiv (Cold Spring Harbor Laboratory)
McGovern Institute for Brain Research (US), Institute of Cognitive and Brain Sciences (US), Massachusetts Institute of Technology (US)
National Institutes of Health, McGovern Institute for Brain Research, Massachusetts Institute of Technology
Good health and well-being
Openalex Percentile: Top 85%
Neurotransmitter Receptor Influence on Behavior
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