Predictive neural coding of reward preference involves dissociable responses in human ventral midbrain and ventral striatum

Food preferences are acquired through experience and can exert strong influence on choice behavior. In order to choose which food to consume, it is necessary to maintain a predictive representation of the subjective value of the associated food stimulus. Here, we explore the neural mechanisms by whi...

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Veröffentlicht in:	Neuron (Cambridge, Mass.) Jg. 49; H. 1; S. 157
Hauptverfasser:	O'Doherty, John P, Buchanan, Tony W, Seymour, Ben, Dolan, Raymond J
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 05.01.2006
Schlagworte:	Adult Algorithms Cerebral Cortex - physiology Corpus Striatum - physiology Cues Female Food Preferences - physiology Humans Linear Models Magnetic Resonance Imaging Male Mesencephalon - physiology Models, Neurological Pupil Reaction Time Reward Taste - physiology
ISSN:	0896-6273
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Abstract	Food preferences are acquired through experience and can exert strong influence on choice behavior. In order to choose which food to consume, it is necessary to maintain a predictive representation of the subjective value of the associated food stimulus. Here, we explore the neural mechanisms by which such predictive representations are learned through classical conditioning. Human subjects were scanned using fMRI while learning associations between arbitrary visual stimuli and subsequent delivery of one of five different food flavors. Using a temporal difference algorithm to model learning, we found predictive responses in the ventral midbrain and a part of ventral striatum (ventral putamen) that were related directly to subjects' actual behavioral preferences. These brain structures demonstrated divergent response profiles, with the ventral midbrain showing a linear response profile with preference, and the ventral striatum a bivalent response. These results provide insight into the neural mechanisms underlying human preference behavior.
AbstractList	Food preferences are acquired through experience and can exert strong influence on choice behavior. In order to choose which food to consume, it is necessary to maintain a predictive representation of the subjective value of the associated food stimulus. Here, we explore the neural mechanisms by which such predictive representations are learned through classical conditioning. Human subjects were scanned using fMRI while learning associations between arbitrary visual stimuli and subsequent delivery of one of five different food flavors. Using a temporal difference algorithm to model learning, we found predictive responses in the ventral midbrain and a part of ventral striatum (ventral putamen) that were related directly to subjects' actual behavioral preferences. These brain structures demonstrated divergent response profiles, with the ventral midbrain showing a linear response profile with preference, and the ventral striatum a bivalent response. These results provide insight into the neural mechanisms underlying human preference behavior.Food preferences are acquired through experience and can exert strong influence on choice behavior. In order to choose which food to consume, it is necessary to maintain a predictive representation of the subjective value of the associated food stimulus. Here, we explore the neural mechanisms by which such predictive representations are learned through classical conditioning. Human subjects were scanned using fMRI while learning associations between arbitrary visual stimuli and subsequent delivery of one of five different food flavors. Using a temporal difference algorithm to model learning, we found predictive responses in the ventral midbrain and a part of ventral striatum (ventral putamen) that were related directly to subjects' actual behavioral preferences. These brain structures demonstrated divergent response profiles, with the ventral midbrain showing a linear response profile with preference, and the ventral striatum a bivalent response. These results provide insight into the neural mechanisms underlying human preference behavior. Food preferences are acquired through experience and can exert strong influence on choice behavior. In order to choose which food to consume, it is necessary to maintain a predictive representation of the subjective value of the associated food stimulus. Here, we explore the neural mechanisms by which such predictive representations are learned through classical conditioning. Human subjects were scanned using fMRI while learning associations between arbitrary visual stimuli and subsequent delivery of one of five different food flavors. Using a temporal difference algorithm to model learning, we found predictive responses in the ventral midbrain and a part of ventral striatum (ventral putamen) that were related directly to subjects' actual behavioral preferences. These brain structures demonstrated divergent response profiles, with the ventral midbrain showing a linear response profile with preference, and the ventral striatum a bivalent response. These results provide insight into the neural mechanisms underlying human preference behavior.
Author	Dolan, Raymond J O'Doherty, John P Seymour, Ben Buchanan, Tony W
Author_xml	– sequence: 1 givenname: John P surname: O'Doherty fullname: O'Doherty, John P email: jdoherty@hss.caltech.edu organization: Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College London, London WC1N 3BG, UK. jdoherty@hss.caltech.edu – sequence: 2 givenname: Tony W surname: Buchanan fullname: Buchanan, Tony W – sequence: 3 givenname: Ben surname: Seymour fullname: Seymour, Ben – sequence: 4 givenname: Raymond J surname: Dolan fullname: Dolan, Raymond J
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/16387647$$D View this record in MEDLINE/PubMed
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SubjectTerms	Adult Algorithms Cerebral Cortex - physiology Corpus Striatum - physiology Cues Female Food Preferences - physiology Humans Linear Models Magnetic Resonance Imaging Male Mesencephalon - physiology Models, Neurological Pupil Reaction Time Reward Taste - physiology
Title	Predictive neural coding of reward preference involves dissociable responses in human ventral midbrain and ventral striatum
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