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Partial integration of the components of value in anterior cingulate cortex.
Author(s) -
Habiba Azab,
Benjamin Y. Hayden
Publication year - 2020
Publication title -
behavioral neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.918
H-Index - 140
eISSN - 1939-0084
pISSN - 0735-7044
DOI - 10.1037/bne0000382
Subject(s) - anterior cingulate cortex , neuroscience , cingulate cortex , psychology , value (mathematics) , cognitive psychology , central nervous system , cognition , computer science , machine learning
Evaluation often involves integrating multiple determinants of value, such as the different possible outcomes in risky choice. A brain region can be placed either before or after a presumed evaluation stage by measuring how responses of its neurons depend on multiple determinants of value. A brain region could also, in principle, show partial integration, which would indicate that it occupies a middle position between (preevaluative) nonintegration and (postevaluative) full integration. Existing mathematical techniques cannot distinguish full from partial integration and therefore risk misidentifying regional function. Here we use a new Bayesian regression-based approach to analyze responses of neurons in dorsal anterior cingulate cortex (dACC) to risky offers. We find that dACC neurons only partially integrate across outcome dimensions, indicating that dACC cannot be assigned to either a pre- or postevaluative position. Neurons in dACC also show putative signatures of value comparison, thereby demonstrating that comparison does not require complete evaluation before proceeding. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

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