Bayesian Prediction and Evaluation in the Anterior Cingulate Cortex
Identifieur interne : 002471 ( Ncbi/Merge ); précédent : 002470; suivant : 002472Bayesian Prediction and Evaluation in the Anterior Cingulate Cortex
Auteurs : Jaime S. Ide [États-Unis] ; Pradeep Shenoy [États-Unis] ; Angela J. Yu [États-Unis] ; Chiang-Shan R. Li [États-Unis]Source :
- The Journal of neuroscience : the official journal of the Society for Neuroscience [ 0270-6474 ] ; 2013.
Abstract
The dorsal anterior cingulate cortex (dACC) has been implicated in a variety of cognitive control functions, among them the monitoring of conflict, error, and volatility, error anticipation, reward learning, and reward prediction errors. In this work, we used a Bayesian ideal observer model, which predicts trial-by-trial probabilistic expectation of stop trials and response errors in the stop signal task, to differentiate these proposed functions quantitatively. We found that dACC hemodynamic response, as measured by functional magnetic resonance imaging, encodes both the absolute prediction error between stimulus expectation and outcome, and the signed prediction error related to response outcome. After accounting for these factors, dACC has no residual correlation with conflict or error likelihood in the stop-signal task. Consistent with recent monkey neural recording studies, and in contrast with other neuroimaging studies, our work demonstrates that dACC reports at least two different types of prediction errors, and beyond contexts that are limited to reward processing.
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DOI: 10.1523/JNEUROSCI.2201-12.2013
PubMed: 23365241
PubMed Central: 3711643
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Ide</name><affiliation wicri:level="2"><nlm:aff id="A1">Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Connecticut</region></placeName><wicri:cityArea>Department of Psychiatry, Yale University School of Medicine, New Haven</wicri:cityArea></affiliation></author><author><name sortKey="Shenoy, Pradeep" sort="Shenoy, Pradeep" uniqKey="Shenoy P" first="Pradeep" last="Shenoy">Pradeep Shenoy</name><affiliation wicri:level="2"><nlm:aff id="A2">Department of Cognitive Science, University of California, San Diego, La Jolla, CA 92093</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Department of Cognitive Science, University of California, San Diego, La Jolla</wicri:cityArea></affiliation></author><author><name sortKey="Yu, Angela J" sort="Yu, Angela J" uniqKey="Yu A" first="Angela J." last="Yu">Angela J. 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Ide</name><affiliation wicri:level="2"><nlm:aff id="A1">Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Connecticut</region></placeName><wicri:cityArea>Department of Psychiatry, Yale University School of Medicine, New Haven</wicri:cityArea></affiliation></author><author><name sortKey="Shenoy, Pradeep" sort="Shenoy, Pradeep" uniqKey="Shenoy P" first="Pradeep" last="Shenoy">Pradeep Shenoy</name><affiliation wicri:level="2"><nlm:aff id="A2">Department of Cognitive Science, University of California, San Diego, La Jolla, CA 92093</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Department of Cognitive Science, University of California, San Diego, La Jolla</wicri:cityArea></affiliation></author><author><name sortKey="Yu, Angela J" sort="Yu, Angela J" uniqKey="Yu A" first="Angela J." last="Yu">Angela J. Yu</name><affiliation wicri:level="2"><nlm:aff id="A2">Department of Cognitive Science, University of California, San Diego, La Jolla, CA 92093</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Californie</region></placeName><wicri:cityArea>Department of Cognitive Science, University of California, San Diego, La Jolla</wicri:cityArea></affiliation></author><author><name sortKey="Li, Chiang Shan R" sort="Li, Chiang Shan R" uniqKey="Li C" first="Chiang-Shan R." last="Li">Chiang-Shan R. Li</name><affiliation wicri:level="2"><nlm:aff id="A1">Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Connecticut</region></placeName><wicri:cityArea>Department of Psychiatry, Yale University School of Medicine, New Haven</wicri:cityArea></affiliation><affiliation wicri:level="2"><nlm:aff id="A3">Department of Neurobiology, Yale University School of Medicine, New Haven, CT 06520</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Connecticut</region></placeName><wicri:cityArea>Department of Neurobiology, Yale University School of Medicine, New Haven</wicri:cityArea></affiliation><affiliation wicri:level="2"><nlm:aff id="A4">Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT 06520</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Connecticut</region></placeName><wicri:cityArea>Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven</wicri:cityArea></affiliation></author></analytic><series><title level="j">The Journal of neuroscience : the official journal of the Society for Neuroscience</title><idno type="ISSN">0270-6474</idno><idno type="eISSN">1529-2401</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P2">The dorsal anterior cingulate cortex (dACC) has been implicated in a variety of cognitive control functions, among them the monitoring of conflict, error, and volatility, error anticipation, reward learning, and reward prediction errors. In this work, we used a Bayesian ideal observer model, which predicts trial-by-trial probabilistic expectation of stop trials and response errors in the stop signal task, to differentiate these proposed functions quantitatively. We found that dACC hemodynamic response, as measured by functional magnetic resonance imaging, encodes both the absolute prediction error between stimulus expectation and outcome, and the signed prediction error related to response outcome. After accounting for these factors, dACC has no residual correlation with conflict or error likelihood in the stop-signal task. Consistent with recent monkey neural recording studies, and in contrast with other neuroimaging studies, our work demonstrates that dACC reports at least two different types of prediction errors, and beyond contexts that are limited to reward processing.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">8102140</journal-id><journal-id journal-id-type="pubmed-jr-id">5035</journal-id><journal-id journal-id-type="nlm-ta">J Neurosci</journal-id><journal-id journal-id-type="iso-abbrev">J. Neurosci.</journal-id><journal-title-group><journal-title>The Journal of neuroscience : the official journal of the Society for Neuroscience</journal-title></journal-title-group><issn pub-type="ppub">0270-6474</issn><issn pub-type="epub">1529-2401</issn></journal-meta><article-meta><article-id pub-id-type="pmid">23365241</article-id><article-id pub-id-type="pmc">3711643</article-id><article-id pub-id-type="doi">10.1523/JNEUROSCI.2201-12.2013</article-id><article-id pub-id-type="manuscript">NIHMS441336</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Bayesian Prediction and Evaluation in the Anterior Cingulate Cortex</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Ide</surname><given-names>Jaime S.</given-names></name><xref ref-type="aff" rid="A1">*</xref></contrib><contrib contrib-type="author"><name><surname>Shenoy</surname><given-names>Pradeep</given-names></name><xref ref-type="aff" rid="A2">^</xref></contrib><contrib contrib-type="author"><name><surname>Yu</surname><given-names>Angela J.</given-names></name><xref ref-type="aff" rid="A2">^</xref></contrib><contrib contrib-type="author"><name><surname>Li</surname><given-names>Chiang-shan R.</given-names></name><xref ref-type="aff" rid="A1">*</xref><xref ref-type="aff" rid="A3">†</xref><xref ref-type="aff" rid="A4">‡</xref><xref ref-type="corresp" rid="CR1">§</xref></contrib></contrib-group><aff id="A1"><label>*</label>Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06519</aff><aff id="A2"><label>^</label>Department of Cognitive Science, University of California, San Diego, La Jolla, CA 92093</aff><aff id="A3"><label>†</label>Department of Neurobiology, Yale University School of Medicine, New Haven, CT 06520</aff><aff id="A4"><label>‡</label>Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT 06520</aff><author-notes><fn fn-type="equal" id="FN1"><p id="P1">Note: Dr. Yu and Li contributed equally to the work as senior authors.</p></fn><corresp id="CR1"><label>§</label>Address correspondence to: Prof. Angela J. Yu Department of Cognitive Science MC 0515 University of California, San Diego 9500 Gilman Drive 92093-0515 La Jolla, CA 92103 Phone: 858-822-3317 <email>ajyu@ucsd.edu</email> OR Chiang-shan Ray Li, M.D., Ph.D. Connecticut Mental Health Center, S112 34 Park Street New Haven, CT 06519 Phone: 203-974-7354 FAX: 203-974-7076 <email>chiang-shan.li@yale.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>5</day><month>2</month><year>2013</year></pub-date><pub-date pub-type="ppub"><day>30</day><month>1</month><year>2013</year></pub-date><pub-date pub-type="pmc-release"><day>30</day><month>7</month><year>2013</year></pub-date><volume>33</volume><issue>5</issue><fpage>2039</fpage><lpage>2047</lpage><abstract><p id="P2">The dorsal anterior cingulate cortex (dACC) has been implicated in a variety of cognitive control functions, among them the monitoring of conflict, error, and volatility, error anticipation, reward learning, and reward prediction errors. In this work, we used a Bayesian ideal observer model, which predicts trial-by-trial probabilistic expectation of stop trials and response errors in the stop signal task, to differentiate these proposed functions quantitatively. We found that dACC hemodynamic response, as measured by functional magnetic resonance imaging, encodes both the absolute prediction error between stimulus expectation and outcome, and the signed prediction error related to response outcome. After accounting for these factors, dACC has no residual correlation with conflict or error likelihood in the stop-signal task. Consistent with recent monkey neural recording studies, and in contrast with other neuroimaging studies, our work demonstrates that dACC reports at least two different types of prediction errors, and beyond contexts that are limited to reward processing.</p></abstract><kwd-group><kwd>cognitive control</kwd><kwd>Bayesian surprise</kwd><kwd>prediction error</kwd><kwd>fMRI</kwd><kwd>ACC</kwd></kwd-group><funding-group><award-group><funding-source country="United States">National Institute on Drug Abuse : NIDA</funding-source><award-id>R21 DA026998 || DA</award-id></award-group><award-group><funding-source country="United States">National Institute on Alcohol Abuse and Alcoholism : NIAAA</funding-source><award-id>R21 AA018004 || AA</award-id></award-group><award-group><funding-source country="United States">National Institute on Drug Abuse : NIDA</funding-source><award-id>R01 DA023248 || DA</award-id></award-group><award-group><funding-source country="United States">National Institute on Drug Abuse : NIDA</funding-source><award-id>K02 DA026990 || DA</award-id></award-group></funding-group></article-meta></front></pmc><affiliations><list><country><li>États-Unis</li></country><region><li>Californie</li><li>Connecticut</li></region></list><tree><country name="États-Unis"><region name="Connecticut"><name sortKey="Ide, Jaime S" sort="Ide, Jaime S" uniqKey="Ide J" first="Jaime S." last="Ide">Jaime S. Ide</name></region><name sortKey="Li, Chiang Shan R" sort="Li, Chiang Shan R" uniqKey="Li C" first="Chiang-Shan R." last="Li">Chiang-Shan R. Li</name><name sortKey="Li, Chiang Shan R" sort="Li, Chiang Shan R" uniqKey="Li C" first="Chiang-Shan R." last="Li">Chiang-Shan R. Li</name><name sortKey="Li, Chiang Shan R" sort="Li, Chiang Shan R" uniqKey="Li C" first="Chiang-Shan R." last="Li">Chiang-Shan R. Li</name><name sortKey="Shenoy, Pradeep" sort="Shenoy, Pradeep" uniqKey="Shenoy P" first="Pradeep" last="Shenoy">Pradeep Shenoy</name><name sortKey="Yu, Angela J" sort="Yu, Angela J" uniqKey="Yu A" first="Angela J." last="Yu">Angela J. Yu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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