Evidence map›Paper›PMID 34112925›Full record

ArticleScientific reports2021

Brain training using cognitive apps can improve cognitive performance and processing speed in older adults.

Bruno Bonnechère, Malgorzata Klass, Christelle Langley, Barbara Jacquelyn Sahakian

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
10.2field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

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  14. Cognitive outcomes of the at-home brain balance program.Frontiers in child and adolescent psychiatry · 2024
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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

4 authors at 3 institutions in 2 countries.

Bruno BonnechèreREVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Belgium. bruno.bonnechere@uhasselt.be.
Malgorzata KlassLaboratory of Applied Biology and Neurophysiology, ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Christelle LangleyDepartment of Psychiatry and Behavioural and Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0SZ, UK.
Barbara Jacquelyn SahakianDepartment of Psychiatry and Behavioural and Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0SZ, UK.
University of Cambridge · GBHasselt University · BEUniversité Libre de Bruxelles · BE

Funding

Wellcome Trust 200181/Z/15/Z
6 · The paper itself

Abstract

Managing age-related decrease of cognitive function is an important public health challenge, especially in the context of the global aging of the population. Over the last years several Cognitive Mobile Games (CMG) have been developed to train and challenge the brain. However, currently the level of evidence supporting the benefits of using CMG in real-life use is limited in older adults, especially at a late age. In this study we analyzed game scores and the processing speed obtained over the course of 100 sessions in 12,000 subjects aged 60 to over 80 years. Users who trained with the games improved regardless of age in terms of scores and processing speed throughout the 100 sessions, suggesting that old and very old adults can improve their cognitive performance using CMG in real-life use.

Indexed as

Cognitive Behavioral TherapyVideo GamesAgedAged, 80 and overAgingBrainCognitionExecutive FunctionFemaleGeriatricsHumansMaleMiddle AgedMobile Applications

Identifiers

PMID34112925
PMCPMC8192763
OpenAlexW3171153471

What OpenQuestion holds

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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.