Evidence map›Paper›PMID 23950921›Full record

Trial reportPloS one2013

Real-time strategy game training: emergence of a cognitive flexibility trait.

Brian D Glass, W Todd Maddox, Bradley C Love

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Brian D GlassBiological and Experimental Psychology, School of Biological and Chemical Sciences, Queen Mary, University of London, London, United Kingdom.
W Todd Maddox
Bradley C Love

Funding

Genetic Influences on Dual Processing Modes of Reward and Punishment LearningR01DA032457 · NIDA · UNIVERSITY OF TEXAS AT AUSTIN · PI BEEVERS, CHRISTOPHER G · 2012 to 2016
$2.2M
Model-Based fMRI of Dynamic Category Learning: The Memory and Attention InterfaceR21MH091523 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI LOVE, BRADLEY C, PRESTON, ALISON R · 2011 to 2012
$377k
NIDA NIH HHS DA032457NIDA NIH HHS R01 DA032457NIMH NIH HHS MH091523NIMH NIH HHS R21 MH091523
6 · The paper itself

Abstract

Training in action video games can increase the speed of perceptual processing. However, it is unknown whether video-game training can lead to broad-based changes in higher-level competencies such as cognitive flexibility, a core and neurally distributed component of cognition. To determine whether video gaming can enhance cognitive flexibility and, if so, why these changes occur, the current study compares two versions of a real-time strategy (RTS) game. Using a meta-analytic Bayes factor approach, we found that the gaming condition that emphasized maintenance and rapid switching between multiple information and action sources led to a large increase in cognitive flexibility as measured by a wide array of non-video gaming tasks. Theoretically, the results suggest that the distributed brain networks supporting cognitive flexibility can be tuned by engrossing video game experience that stresses maintenance and rapid manipulation of multiple information sources. Practically, these results suggest avenues for increasing cognitive function.

Indexed as

Video GamesBayes TheoremBrainCognitionCuesHumansNerve NetPhotic StimulationPrincipal Component AnalysisPsychomotor PerformanceReaction TimeYoung Adult

Identifiers

PMID23950921
PMCPMC3737212

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.