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.
Original language | English |
---|---|
Pages (from-to) | 36-43 |
Number of pages | 8 |
Journal | Neurobiology of Aging |
Volume | 61 |
Early online date | 5 Sept 2017 |
DOIs | |
Publication status | Published - 1 Jan 2018 |
Funding
This study was conducted within the Neuromodulation of Lifespan Cognition Project (2006–2012), Centre for Lifespan Psychology, Max Planck Institute for Human Development, and was supported by the Max Planck Society, including a grant from the innovation fund M.FE-.ABild0006 . NWS was supported by the International Max Planck Research School LIFE. SCL's research is supported by the German Ministry for Education and Research (BMBF 01GQ091, 01GQ1313) and LB's research by BMBF grant 16SV5538 (to LB). JRP and MAG were supported by NIA/NIH grants R03AG044610-01A1 and 1R56-AG053961. MM benefited from Vidi grant 452-09-007 from the Dutch Science Foundation NWO. The authors thank Miriam Balt, Hilda Hohl, Martin Maier, Julia Rodriguez, and Katharina Wermuth for assistance with the data acquisition. Appendix A
Funders | Funder number |
---|---|
Dutch science foundation NWO | |
International Max Planck Research School LIFE | |
National Institutes of Health | 452-09-007, 1R56-AG053961 |
National Institute on Aging | R03AG044610 |
Bundesministerium für Bildung und Forschung | 01GQ1313, 01GQ091, 16SV5538 |
Max-Planck-Gesellschaft | ABild0006 |
Max-Planck-Institut für Bildungsforschung |
Keywords
- Aging
- Hippocampus
- KIBRA
- Probabilistic classification
- Striatum
- Weather prediction task