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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • N.W. Schuck - , Max Planck UCL Centre for Computational Psychiatry and Aging Research, Princeton University (Autor:in)
  • J.R. Petok - , Rutgers - The State University of New Jersey, Newark (Autor:in)
  • M. Meeter - , Vrije Universiteit Amsterdam (VU) (Autor:in)
  • B.-M.M. Schjeide - , Max Planck Institut für Molekulare Genetik (Autor:in)
  • J. Schröder - , Max Planck Institute for Human Development, Max Planck Institut für Molekulare Genetik (Autor:in)
  • L. Bertram - , Max Planck Institut für Molekulare Genetik, Universität zu Lübeck, Imperial College London (Autor:in)
  • M.A. Gluck - , Rutgers - The State University of New Jersey, Newark (Autor:in)
  • S.-C. Li - , Professur für Entwicklungspsychologie und Neurowissenschaft der Lebensspanne (Livespan Developmental Neuroscience), Max Planck Institute for Human Development (Autor:in)

Abstract

Probabilistic category learning involves complex interactions between the hippocampus and striatum that may depend on whether acquisition occurs via feedback or observation. Little is known about how healthy aging affects these processes. We tested whether age-related behavioral differences in probabilistic category learning from feedback or observation depend on a genetic factor known to influence individual differences in hippocampal function, the KIBRA gene (single nucleotide polymorphism rs17070145). Results showed comparable age-related performance impairments in observational as well as feedback-based learning. Moreover, genetic analyses indicated an age-related interactive effect of KIBRA on learning: among older adults, the beneficial T-allele was positively associated with learning from feedback, but negatively with learning from observation. In younger adults, no effects of KIBRA were found. Our results add behavioral genetic evidence to emerging data showing age-related differences in how neural resources relate to memory functions, namely that hippocampal and striatal contributions to probabilistic category learning may vary with age. Our findings highlight the effects genetic factors can have on differential age-related decline of different memory functions.

Details

OriginalspracheEnglisch
Seiten (von - bis)36-43
Seitenumfang8
FachzeitschriftNeurobiology of aging
Jahrgang61
PublikationsstatusVeröffentlicht - 2018
Peer-Review-StatusJa

Externe IDs

Scopus 85034812917

Schlagworte