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Aging alters brain function, shifting how older adults process risk and value. This study reveals changes in neural pathways that lead to increased risk-taking in older individuals.

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Area of Science:

  • Neuroscience
  • Cognitive Aging
  • Decision Science

Background:

  • Optimal investment choices depend on neural value representation and decision strategies.
  • Human aging affects neural selectivity and control in brain regions crucial for decision-making.
  • The precise neural mechanisms linking age-related brain changes to value processing in older adults are not fully understood.

Purpose of the Study:

  • To investigate how age-related functional brain changes modulate value processing during decision-making.
  • To identify neural differences in processing lottery choices between young and older adults.
  • To explore the relationship between neural activity, functional connectivity, and risk-taking behavior in aging.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) during a lottery-choice task.
  • Comparison of neural responses in young and older adults to varying probabilities and magnitudes of winning.
  • Analysis of resting-state and task-based functional connectivity between brain regions.

Main Results:

  • Young adults showed striatal responses modulated by winning probability, while older adults showed medial temporal and ventromedial prefrontal cortex modulation.
  • Older adults exhibited increased prefrontal cortex activity for unfavorable stakes, mediating higher risk-taking.
  • Reduced baseline frontostriatal connectivity predicted increased task-related risk-taking, mediated by enhanced prefrontal-medial temporal connectivity in older adults.

Conclusions:

  • Aging induces systemic neural changes in processing probabilistic value, leading to increased risk-taking of unfavorable stakes in older adults.
  • Altered neural processing of probability and value with age impacts decision-making strategies.
  • Individual differences in frontostriatal communication may be key to age-related differences in value-based decision neural processing and behavior.