Evidence map›Paper›PMID 31518277›Full record

ArticleJMIR aging2019

Design and Development of the Brain Training System for the Digital "Maintain Your Brain" Dementia Prevention Trial.

Courtney Campbell Walton, Amit Lampit, Christos Boulamatsis, Harry Hallock, Polly Barr, Jeewani Anupama Ginige, Henry Brodaty, Tiffany Chau, Megan Heffernan, Perminder Singh Sachdev and 2 more

Open access · goldAbstract read

PubMed Full text at PMC Publisher

In one paragraph

Article in JMIR aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it

0cells of the map it votes in

7citing papers in PubMed

1.6field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

An online multidomain lifestyle intervention to prevent cognitive decline in at-risk older adults: a randomized controlled trial.Nature medicine · 2025
Trial
A comparison of single-domain and multidomain executive functions cognitive training for enhancing cognition and well-being in older adults.Psychological research · 2026
Article
MetaRehabVerse: The Great Opportunity to Put the Person's Functioning and Participation at the Center of Healthcare.Neurorehabilitation and neural repair · 2025
Review
Proposal of neural network model for neurocognitive rehabilitation and its comparison with fuzzy expert system model.BMC medical informatics and decision making · 2023
Article
NeuroAIreh@b: an artificial intelligence-based methodology for personalized and adaptive neurorehabilitation.Frontiers in neurology · 2023
Article
Design of the Exercise Load Data Monitoring System for Exercise Training Based on the Neural Network.Journal of healthcare engineering · 2021
Article
Face-to-Face and Digital Multidomain Lifestyle Interventions to Enhance Cognitive Reserve and Reduce Risk of Alzheimer's Disease and Related Dementias: A Review of Completed and Prospective Studies.Nutrients · 2019
Review

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

12 authors at 4 institutions in 3 countries.

Courtney Campbell WaltonSchool of Psychology, University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0003-0835-2310

Amit LampitRegenerative Neuroscience Group, Brain and Mind Centre, University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0001-6522-8397

Christos BoulamatsisRegenerative Neuroscience Group, Brain and Mind Centre, University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-1767-8075

Harry HallockRegenerative Neuroscience Group, Brain and Mind Centre, University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0003-4047-2267

Polly BarrRegenerative Neuroscience Group, Brain and Mind Centre, University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-3872-5387

Jeewani Anupama GinigeSchool of Computing, Engineering and Mathematics, Western Sydney University, Sydney, Australia.ORCID http://orcid.org/0000-0002-6695-6983

Henry BrodatyCentre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0001-9487-6617

Tiffany ChauCentre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0002-3469-3672

Megan HeffernanCentre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0001-8992-8072

Perminder Singh SachdevCentre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0002-9595-3220

Maria A Fiatarone SinghPhysical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences, Sydney Medical School, University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-1897-8707

Michael ValenzuelaRegenerative Neuroscience Group, Brain and Mind Centre, University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0001-7162-6607

The University of Sydney · AUUNSW Sydney · AUHebrew College · USWestern Sydney University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDementia is the leading cause of disability worldwide, and interventions aimed at reducing the prevalence and burden of the disease are urgently needed. Maintain Your Brain (MYB) is a randomized controlled trial of a multimodal digital health intervention targeting modifiable dementia risk factors to combat cognitive decline and potentially prevent dementia. In addition to behavioral modules targeting mood, nutrition, and physical exercise, a new Brain Training System (BTS) will deliver computerized cognitive training (CCT) throughout the trial to provide systematic, challenging, and personally adaptive cognitive activity.

objectiveThis paper aimed to describe the design and development of BTS.

methodsBTS has been designed with a central focus on the end user. Raw training content is provided by our partner NeuroNation and delivered in several innovative ways. A baseline cognitive profile directs selection and sequencing of exercises within and between sessions and is updated during the 10-week 30-session module. Online trainers are available to provide supervision at different levels of engagement, including face-to-face share-screen coaching, a key implementation resource that is triaged by a "red flag" system for automatic tracking of user adherence and engagement, or through user-initiated help requests. Individualized and comparative feedback is provided to aid motivation and, for the first time, establish a social support network for the user based on their real-world circle of friends and family.

resultsThe MYB pilot was performed from November 2017 to March 2018. We are currently analyzing data from this pilot trial (n=100), which will make up a separate research paper. The main trial was launched in June 2018. Process and implementation data from the first training module (September to November 2018) are expected to be reported in 2019 and final trial outcomes are anticipated in 2022.

conclusionsThe BTS implemented in MYB is focused on maximizing adherence and engagement with CCT over the short and long term in the setting of a fully digital trial, which, if successful, could be delivered economically at scale.

trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12618000851268; https://www.anzctr.org.au /Trial/Registration/TrialReview.aspx?id=370631&isReview=true.

Indexed as

clinical trial designcomputerized cognitive trainingdementiaolder adults

Identifiers

PMID31518277

DOI10.2196/13135

PMCPMC6715098

OpenAlexW2914021825

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.