Literature DB >> 15528079

Prediction error for free monetary reward in the human prefrontal cortex.

N Ramnani1, R Elliott, B S Athwal, R E Passingham.   

Abstract

Making predictions about future rewards is an important ability for primates, and its neurophysiological mechanisms have been studied extensively. One important approach is to identify neural systems that process errors related to reward prediction (i.e., areas that register the occurrence of unpredicted rewards and the failure of expected rewards). In monkeys that have learned to predict appetitive rewards during reward-directed behaviors, dopamine neurons reliably signal both types of prediction error. The mechanisms in the human brain involved in processing prediction error for monetary rewards are not well understood. Furthermore, nothing is known of how such systems operate when rewards are not contingent on behavior. We used event-related fMRI to localize responses to both classes of prediction error. Subjects were able to predict a monetary reward or a nonreward on the basis of a prior visual cue. On occasional trials, cue-outcome contingencies were reversed (unpredicted rewards and failure of expected rewards). Subjects were not required to make decisions or actions. We compared each type of prediction error trial with its corresponding control trial in which the same prediction did not fail. Each type of prediction error evoked activity in a distinct frontotemporal circuit. Unexpected reward failure evoked activity in the temporal cortex and frontal pole (area 10). Unpredicted rewards evoked activity in the orbitofrontal cortex, the frontal pole, parahippocampal cortex, and cerebellum. Activity time-locked to prediction errors in frontotemporal circuits suggests that they are involved in encoding the associations between visual cues and monetary rewards in the human brain.

Entities:  

Mesh:

Year:  2004        PMID: 15528079     DOI: 10.1016/j.neuroimage.2004.07.028

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  56 in total

1.  An fMRI study of reward circuitry in patients with minimal or extensive history of major depression.

Authors:  Geoffrey B C Hall; Andrea M B Milne; Glenda M Macqueen
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2013-08-29       Impact factor: 5.270

Review 2.  Common and distinct networks underlying reward valence and processing stages: a meta-analysis of functional neuroimaging studies.

Authors:  Xun Liu; Jacqueline Hairston; Madeleine Schrier; Jin Fan
Journal:  Neurosci Biobehav Rev       Date:  2010-12-24       Impact factor: 8.989

3.  Sensitivity of the nucleus accumbens to violations in expectation of reward.

Authors:  Julie Spicer; Adriana Galvan; Todd A Hare; Henning Voss; Gary Glover; Bj Casey
Journal:  Neuroimage       Date:  2006-10-17       Impact factor: 6.556

Review 4.  The nucleus accumbens and Pavlovian reward learning.

Authors:  Jeremy J Day; Regina M Carelli
Journal:  Neuroscientist       Date:  2007-04       Impact factor: 7.519

Review 5.  For juice or money: the neural response to intertemporal choice of primary and secondary rewards.

Authors:  Martine Lamy
Journal:  J Neurosci       Date:  2007-11-07       Impact factor: 6.167

6.  Valence and salience contribute to nucleus accumbens activation.

Authors:  Jeffrey C Cooper; Brian Knutson
Journal:  Neuroimage       Date:  2007-08-23       Impact factor: 6.556

Review 7.  Relevance to self: A brief review and framework of neural systems underlying appraisal.

Authors:  Taylor W Schmitz; Sterling C Johnson
Journal:  Neurosci Biobehav Rev       Date:  2007       Impact factor: 8.989

Review 8.  Neurocomputational models of basal ganglia function in learning, memory and choice.

Authors:  Michael X Cohen; Michael J Frank
Journal:  Behav Brain Res       Date:  2008-10-04       Impact factor: 3.332

9.  Abnormal ventromedial prefrontal cortex function in children with psychopathic traits during reversal learning.

Authors:  Elizabeth C Finger; Abigail A Marsh; Derek G Mitchell; Marguerite E Reid; Courtney Sims; Salima Budhani; David S Kosson; Gang Chen; Kenneth E Towbin; Ellen Leibenluft; Daniel S Pine; James R Blair
Journal:  Arch Gen Psychiatry       Date:  2008-05

10.  Adaptive coding of action values in the human rostral cingulate zone.

Authors:  Gerhard Jocham; Jane Neumann; Tilmann A Klein; Claudia Danielmeier; Markus Ullsperger
Journal:  J Neurosci       Date:  2009-06-10       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.