Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans Export

@article{citeulike:815905, abstract = {Theories of instrumental learning are centred on understanding how success and failure are used to improve future decisions1. These theories highlight a central role for reward prediction errors in updating the values associated with available actions2. In animals, substantial evidence indicates that the neurotransmitter dopamine might have a key function in this type of learning, through its ability to modulate cortico-striatal synaptic efficacy3. However, no direct evidence links dopamine, striatal activity and behavioural choice in humans. Here we show that, during instrumental learning, the magnitude of reward prediction error expressed in the striatum is modulated by the administration of drugs enhancing (3,4-dihydroxy-l-phenylalanine; l-DOPA) or reducing (haloperidol) dopaminergic function. Accordingly, subjects treated with l-DOPA have a greater propensity to choose the most rewarding action relative to subjects treated with haloperidol. Furthermore, incorporating the magnitude of the prediction errors into a standard action-value learning algorithm accurately reproduced subjects' behavioural choices under the different drug conditions. We conclude that dopamine-dependent modulation of striatal activity can account for how the human brain uses reward prediction errors to improve future decisions.}, author = {Pessiglione, Mathias and Seymour, Ben and Flandin, Guillaume and Dolan, Raymond J. and Frith, Chris D.}, citeulike-article-id = {815905}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nature05051}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nature05051}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/16929307}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=16929307}, day = {23}, doi = {10.1038/nature05051}, issn = {0028-0836}, journal = {Nature}, keywords = {cogneuro-spring2008, dopamine, memory}, month = {August}, number = {7106}, pages = {1042--1045}, posted-at = {2008-02-09 00:21:21}, priority = {3}, publisher = {Nature Publishing Group}, title = {Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans}, url = {http://dx.doi.org/10.1038/nature05051}, volume = {442}, year = {2006} }

TY - JOUR ID - citeulike:815905 L3 - citeulike-article-id:815905 N2 - Theories of instrumental learning are centred on understanding how success and failure are used to improve future decisions1. These theories highlight a central role for reward prediction errors in updating the values associated with available actions2. In animals, substantial evidence indicates that the neurotransmitter dopamine might have a key function in this type of learning, through its ability to modulate cortico-striatal synaptic efficacy3. However, no direct evidence links dopamine, striatal activity and behavioural choice in humans. Here we show that, during instrumental learning, the magnitude of reward prediction error expressed in the striatum is modulated by the administration of drugs enhancing (3,4-dihydroxy-l-phenylalanine; l-DOPA) or reducing (haloperidol) dopaminergic function. Accordingly, subjects treated with l-DOPA have a greater propensity to choose the most rewarding action relative to subjects treated with haloperidol. Furthermore, incorporating the magnitude of the prediction errors into a standard action-value learning algorithm accurately reproduced subjects' behavioural choices under the different drug conditions. We conclude that dopamine-dependent modulation of striatal activity can account for how the human brain uses reward prediction errors to improve future decisions. IS - 7106 JF - Nature SN - 0028-0836 EP - 1045 TI - Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans PB - Nature Publishing Group VL - 442 SP - 1042 KW - cogneuro-spring2008 KW - dopamine KW - memory AU - Pessiglione, Mathias AU - Seymour, Ben AU - Flandin, Guillaume AU - Dolan, Raymond AU - Frith, Chris PY - 2006/08/23/ UR - http://dx.doi.org/10.1038/nature05051 ER -