Literature DB >> 17698371

Imaging the changing role of feedback during learning in decision-making.

Uta Sailer1, Simon Robinson, Florian Ph S Fischmeister, Ewald Moser, Ilse Kryspin-Exner, Herbert Bauer.   

Abstract

Learning from the outcome of decisions can be expected not only to change future decisions, but also our reaction to future outcomes. Using functional magnetic resonance imaging we investigated the neural responses of healthy subjects to feedback about choice outcomes before and after learning a response strategy which led to correct choices only. The task was designed so that losses were unavoidable even when all the choices made were correct. Subjects showed a distinct pattern of learning starting with an initial exploratory phase in which hypotheses about the correct strategy were generated and tested, followed by a phase of rapid strategy acquisition before reaching a final phase of proficiency. Neural activation was more pronounced during feedback processing in the exploratory phase than in the proficiency phase in a distributed network encompassing prefrontal and parietal areas as well as the striatum. These areas are involved in working memory processes, the management of uncertainty and the establishment of stimulus-outcome contingencies. Reduced activation during feedback processing following learning was not only observed within subjects across learning phases, but also between subjects with different learning speeds. Thus, controlled and automatic processing are characterised by differing amounts of activation in identical task-relevant areas. Furthermore, whereas the same brain regions coded for gains and losses, the activation following gains changed to a larger extent with learning than following losses. This suggests that positive prediction errors are more sensitive to increased reward predictability than are negative prediction errors.

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Year:  2007        PMID: 17698371     DOI: 10.1016/j.neuroimage.2007.07.012

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


  5 in total

Review 1.  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

2.  Woulda, coulda, shoulda: the evaluation and the impact of the alternative outcome.

Authors:  Ruolei Gu; Tingting Wu; Yang Jiang; Yue-Jia Luo
Journal:  Psychophysiology       Date:  2011-05-13       Impact factor: 4.016

3.  Levodopa and the feedback process on set-shifting in Parkinson's disease.

Authors:  Wing Lok Au; Juan Zhou; Paulito Palmes; Yih-Yian Sitoh; Louis Cs Tan; Jagath C Rajapakse
Journal:  Hum Brain Mapp       Date:  2011-03-24       Impact factor: 5.038

4.  The role of reward in dynamic decision making.

Authors:  Magda Osman
Journal:  Front Neurosci       Date:  2012-03-20       Impact factor: 4.677

5.  Cognitive Improvement and Brain Changes after Real-Time Functional MRI Neurofeedback Training in Healthy Elderly and Prodromal Alzheimer's Disease.

Authors:  Christian Hohenfeld; Nils Nellessen; Imis Dogan; Hanna Kuhn; Christine Müller; Federica Papa; Simon Ketteler; Rainer Goebel; Armin Heinecke; N Jon Shah; Jörg B Schulz; Martina Reske; Kathrin Reetz
Journal:  Front Neurol       Date:  2017-08-09       Impact factor: 4.003

  5 in total

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