Literature DB >> 29032191

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

Nicolas W Schuck1, Jessica R Petok2, Martijn Meeter3, Brit-Maren M Schjeide4, Julia Schröder5, Lars Bertram6, Mark A Gluck7, Shu-Chen Li8.   

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.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Hippocampus; KIBRA; Probabilistic classification; Striatum; Weather prediction task

Mesh:

Substances:

Year:  2017        PMID: 29032191      PMCID: PMC5705462          DOI: 10.1016/j.neurobiolaging.2017.08.026

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  69 in total

1.  Neural mechanisms underlying probabilistic category learning in normal aging.

Authors:  Francesco Fera; Thomas W Weickert; Terry E Goldberg; Alessandro Tessitore; Ahmad Hariri; Sumitra Das; Sam Lee; Brad Zoltick; Martijn Meeter; Catherine E Myers; Mark A Gluck; Daniel R Weinberger; Venkata S Mattay
Journal:  J Neurosci       Date:  2005-12-07       Impact factor: 6.167

Review 2.  Basal ganglia and dopamine contributions to probabilistic category learning.

Authors:  D Shohamy; C E Myers; J Kalanithi; M A Gluck
Journal:  Neurosci Biobehav Rev       Date:  2007-08-10       Impact factor: 8.989

3.  The effects of aging on the neural basis of implicit associative learning in a probabilistic triplets learning task.

Authors:  Jessica R Simon; Chandan J Vaidya; James H Howard; Darlene V Howard
Journal:  J Cogn Neurosci       Date:  2011-08-23       Impact factor: 3.225

4.  Dopamine transporter genotype predicts implicit sequence learning.

Authors:  Jessica R Simon; Melanie Stollstorff; Lauren C Westbay; Chandan J Vaidya; James H Howard; Darlene V Howard
Journal:  Behav Brain Res       Date:  2010-09-08       Impact factor: 3.332

5.  KIBRA: A New Gateway to Learning and Memory?

Authors:  Armin Schneider; Matthew J Huentelman; Joachim Kremerskothen; Kerstin Duning; Robert Spoelgen; Karoly Nikolich
Journal:  Front Aging Neurosci       Date:  2010-02-12       Impact factor: 5.750

6.  Implicit learning of predictive relationships in three-element visual sequences by young and old adults.

Authors:  James H Howard; Darlene V Howard; Nancy A Dennis; Andrew J Kelly
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2008-09       Impact factor: 3.051

Review 7.  Episodic memory across the lifespan: the contributions of associative and strategic components.

Authors:  Yee Lee Shing; Markus Werkle-Bergner; Yvonne Brehmer; Viktor Müller; Shu-Chen Li; Ulman Lindenberger
Journal:  Neurosci Biobehav Rev       Date:  2009-11-06       Impact factor: 8.989

8.  Cortico-striatal contributions to feedback-based learning: converging data from neuroimaging and neuropsychology.

Authors:  D Shohamy; C E Myers; S Grossman; J Sage; M A Gluck; R A Poldrack
Journal:  Brain       Date:  2004-03-10       Impact factor: 13.501

9.  Aging and KIBRA/WWC1 genotype affect spatial memory processes in a virtual navigation task.

Authors:  Nicolas W Schuck; Christian F Doeller; Brit-Maren M Schjeide; Julia Schröder; Peter A Frensch; Lars Bertram; Shu-Chen Li
Journal:  Hippocampus       Date:  2013-06-26       Impact factor: 3.899

10.  KIBRA genetic polymorphism influences episodic memory in later life, but does not increase the risk of mild cognitive impairment.

Authors:  O P Almeida; S G Schwab; N T Lautenschlager; B Morar; K R Greenop; L Flicker; D Wildenauer
Journal:  J Cell Mol Med       Date:  2008-01-11       Impact factor: 5.310

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  1 in total

1.  Age-Related Decline in Learning Deterministic Judgment-Based Sequences.

Authors:  Layla Dang; Sylvia P Larson; Mark A Gluck; Jessica R Petok
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2020-04-16       Impact factor: 4.077

  1 in total

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