Literature DB >> 27167399

Neural Mechanisms Underlying Compensatory and Noncompensatory Strategies in Risky Choice.

Anna C K Van Duijvenvoorde1,2,3, Bernd Figner4, Wouter D Weeda2,3, Maurits W Van der Molen1, Brenda R J Jansen1,4,5, Hilde M Huizenga1,4,5.   

Abstract

Individuals may differ systematically in their applied decision strategies, which has critical implications for decision neuroscience but is yet scarcely studied. Our study's main focus was therefore to investigate the neural mechanisms underlying compensatory versus noncompensatory strategies in risky choice. Here, we compared people using a compensatory expected value maximization with people using a simplified noncompensatory loss-minimizing choice strategy. To this end, we used a two-choice paradigm including a set of "simple" items (e.g., simple condition), in which one option was superior on all attributes, and a set of "conflict" items, in which one option was superior on one attribute but inferior on other attributes. A binomial mixture analysis of the decisions elicited by these items differentiated between decision-makers using either a compensatory or a noncompensatory strategy. Behavioral differences were particularly pronounced in the conflict condition, and these were paralleled by neural results. That is, we expected compensatory decision-makers to use an integrated value comparison during choice in the conflict condition. Accordingly, the compensatory group tracked the difference in expected value between choice options reflected in neural activation in the parietal cortex. Furthermore, we expected noncompensatory, compared with compensatory, decision-makers to experience increased conflict when attributes provided conflicting information. Accordingly, the noncompensatory group showed greater dorsomedial PFC activation only in the conflict condition. These pronounced behavioral and neural differences indicate the need for decision neuroscience to account for individual differences in risky choice strategies and to broaden its scope to noncompensatory risky choice strategies.

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Year:  2016        PMID: 27167399     DOI: 10.1162/jocn_a_00975

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  2 in total

Review 1.  Computational neuroscience across the lifespan: Promises and pitfalls.

Authors:  Wouter van den Bos; Rasmus Bruckner; Matthew R Nassar; Rui Mata; Ben Eppinger
Journal:  Dev Cogn Neurosci       Date:  2017-10-13       Impact factor: 6.464

2.  Neural tracking of subjective value under riskand ambiguity in adolescence.

Authors:  Neeltje E Blankenstein; Anna C K van Duijvenvoorde
Journal:  Cogn Affect Behav Neurosci       Date:  2019-12       Impact factor: 3.282

  2 in total

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