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Related Experiment Videos

Aging and a genetic KIBRA polymorphism interactively affect feedback- and observation-based probabilistic

Nicolas W Schuck1, Jessica R Petok2, Martijn Meeter3

  • 1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA; Max Planck Research Group NeuroCode and Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.

Neurobiology of Aging
|October 17, 2017
PubMed

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Summary
This summary is machine-generated.

Aging impairs probabilistic category learning similarly across feedback and observational methods. The KIBRA gene influences older adults

Area of Science:

  • Neuroscience
  • Behavioral Genetics
  • Cognitive Aging

Background:

  • Probabilistic category learning relies on hippocampus-striatum interactions.
  • Aging's impact on these learning processes, especially with genetic influences, is not well understood.

Purpose of the Study:

  • To investigate age-related differences in probabilistic category learning via feedback versus observation.
  • To examine the role of the KIBRA gene (rs17070145) in these age-related effects.

Main Methods:

  • Compared learning performance in younger and older adults using feedback and observational tasks.
  • Analyzed the association between the KIBRA gene polymorphism and learning outcomes across age groups.

Main Results:

Keywords:
AgingHippocampusKIBRAProbabilistic classificationStriatumWeather prediction task

Related Experiment Videos

  • Both younger and older adults showed comparable impairments in observational and feedback learning.
  • The KIBRA gene's T-allele positively correlated with feedback learning but negatively with observational learning in older adults, with no effect in younger adults.

    • Conclusions:

    • Age-related differences in memory function are influenced by genetic factors like KIBRA.
    • Hippocampal and striatal contributions to category learning may differ with age and genetics, affecting memory decline.