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Altered Function of Ventral Striatum during Reward-Based Decision Making in Old Age

Author

Listed:
  • Mell T
  • Wartenburger I
  • Marschner A
  • Villringer A
  • Reischies FM
  • Heekeren

Abstract

Normal aging is associated with a decline in different cognitive domains and local structural atrophy as well as decreases in dopamine concentration and receptor density. To date, it is largely unknown how these reductions in dopaminergic neurotransmission affect human brain regions responsible for reward-based decision making in older adults. Using a learning criterion in a probabilistic object reversal task, we found a learning stage by age interaction in the dorsolateral prefrontal cortex (dlPFC) during decision making. While young adults recruited the dlPFC in an early stage of learning reward associations, older adults recruited the dlPFC when reward associations had already been learned. Furthermore, we found a reduced change in ventral striatal BOLD signal in older as compared to younger adults in response to high probability rewards. Our data are in line with behavioral evidence that older adults show altered stimulus–reward learning and support the view of an altered fronto-striatal interaction during reward-based decision making in old age, which contributes to prolonged learning of reward associations.

Suggested Citation

  • Mell T & Wartenburger I & Marschner A & Villringer A & Reischies FM & Heekeren, 2009. "Altered Function of Ventral Striatum during Reward-Based Decision Making in Old Age," SFB 649 Discussion Papers SFB649DP2009-064, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  • Handle: RePEc:hum:wpaper:sfb649dp2009-064
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    File URL: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2009-064.pdf
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    Cited by:

    1. Brian Knutson & Gregory R Samanez-Larkin & Camelia M Kuhnen, 2011. "Gain and Loss Learning Differentially Contribute to Life Financial Outcomes," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-6, September.

    More about this item

    Keywords

    research performance; decision making; third-party funds; publications; citations; PVARX model;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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