Dopaminergic modulation of the trade-off between probability and time in economic decision-making

Arrondo, Gonzalo; Aznárez-Sanado, Maite; Fernández‐Seara, María A.; Goñi, Joaquín; Loayza, Francis R.; Salamon-Klobut, Ewa; Heukamp, Franz H.; Pastor, María A.

doi:10.1016/j.euroneuro.2015.02.011

Cited by 21 publications

(29 citation statements)

References 51 publications

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“…Our findings help to resolve some of these conflicting results in several ways. First, our finding of reduced temporal discounting under Haloperidol is in line with two recent studies that reported reduced temporal discounting following administration of D2/D3 receptor antagonists 16,17 . On the other hand, a reduction of temporal discounting following administration of Haloperidol was not observed in an earlier within-subjects study with n=13 participants 13 that used a slightly lower dosage of 1.5mg (we used 2mg).…”

Section: Discussionsupporting

confidence: 92%

“…Although fMRI was measured during performance of different tasks, this observation is arguably more compatible with the idea that the dosage of Haloperidol applied in the present study increased (rather than decreased) striatal DA signaling. Similar neural evidence was lacking in most previous human pharmacological studies on DA contributions to temporal discounting 10,12,16,17 . Second, the DDM-based modeling approach adopted in the present study (see above) allowed us examine the dynamics underlying decision-making much more comprehensively than previous human pharmacological studies 10,12–14,16,17 .…”

Section: Discussionsupporting

confidence: 71%

“…Similar neural evidence was lacking in most previous human pharmacological studies on DA contributions to temporal discounting 10,12,16,17 . Second, the DDM-based modeling approach adopted in the present study (see above) allowed us examine the dynamics underlying decision-making much more comprehensively than previous human pharmacological studies 10,12–14,16,17 . In addition to the drug-effect on the discount rate log(k), diffusion modeling revealed a substantially shorter non-decision time in the haloperidol group that amounted to ≈180ms on average.…”

Section: Discussionsupporting

confidence: 71%

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Dopaminergic modulation of human inter-temporal choice: a diffusion model analysis using the D2-receptor-antagonist haloperidol

Wagner

Clos

Sommer

et al. 2020

Preprint

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14The neurotransmitter dopamine is implicated in diverse functions, including reward 15 processing, reinforcement learning and cognitive control. The tendency to discount future 16 rewards in value over time has long been discussed in the context of potential dopaminergic 17 modulation. Here we examined the effect of a single dose of the D2 receptor antagonist 18 Haloperidol (2mg) on temporal discounting. Our approach extends previous human 19 pharmacological studies in two ways. First, we applied state-of-the-art computational 20 modeling based on the drift diffusion model to comprehensively examine choice dynamics. 21Second, we examined dopaminergic modulation of reward magnitude effects on temporal 22 discounting. Drift diffusion modeling revealed reduced temporal discounting and substantially 23 faster non-decision times under Haloperidol. Temporal discounting was substantially 24 increased for low vs. high reward magnitudes, but this magnitude effect was largely 25 unaffected by Haloperidol. These results were corroborated by model-free analyses as well as 26 modeling via more standard approaches using softmax action selection. We previously 27 reported elevated caudate activation under Haloperidol in this sample of participants, 28 supporting the idea that Haloperidol elevated dopamine neurotransmission, e.g. by blocking 29 inhibitory feedback via presynaptic D2 autoreceptors. The present modeling results show that 30 during inter-temporal choice, this leads to attenuated temporal discounting and increased 31 response vigor (shorter non-decision times).32 33planning is thought to rely on anticipatory mechanisms that compute future outcomes based 68 on an environmental state-space, whereas such explicit forward planning is not required for 69 model-free RL. While one study found no association between model-based RL and temporal 70 discounting 19 , another large-scale online study observed the predicted positive association: 71 participants with a stronger contribution of model-based planning to RL also showed reduced 72 temporal discounting 20 . However, in contrast to temporal discounting, where (as mentioned 73 above) elevation of DA levels via the catecholamine precursor L-DOPA lead to more 74 impulsive decision-making and steeper discounting 13 (though results in a larger sample were 75 considerably more mixed 14 ), L-DOPA instead increased reliance on model-based RL in 76 controls 21 and Parkinson's disease patients 22 . However, a recent study in a substantially larger 77 sample (n=65) did not replicate this overall effect of L-DOPA on model-based control 23 . 78Rather, in this study the effect of L-DOPA was restricted to a subset of participants with high 79 working memory capacity. 80Several task-related and contextual factors affect the degree of temporal 81 discounting 1,24 . One well-replicated behavioral effect, the magnitude effect, refers to the 82 observation that the rate of temporal discounting decreases with increasing reward 83 magnitude 25 . In humans, this effect depends on lateral p...

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 71%

Section: Discussionsupporting

confidence: 71%

See 1 more Smart Citation

Dopaminergic modulation of human inter-temporal choice: a diffusion model analysis using the D2-receptor-antagonist haloperidol

Wagner

Clos

Sommer

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Administration of the DA precursor L-dopa increases delayed reward discounting in healthy individuals [ 65 ]. In addition, pharmacologic DA replacement or agonist therapy augments delayed reward discounting in Parkinson disease patients [ 66 – 67 ] and antagonism of D2R with metoclopramide decreases discounting in healthy individuals [ 68 ]. Also in line with our observation, addiction-like eating behavior is associated with increased DA signaling, as represented by individual multilocus genetic profile scores that account for variability in ANKK1 alleles A2 and A1 [ 69 ], which are associated with higher and lower D2-like receptor binding, respectively [ 70 ].…”

Section: Discussionmentioning

confidence: 99%

Insulin, Central Dopamine D2 Receptors, and Monetary Reward Discounting in Obesity

et al. 2015

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Animal research finds that insulin regulates dopamine signaling and reward behavior, but similar research in humans is lacking. We investigated whether individual differences in body mass index, percent body fat, pancreatic β-cell function, and dopamine D2 receptor binding were related to reward discounting in obese and non-obese adult men and women. Obese (n = 27; body mass index>30) and non-obese (n = 20; body mass index<30) adults were assessed for percent body fat with dual-energy X-ray absorptiometry and for β-cell function using disposition index. Choice of larger, but delayed or less certain, monetary rewards relative to immediate, certain smaller monetary rewards was measured using delayed and probabilistic reward discounting tasks. Positron emission tomography using a non-displaceable D2-specific radioligand, [11C](N-methyl)benperidol quantified striatal D2 receptor binding. Groups differed in body mass index, percent body fat, and disposition index, but not in striatal D2 receptor specific binding or reward discounting. Higher percent body fat in non-obese women related to preference for a smaller, certain reward over a larger, less likely one (greater probabilistic discounting). Lower β-cell function in the total sample and lower insulin sensitivity in obese related to stronger preference for an immediate and smaller monetary reward over delayed receipt of a larger one (greater delay discounting). In obese adults, higher striatal D2 receptor binding related to greater delay discounting. Interestingly, striatal D2 receptor binding was not significantly related to body mass index, percent body fat, or β-cell function in either group. Our findings indicate that individual differences in percent body fat, β-cell function, and striatal D2 receptor binding may each contribute to altered reward discounting behavior in non-obese and obese individuals. These results raise interesting questions about whether and how striatal D2 receptor binding and metabolic factors, including β-cell function, interact to affect reward discounting in humans.

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“…In the selection of convenient food choices, not only prefrontal regions, but also the neural communication between the lateral hypothalamus and corticostriatal regions determined by the metabolic state, are functionally relevant (Huerta et al 2014). The dopaminergic system in particular may play a key role in reward-related food intake and with behaviors necessary for feeding to maintain survival (Suzuki et al 2012), but also with motivation (Salamone et al 2015) and risktaking behavior (Arrondo et al 2015).…”

Section: A Neural Basis For Food Foraging In Obesitymentioning

confidence: 99%

Hope, exploration, and equilibrated action schemes

Gozli

Gao

2019

Behav Brain Sci

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Dopaminergic modulation of the trade-off between probability and time in economic decision-making

Cited by 21 publications

References 51 publications

Dopaminergic modulation of human inter-temporal choice: a diffusion model analysis using the D2-receptor-antagonist haloperidol

Dopaminergic modulation of human inter-temporal choice: a diffusion model analysis using the D2-receptor-antagonist haloperidol

Insulin, Central Dopamine D2 Receptors, and Monetary Reward Discounting in Obesity

Hope, exploration, and equilibrated action schemes

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