Human Midbrain Sensitivity to Cognitive Feedback and Uncertainty During Classification Learning

1 Department of Psychology and Brain Research Institute, University of California, Los Angeles, California 90065; 2 Center for Molecular and Behavioral Neuroscience and 4 Department of Psychology, Rutgers University, New Brunswick, New Jersey 08903; and 3 Martinos Center for Biomedical Imaging, Mass...

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Published inJournal of neurophysiology Vol. 92; no. 2; pp. 1144 - 1152
Main Authors Aron, A. R, Shohamy, D, Clark, J, Myers, C, Gluck, M. A, Poldrack, R. A
Format Journal Article
LanguageEnglish
Published United States Am Phys Soc 01.08.2004
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Abstract 1 Department of Psychology and Brain Research Institute, University of California, Los Angeles, California 90065; 2 Center for Molecular and Behavioral Neuroscience and 4 Department of Psychology, Rutgers University, New Brunswick, New Jersey 08903; and 3 Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Massachusetts 02129 Submitted 15 December 2003; accepted in final form 6 March 2004 Mesencephalic dopaminergic system (MDS) neurons may participate in learning by providing a prediction error signal to their targets, which include ventral striatal, orbital, and medial frontal regions, as well as by showing sensitivity to the degree of uncertainty associated with individual stimuli. We investigated the mechanisms of probabilistic classification learning in humans using functional magnetic resonance imaging to examine the effects of feedback and uncertainty. The design was optimized for separating neural responses to stimulus, delay, and negative and positive feedback components. Compared with fixation, stimulus and feedback activated brain regions consistent with the MDS, whereas the delay period did not. Midbrain activity was significantly different for negative versus positive feedback (consistent with coding of the "prediction error") and was reliably correlated with the degree of uncertainty as well as with activity in MDS target regions. Purely cognitive feedback apparently engages the same regions as rewarding stimuli, consistent with a broader characterization of this network. Address for reprint requests and other correspondence: R. A. Poldrack, Dept. of Psychology and Brain Research Institute, University of California, Los Angeles, CA 90065 (E-mail: poldrack{at}ucla.edu ).
AbstractList 1 Department of Psychology and Brain Research Institute, University of California, Los Angeles, California 90065; 2 Center for Molecular and Behavioral Neuroscience and 4 Department of Psychology, Rutgers University, New Brunswick, New Jersey 08903; and 3 Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Massachusetts 02129 Submitted 15 December 2003; accepted in final form 6 March 2004 Mesencephalic dopaminergic system (MDS) neurons may participate in learning by providing a prediction error signal to their targets, which include ventral striatal, orbital, and medial frontal regions, as well as by showing sensitivity to the degree of uncertainty associated with individual stimuli. We investigated the mechanisms of probabilistic classification learning in humans using functional magnetic resonance imaging to examine the effects of feedback and uncertainty. The design was optimized for separating neural responses to stimulus, delay, and negative and positive feedback components. Compared with fixation, stimulus and feedback activated brain regions consistent with the MDS, whereas the delay period did not. Midbrain activity was significantly different for negative versus positive feedback (consistent with coding of the "prediction error") and was reliably correlated with the degree of uncertainty as well as with activity in MDS target regions. Purely cognitive feedback apparently engages the same regions as rewarding stimuli, consistent with a broader characterization of this network. Address for reprint requests and other correspondence: R. A. Poldrack, Dept. of Psychology and Brain Research Institute, University of California, Los Angeles, CA 90065 (E-mail: poldrack{at}ucla.edu ).
Mesencephalic dopaminergic system (MDS) neurons may participate in learning by providing a prediction error signal to their targets, which include ventral striatal, orbital, and medial frontal regions, as well as by showing sensitivity to the degree of uncertainty associated with individual stimuli. We investigated the mechanisms of probabilistic classification learning in humans using functional magnetic resonance imaging to examine the effects of feedback and uncertainty. The design was optimized for separating neural responses to stimulus, delay, and negative and positive feedback components. Compared with fixation, stimulus and feedback activated brain regions consistent with the MDS, whereas the delay period did not. Midbrain activity was significantly different for negative versus positive feedback (consistent with coding of the “prediction error”) and was reliably correlated with the degree of uncertainty as well as with activity in MDS target regions. Purely cognitive feedback apparently engages the same regions as rewarding stimuli, consistent with a broader characterization of this network.
Author Clark, J
Poldrack, R. A
Shohamy, D
Myers, C
Gluck, M. A
Aron, A. R
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  fullname: Gluck, M. A
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Snippet 1 Department of Psychology and Brain Research Institute, University of California, Los Angeles, California 90065; 2 Center for Molecular and Behavioral...
Mesencephalic dopaminergic system (MDS) neurons may participate in learning by providing a prediction error signal to their targets, which include ventral...
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SubjectTerms Adult
Brain - physiology
Brain Mapping
Cognition - physiology
Entropy
Feedback
Female
Humans
Magnetic Resonance Imaging
Male
Mesencephalon - blood supply
Mesencephalon - physiology
Oxygen - blood
Probability Learning
Uncertainty
Title Human Midbrain Sensitivity to Cognitive Feedback and Uncertainty During Classification Learning
URI http://jn.physiology.org/cgi/content/abstract/92/2/1144
https://www.ncbi.nlm.nih.gov/pubmed/15014103
https://search.proquest.com/docview/17850796
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Volume 92
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