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Research papers on Dopamine, reward and motivation

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  4. Dissociable dopamine dynamics for learning and motivation

    Ali Mohebi, Jeffrey R. Pettibone, Arif Hamid, et al. · 2019 · Nature · 738 citations

    The dopamine projection from ventral tegmental area (VTA) to nucleus accumbens (NAc) is critical for motivation to work for rewards and reward-driven learning. How dopamine supports both functions is unclear. Dopamine cell spiking can encode prediction errors, which are vital learning signals in computational theories of adaptive behaviour. By contrast, dopamine release ramps up as animals approach rewards, mirroring reward expectation. This mismatch might reflect differences in behavioural tasks, slower changes in dopamine cell spiking or spike-independent modulation of dopamine release. Here we compare spiking of identified VTA dopamine cells with NAc dopamine release in the same decision-

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  6. Dopamine, learning, and reward-seeking behavior

    Óscar Arias-Carrión, Ernst Pöppel · 2007 · Acta Neurobiologiae Experimentalis · 275 citations

    Dopaminergic neurons of the midbrain are the main source of dopamine (DA) in the brain. DA has been shown to be involved in the control of movements, the signaling of error in prediction of reward, motivation, and cognition. Cerebral DA depletion is the hallmark of Parkinson's disease (PD). Other pathological states have also been associated with DA dysfunction, such as schizophrenia, autism, and attention deficit hyperactivity disorder in children, as well as drug abuse. DA is closely associated with reward-seeking behaviors, such as approach, consumption, and addiction. Recent researches suggest that the firing of DA neurons is a motivational substance as a consequence of reward-anticipati

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  9. Dopamine, Updated: Reward Prediction Error and Beyond

    Talia N. Lerner, Ashley L. Holloway, Jillian L. Seiler · 2020 · Current Opinion in Neurobiology · 171 citations

    Dopamine neurons have been intensely studied for their roles in reinforcement learning. A dominant theory of how these neurons contribute to learning is through the encoding of a reward prediction error (RPE) signal. Recent advances in dopamine research have added nuance to RPE theory by incorporating the ideas of sensory prediction error, distributional encoding, and belief states. Further nuance is likely to be added shortly by convergent lines of research on dopamine neuron diversity. Finally, a major challenge is to reconcile RPE theory with other current theories of dopamine function to account for dopamine’s role in movement, motivation, and goal-directed planning.

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  10. Association of Elevated Reward Prediction Error Response With Weight Gain in Adolescent Anorexia Nervosa

    Marisa Deguzman, Megan E. Shott, Tony T. Yang, et al. · 2017 · The American journal of psychiatry · 91 citations

    Objective Anorexia nervosa is a psychiatric disorder of unknown etiology. Understanding associations between behavior and neurobiology is important in treatment development. Using a novel monetary reward task during functional magnetic resonance brain imaging, the authors tested how brain reward learning in adolescent anorexia nervosa changes with weight restoration. Method Female adolescents with anorexia nervosa (N=21; mean age, 15.2 years [SD=2.4]) underwent functional MRI (fMRI) before and after treatment; similarly, healthy female control adolescents (N=21; mean age, 16.4 years [SD=1.9]) underwent fMRI on two occasions. Brain function was tested using the reward prediction error constru

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  11. Dopamine transients follow a striatal gradient of reward time horizons

    Ali Mohebi, Wei Wei, Lilian Pelattini, et al. · 2024 · Nature Neuroscience · 72 citations

    Animals make predictions to guide their behavior and update those predictions through experience. Transient increases in dopamine (DA) are thought to be critical signals for updating predictions. However, it is unclear how this mechanism handles a wide range of behavioral timescales—from seconds or less (for example, if singing a song) to potentially hours or more (for example, if hunting for food). Here we report that DA transients in distinct rat striatal subregions convey prediction errors based on distinct time horizons. DA dynamics systematically accelerated from ventral to dorsomedial to dorsolateral striatum, in the tempo of spontaneous fluctuations, the temporal integration of prior

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  12. Activity of a direct VTA to ventral pallidum GABA pathway encodes unconditioned reward value and sustains motivation for reward

    Wen-Liang Zhou, Kristen Kim, Farhan Ali, et al. · 2022 · Science Advances · 39 citations

    Dopamine signaling from the ventral tegmental area (VTA) plays critical roles in reward-related behaviors, but less is known about the functions of neighboring VTA GABAergic neurons. We show here that a primary target of VTA GABA projection neurons is the ventral pallidum (VP). Activity of VTA-to-VP–projecting GABA neurons correlates consistently with size and palatability of the reward and does not change following cue learning, providing a direct measure of reward value. Chemogenetic stimulation of this GABA projection increased activity of a subset of VP neurons that were active while mice were seeking reward. Optogenetic stimulation of this pathway improved performance in a cue-reward ta

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  13. Dopamine promotes instrumental motivation, but reduces reward-related vigour

    John P Grogan, Timothy R Sandhu, Michele T Hu, et al. · 2020 · eLife · 34 citations

    We can be motivated when reward depends on performance, or merely by the prospect of a guaranteed reward. Performance-dependent (contingent) reward is instrumental, relying on an internal action-outcome model, whereas motivation by guaranteed reward may minimise opportunity cost in reward-rich environments. Competing theories propose that each type of motivation should be dependent on dopaminergic activity. We contrasted these two types of motivation with a rewarded saccade task, in patients with Parkinson’s disease (PD). When PD patients were ON dopamine, they had greater response vigour (peak saccadic velocity residuals) for contingent rewards, whereas when PD patients were OFF medication,

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  14. Seeking motivation and reward: Roles of dopamine, hippocampus, and supramammillo-septal pathway

    Andrew J. Kesner, Coleman B. Calva, S. Ikemoto · 2022 · Progress in neurobiology · 31 citations

    Reinforcement learning and goal-seeking behavior are thought to be mediated by midbrain dopamine neurons. However, little is known about neural substrates of curiosity and exploratory behavior, which occur in the absence of clear goal or reward. This is despite behavioral scientists having long suggested that curiosity and exploratory behaviors are regulated by an innate drive. We refer to such behavior as information-seeking behavior and propose 1) key neural substrates and 2) the concept of environment prediction error as a framework to understand information-seeking processes. The cognitive aspect of information-seeking behavior, including the perception of salience and uncertainty, invol

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  15. Negative symptoms, striatal dopamine, and model-free reward decision-making in schizophrenia.

    F. Brandl, F. Knolle, M. Avram, et al. · 2022 · Brain : a journal of neurology · 26 citations

    Negative symptoms, such as lack of motivation or social withdrawal, are highly prevalent and debilitating in patients with schizophrenia. Underlying mechanisms of negative symptoms are incompletely understood, thereby preventing the development of targeted treatments. We hypothesized that in patients with schizophrenia during psychotic remission, impaired influences of both model-based and model-free reward predictions on decision-making ('reward prediction influence', RPI) underlie negative symptoms. We focused on psychotic remission since psychotic symptoms might confound reward-based decision-making. Moreover, we hypothesized that impaired model-based/model-free RPIs depend on alterations

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  16. A mismatch between striatal cholinergic pauses and dopaminergic reward prediction errors

    Mariana Duhne, Ali Mohebi, Kyoungjun Kim, et al. · 2024 · Proceedings of the National Academy of Sciences of the United States of America · 25 citations

    Movement, motivation and reward-related learning depend strongly on striatal dopamine and acetylcholine. These neuromodulators each regulate the other, and disturbances to their coordinated signals contribute to human disorders ranging from Parkinson’s Disease to depression and addiction. Pauses in the firing of cholinergic interneurons (CINs) are thought to coincide with pulses in dopamine release that encode reward prediction errors (RPEs), together shaping synaptic plasticity and thereby learning. However, such models are based upon recordings from unidentified neurons, and do not incorporate the distinct characteristics of striatal subregions. Here we compare the firing of identified, in

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  17. Selective encoding of reward predictions and prediction errors by globus pallidus subpopulations

    M. Farries, T. W. Faust, Ali Mohebi, et al. · 2023 · Current biology : CB · 25 citations

    SUMMARY Basal ganglia circuits help guide and invigorate actions using predictions of future reward (values). Within the basal ganglia, the globus pallidus pars externa (GPe) may play an essential role in aggregating and distributing value information. We recorded from the GPe in unrestrained rats performing both Pavlovian and instrumental tasks to obtain rewards, and distinguished neuronal subtypes by their firing properties across the wake/sleep cycle and optogenetic tagging. In both tasks the parvalbumin-positive (PV+), faster-firing “Prototypical” neurons showed strong, sustained modulation by value, unlike other subtypes including the “Arkypallidal” cells that project back to striatum.

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  18. Distinct dynamics and intrinsic properties in ventral tegmental area populations mediate reward association and motivation

    Jordan E Elum, Eric R. Szelenyi, Barbara Juarez, et al. · 2024 · Cell reports · 23 citations

    Ventral tegmental area (VTA) dopamine neurons regulate reward-related associative learning and reward-driven motivated behaviors, but how these processes are coordinated by distinct VTA neuronal subpopulations remains unresolved. Here we examine the neural correlates of reward-related prediction-error, action, cue, and outcome encoding as well as effort exertion and reward anticipation during reward-seeking behaviors. We compare the contribution of two primarily dopaminergic and largely non-overlapping VTA subpopulations, all VTA dopamine neurons, and VTA GABAergic neurons of the mouse midbrain to these processes. The dopamine subpopulation that projects to the nucleus accumbens (NAc) core p

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  19. Dopamine firing plays a dual role in coding reward prediction errors and signaling motivation in a working memory task

    Stefania Sarno, Manuel Beirán, Joan Falcó-Roget, et al. · 2022 · Proceedings of the National Academy of Sciences · 21 citations

    Little is known about how dopamine (DA) neuron firing rates behave in cognitively demanding decision-making tasks. Here, we investigated midbrain DA activity in monkeys performing a discrimination task in which the animal had to use working memory (WM) to report which of two sequentially applied vibrotactile stimuli had the higher frequency. We found that perception was altered by an internal bias, likely generated by deterioration of the representation of the first frequency during the WM period. This bias greatly controlled the DA phasic response during the two stimulation periods, confirming that DA reward prediction errors reflected stimulus perception. In contrast, tonic dopamine activi

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  22. Reward prediction-errors weighted by cue salience produces addictive behaviors in simulations, with asymmetrical learning and steeper delay discounting

    Shivam Kalhan, M. Garrido, R. Hester, et al. · 2023 · bioRxiv · 5 citations

    Dysfunction in learning and motivational systems are thought to contribute to addictive behaviours. Previous models have suggested that dopaminergic roles in learning and motivation could produce addictive behaviours through pharmacological manipulations that provide excess dopaminergic signalling towards these learning and motivational systems. Redish 2004 suggested a role based on dopaminergic signals of value prediction error, while Zhang et al. 2009 suggested a role based on dopaminergic signals of motivation. Both these models present significant limitations. They do not explain the reduced sensitivity to drug-related costs/negative consequences, the increased impulsivity generally foun

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  24. Dopamine firing plays a double role in coding reward prediction errors and signaling motivation in a working memory task

    Stefania Sarno, Manuel Beirán, Joan Falcó-Roget, et al. · 2020 · bioRxiv (Cold Spring Harbor Laboratory) · 3 citations

    Abstract Little is known about how dopamine (DA) neuron firing rates behave in cognitively demanding decision-making tasks. Here we investigated midbrain DA activity in monkeys performing a discrimination task in which the animal had to use working memory (WM) to report which of two sequentially applied vibrotactile stimuli had the higher frequency. We found that perception was altered by an internal bias, likely generated by deterioration of the representation of the first frequency during the WM period. This bias greatly controlled the DA phasic response during the two stimulation periods, confirming that DA reward prediction errors reflected subjective stimulus perception. Contrastingly,

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