Evidence map›Paper›PMID 29032191›Full record

ArticleNeurobiology of aging2018

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

Nicolas W Schuck, Jessica R Petok, Martijn Meeter, Brit-Maren M Schjeide, Julia Schröder, Lars Bertram, Mark A Gluck, Shu-Chen Li

Open access · bronzeAbstract read
In one paragraph

Article in Neurobiology of aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Age-Related Decline in Learning Deterministic Judgment-Based Sequences.The journals of gerontology. Series B, Psychological sciences and social sciences · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 4 countries.

Nicolas W SchuckPrinceton 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. Electronic address: schuck@mpib-berlin.mpg.de.
Jessica R PetokCenter for Molecular and Behavioral Neuroscience, Rutgers University-Newark, Newark, NJ, USA; Department of Psychology, Saint Olaf College, Northfield, MN, USA. Electronic address: petok@stolaf.edu.
Martijn MeeterDepartment of Cognitive Psychology, VU University, Amsterdam, the Netherlands.
Brit-Maren M SchjeideDepartment of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Neuropsychiatric Genetics Group, Berlin, Germany.
Julia SchröderMax Planck Research Group NeuroCode and Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Neuropsychiatric Genetics Group, Berlin, Germany.
Lars BertramDepartment of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Neuropsychiatric Genetics Group, Berlin, Germany; Platform for Genome Analytics, Institutes of Neurogenetics and Integrative & Experimental Genomics, University of Lübeck, Lübeck, Germany; Neuroepidemiology and Ageing Research Unit, School of Public Health, Faculty of Medicine, The Imperial College of Science, Technology, and Medicine, London, UK.
Mark A GluckCenter for Molecular and Behavioral Neuroscience, Rutgers University-Newark, Newark, NJ, USA.
Shu-Chen LiMax Planck Research Group NeuroCode and Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Technische Universität Dresden, Department of Psychology, Chair of Lifespan Developmental Neuroscience, Dresden, Germany.
Max Planck Institute for Molecular Genetics · DEMax Planck Institute for Human Development · DEPrinceton University · USRutgers, The State University of New Jersey · USSt. Olaf College · USUniversity of Lübeck · DEVrije Universiteit Amsterdam · NL

Funding

Pathways to Brain Health for African Americans: A Community-Based Participatory Research StudyR56AG053961 · NIA · RUTGERS THE STATE UNIV OF NJ NEWARK · PI GLUCK, MARK A · 2016 to 2016
$583k
Effect of genetics on reward learning and generalization of associations in agingR03AG044610 · NIA · RUTGERS THE STATE UNIV OF NJ NEWARK · PI GLUCK, MARK A, SIMON, JESSICA ROSE · 2014 to 2015
$153k
NIA NIH HHS R03 AG044610NIA NIH HHS R56 AG053961
6 · The paper itself

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.

Indexed as

Formative FeedbackPolymorphism, Single NucleotideProbability LearningAdultAgedAgingAllelesFemaleHippocampusHumansIntracellular Signaling Peptides and ProteinsMaleMiddle AgedPhosphoproteinsYoung AdultIntracellular Signaling Peptides and ProteinsPhosphoproteinsWWC1 protein, humanAgingHippocampusKIBRAProbabilistic classificationStriatumWeather prediction task

Identifiers

PMID29032191
PMCPMC5705462
OpenAlexW2751625208

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.