Dopamine regulates decision thresholds in human reinforcement learning in males
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Dopamine regulates decision thresholds in human reinforcement learning in males. / Chakroun, Karima; Wiehler, Antonius; Wagner, Ben; Mathar, David; Ganzer, Florian; van Eimeren, Thilo; Sommer, Tobias; Peters, Jan.
in: NAT COMMUN, Jahrgang 14, Nr. 1, 04.09.2023, S. 5369.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Dopamine regulates decision thresholds in human reinforcement learning in males
AU - Chakroun, Karima
AU - Wiehler, Antonius
AU - Wagner, Ben
AU - Mathar, David
AU - Ganzer, Florian
AU - van Eimeren, Thilo
AU - Sommer, Tobias
AU - Peters, Jan
N1 - © 2023. Springer Nature Limited.
PY - 2023/9/4
Y1 - 2023/9/4
N2 - Dopamine fundamentally contributes to reinforcement learning, but recent accounts also suggest a contribution to specific action selection mechanisms and the regulation of response vigour. Here, we examine dopaminergic mechanisms underlying human reinforcement learning and action selection via a combined pharmacological neuroimaging approach in male human volunteers (n = 31, within-subjects; Placebo, 150 mg of the dopamine precursor L-dopa, 2 mg of the D2 receptor antagonist Haloperidol). We found little credible evidence for previously reported beneficial effects of L-dopa vs. Haloperidol on learning from gains and altered neural prediction error signals, which may be partly due to differences experimental design and/or drug dosages. Reinforcement learning drift diffusion models account for learning-related changes in accuracy and response times, and reveal consistent decision threshold reductions under both drugs, in line with the idea that lower dosages of D2 receptor antagonists increase striatal DA release via an autoreceptor-mediated feedback mechanism. These results are in line with the idea that dopamine regulates decision thresholds during reinforcement learning, and may help to bridge action selection and response vigor accounts of dopamine.
AB - Dopamine fundamentally contributes to reinforcement learning, but recent accounts also suggest a contribution to specific action selection mechanisms and the regulation of response vigour. Here, we examine dopaminergic mechanisms underlying human reinforcement learning and action selection via a combined pharmacological neuroimaging approach in male human volunteers (n = 31, within-subjects; Placebo, 150 mg of the dopamine precursor L-dopa, 2 mg of the D2 receptor antagonist Haloperidol). We found little credible evidence for previously reported beneficial effects of L-dopa vs. Haloperidol on learning from gains and altered neural prediction error signals, which may be partly due to differences experimental design and/or drug dosages. Reinforcement learning drift diffusion models account for learning-related changes in accuracy and response times, and reveal consistent decision threshold reductions under both drugs, in line with the idea that lower dosages of D2 receptor antagonists increase striatal DA release via an autoreceptor-mediated feedback mechanism. These results are in line with the idea that dopamine regulates decision thresholds during reinforcement learning, and may help to bridge action selection and response vigor accounts of dopamine.
KW - Humans
KW - Male
KW - Dopamine
KW - Levodopa/pharmacology
KW - Haloperidol/pharmacology
KW - Men
KW - Plastic Surgery Procedures
U2 - 10.1038/s41467-023-41130-y
DO - 10.1038/s41467-023-41130-y
M3 - SCORING: Journal article
C2 - 37666865
VL - 14
SP - 5369
JO - NAT COMMUN
JF - NAT COMMUN
SN - 2041-1723
IS - 1
ER -