Abstract:
:We are presented with choices each day about how to invest our effort to achieve our goals. Critically, these decisions must frequently be made under conditions of incomplete information, where either the effort required or possible reward to be gained is uncertain. Such choices therefore require the development of potential value estimates to guide effortful goal-directed behavior. To date, however, the neural mechanisms for this expectation process are unknown. Here, we used computational fMRI during an effort-based decision-making task where trial-wise information about effort costs and reward magnitudes was presented separately over time, thereby allowing us to model distinct effort/reward computations as choice-relevant information unfolded. We found that ventromedial prefrontal cortex (vmPFC) encoded expected subjective value. Further, activity in dorsal anterior cingulate (dACC) and anterior insula (aI) reflected both effort discounting as well as a subjective value prediction error signal derived from trial history. While prior studies have identified these regions as being involved in effort-based decision making, these data demonstrate their specific role in the formation and maintenance of subjective value estimates as relevant information becomes available.
journal_name
Proc Natl Acad Sci U S Aauthors
Arulpragasam AR,Cooper JA,Nuutinen MR,Treadway MTdoi
10.1073/pnas.1800444115subject
Has Abstractpub_date
2018-05-29 00:00:00pages
E5233-E5242issue
22eissn
0027-8424issn
1091-6490pii
1800444115journal_volume
115pub_type
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