Literature DB >> 22131418

Parietal cortex and insula relate to evidence seeking relevant to reward-related decisions.

Nicholas Furl1, Bruno B Averbeck.   

Abstract

Decisions are most effective after collecting sufficient evidence to accurately predict rewarding outcomes. We investigated whether human participants optimally seek evidence and we characterized the brain areas associated with their evidence seeking. Participants viewed sequences of bead colors drawn from hidden urns and attempted to infer the majority bead color in each urn. When viewing each bead color, participants chose either to seek more evidence about the urn by drawing another bead (draw choices) or to infer the urn contents (urn choices). We then compared their evidence seeking against that predicted by a Bayesian ideal observer model. By this standard, participants sampled less evidence than optimal. Also, when faced with urns that had bead color splits closer to chance (60/40 versus 80/20) or potential monetary losses, participants increased their evidence seeking, but they showed less increase than predicted by the ideal observer model. Functional magnetic resonance imaging showed that urn choices evoked larger hemodynamic responses than draw choices in the insula, striatum, anterior cingulate, and parietal cortex. These parietal responses were greater for participants who sought more evidence on average and for participants who increased more their evidence seeking when draws came from 60/40 urns. The parietal cortex and insula were associated with potential monetary loss. Insula responses also showed modulation with estimates of the expected gains of urn choices. Our findings show that participants sought less evidence than predicted by an ideal observer model and their evidence-seeking behavior may relate to responses in the insula and parietal cortex.

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Mesh:

Year:  2011        PMID: 22131418      PMCID: PMC3474936          DOI: 10.1523/JNEUROSCI.4236-11.2011

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  28 in total

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