BOLD responses to negative reward prediction errors in human habenula

dc.contributor.authorSalas, Ramiroen
dc.contributor.authorBaldwin, Philip R.en
dc.contributor.authorBiasi, Mariella deen
dc.contributor.authorMontague, P. Readen
dc.date.accessioned2019-06-03T21:02:53Zen
dc.date.available2019-06-03T21:02:53Zen
dc.date.issued2010-05-11en
dc.description.abstractAlthough positive reward prediction error, a key element in learning that is signaled by dopamine cells, has been extensively studied, little is known about negative reward prediction errors in humans. Detailed animal electrophysiology shows that the habenula, an integrative region involved in many processes including learning, reproduction, and stress responses, also encodes negative reward-related events such as negative reward prediction error signals. In humans, however, the habenula's extremely small size has prevented direct assessments of its function. We developed a method to functionally locate and study the habenula in humans using fMRI, based on the expected reward-dependent response phenomenology of habenula and striatum and, we provide conclusive evidence for activation in human habenula to negative reward prediction errors.en
dc.description.sponsorshipThis work was supported by Baylor College of Medicine and grants R01 DA11723, R01 NS045790 (PRM), RO1 DA 017173 (MDB), and The Kane Family Foundation (PRM).en
dc.format.extent7 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.3389/fnhum.2010.00036en
dc.identifier.urihttp://hdl.handle.net/10919/89701en
dc.identifier.volume4en
dc.language.isoenen
dc.publisherFrontiersen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjecthabenulaen
dc.subjectfMRIen
dc.subjectreward learningen
dc.subjectprediction erroren
dc.subjectepithalamusen
dc.titleBOLD responses to negative reward prediction errors in human habenulaen
dc.title.serialFrontiers in Human Neuroscienceen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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