Evidence map›Paper›PMID 26918585›Full record

ArticleJournal of cognitive neuroscience2016

Dopaminergic Genetic Polymorphisms Predict Rule-based Category Learning.

Kaileigh A Byrne, Tyler Davis, Darrell A Worthy

Open access · greenAbstract read
In one paragraph

Article in Journal of cognitive neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. The effect ofBrain and behavior · 2017
    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

3 authors at 2 institutions in 2 countries.

Kaileigh A ByrneTexas A&M University.
Tyler DavisTexas Tech University.
Darrell A WorthyTexas A&M University.
Texas A&M University · USTexas Tech University · US

Funding

A computational neuroscience approach to frontal compensation in decision-makingR01AG043425 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI SCHNYER, DAVID M, WORTHY, DARRELL A. · 2014 to 2019
$1.7M
NIA NIH HHS R01 AG043425
6 · The paper itself

Abstract

Dopaminergic genes play an important role in cognitive function. DRD2 and DARPP-32 dopamine receptor gene polymorphisms affect striatal dopamine binding potential, and the Val158Met single-nucleotide polymorphism of the COMT gene moderates dopamine availability in the pFC. Our study assesses the role of these gene polymorphisms on performance in two rule-based category learning tasks. Participants completed unidimensional and conjunctive rule-based tasks. In the unidimensional task, a rule along a single stimulus dimension can be used to distinguish category members. In contrast, a conjunctive rule utilizes a combination of two dimensions to distinguish category members. DRD2 C957T TT homozygotes outperformed C allele carriers on both tasks, and DARPP-32 AA homozygotes outperformed G allele carriers on both tasks. However, we found an interaction between COMT and task type where Met allele carriers outperformed Val homozygotes in the conjunctive rule task, but both groups performed equally well in the unidimensional task. Thus, striatal dopamine binding may play a critical role in both types of rule-based tasks, whereas prefrontal dopamine binding is important for learning more complex conjunctive rule tasks. Modeling results suggest that striatal dopaminergic genes influence selective attention processes whereas cortical genes mediate the ability to update complex rule representations.

Indexed as

LearningPolymorphism, GeneticCatechol O-MethyltransferaseDopamine and cAMP-Regulated Phosphoprotein 32FemaleGene DosageGenetic Association StudiesGenotyping TechniquesHeterozygoteHumansJudgmentLinear ModelsMaleNeuropsychological TestsPolymorphism, Single NucleotideReceptors, Dopamine D2Catechol O-MethyltransferaseCOMT protein, humanDopamine and cAMP-Regulated Phosphoprotein 32DRD2 protein, humanPPP1R1B protein, humanReceptors, Dopamine D2

Identifiers

PMID26918585
PMCPMC5042137
OpenAlexW2283746675

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.