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Differential Monetary Rewards during Category Learning Result in Increased Activity across Corticostriatal Networks
  • +1
  • Carol Seger,
  • Jianping Chen,
  • Lixue Cai,
  • Zhiya Liu
Carol Seger
South China Normal University
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Jianping Chen
South China Normal University
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Lixue Cai
South China Normal University
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Zhiya Liu
South China Normal University

Corresponding Author:[email protected]

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Abstract

How is the presence of reward reflected in activity in the corticostriatal networks underlying human categorization? We examined how basal ganglia and corticostriatal network activity differed on trials in which participants received a reward for correct performance versus trials with no associated reward. Participants learned to categorize abstract fractal images as members of two different categories via trial and error with feedback. Images were associated with different monetary reward values (high, low, and none) which could be obtained by the participant for correct categorization. We found that neural activity in the caudate nucleus (head and body) and putamen was greater for rewarded stimuli in comparison with nonrewarded. In addition reward resulted in greater activity across the cortical regions underlying categorization, including areas of the intraparietal sulcus (IPS) associated with stimulus - response mapping, the frontoparietal salience network, and visual cortical areas associated with object and form processing. Reward effects were found both during early learning when stimuli were novel, and when participants categorized stimuli on which they had been extensively trained prior to the scan. These results have implications for understanding how reward and categorization are integrated in corticostriatal networks.
31 Jul 2024Submitted to European Journal of Neuroscience
02 Aug 2024Submission Checks Completed
02 Aug 2024Assigned to Editor
03 Aug 2024Review(s) Completed, Editorial Evaluation Pending
09 Aug 2024Reviewer(s) Assigned
16 Sep 2024Editorial Decision: Revise Major
10 Dec 20241st Revision Received
23 Dec 2024Submission Checks Completed
23 Dec 2024Assigned to Editor
23 Dec 2024Review(s) Completed, Editorial Evaluation Pending
23 Dec 2024Reviewer(s) Assigned