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Individual Differences in Reward-Based Learning Predict Fluid Reasoning Abilities

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Title: Individual Differences in Reward-Based Learning Predict Fluid Reasoning Abilities
Language: English
Authors: Stocco, Andrea (ORCID 0000-0001-8919-3934), Prat, Chantel S., Graham, Lauren K.
Source: Cognitive Science. Feb 2021 45(2).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 42
Publication Date: 2021
Document Type: Journal Articles
Reports - Research
Descriptors: Individual Differences, Rewards, Abstract Reasoning, Problem Solving, Intelligence Tests, Attention, Feedback (Response), Brain, Cognitive Processes, Prediction, Reinforcement
Assessment and Survey Identifiers: Raven Advanced Progressive Matrices
DOI: 10.1111/cogs.12941
ISSN: 1551-6709
Abstract: The ability to reason and problem-solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real-world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self-generated feedback about progress. We propose that such an ability is underpinned by the basal ganglia nuclei, which are critically tied to both reward processing and cognitive control. This hypothesis was implemented in a neurocomputational model of the RAPM task, which was used to derive novel predictions at the behavioral and neural levels. These predictions were then verified in one neuroimaging and two behavioral experiments. Furthermore, an effective connectivity analysis of the neuroimaging data confirmed a role for the basal ganglia in modulating attention. Taken together, these results suggest that individual differences in a neural circuit related to reward processing underpin human fluid reasoning abilities.
Abstractor: As Provided
Notes: https://osf.io/3zqyk
Entry Date: 2021
Accession Number: EJ1288302
Database: ERIC
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  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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  Data: The ability to reason and problem-solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real-world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self-generated feedback about progress. We propose that such an ability is underpinned by the basal ganglia nuclei, which are critically tied to both reward processing and cognitive control. This hypothesis was implemented in a neurocomputational model of the RAPM task, which was used to derive novel predictions at the behavioral and neural levels. These predictions were then verified in one neuroimaging and two behavioral experiments. Furthermore, an effective connectivity analysis of the neuroimaging data confirmed a role for the basal ganglia in modulating attention. Taken together, these results suggest that individual differences in a neural circuit related to reward processing underpin human fluid reasoning abilities.
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