Evidence map›Paper›PMID 25624754›Full record

Trial reportClinical interventions in aging2015

A pilot randomized controlled trial using EEG-based brain-computer interface training for a Chinese-speaking group of healthy elderly.

Tih-Shih Lee, Shin Yi Quek, Siau Juinn Alexa Goh, Rachel Phillips, Cuntai Guan, Yin Bun Cheung, Lei Feng, Chuan Chu Wang, Zheng Yang Chin, Haihong Zhang and 3 more

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical interventions in aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04439591 (Group-based Brain-computer Interface), which is not on this map. Cited by 19 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 7 pooled it
1.3field-weighted citation impact, top 21% 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.

NCT04439591 nacompletednot on this mapstarted 2017, after this paper: background citation

Group-based Brain-computer Interface (BCI) Cognitive Training in Healthy Older Adults: An Evaluation of Programme Implementation and Effectiveness in Neighborhood Community Centers

TypeinterventionalSponsorGeriatric Education and Research InstituteRan2017 to 2018Enrolled94ConditionsCognitionArmsComputerised cognitive training
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 7 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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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

13 authors at 5 institutions in 1 country.

Tih-Shih LeeDepartment of Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore.
Shin Yi QuekDepartment of Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore.
Siau Juinn Alexa GohDepartment of Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore.
Rachel PhillipsSingapore Clinical Research Institute, Singapore.
Cuntai GuanInstitute for Infocomm Research, Agency for Science, Technology and Research, Singapore.
Yin Bun CheungCentre for Quantitative Medicine, Duke-NUS Graduate Medical School, Singapore.
Lei FengDepartment of Psychological Medicine, National University of Singapore, Singapore.
Chuan Chu WangInstitute for Infocomm Research, Agency for Science, Technology and Research, Singapore.
Zheng Yang ChinInstitute for Infocomm Research, Agency for Science, Technology and Research, Singapore.
Haihong ZhangInstitute for Infocomm Research, Agency for Science, Technology and Research, Singapore.
Jimmy LeeDepartment of General Psychiatry/Department of Research, Institute of Mental Health, Singapore.
Tze Pin NgDepartment of Psychological Medicine, National University of Singapore, Singapore.
K Ranga Rama KrishnanDepartment of Neuroscience and Behavioral Disorders, Duke-NUS Graduate Medical School, Singapore.
Duke-NUS Medical School · SGInstitute for Infocomm Research · SGNational University of Singapore · SGAgency for Science, Technology and Research · SGSingapore Clinical Research Institute · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is growing evidence that cognitive training (CT) can improve the cognitive functioning of the elderly. CT may be influenced by cultural and linguistic factors, but research examining CT programs has mostly been conducted on Western populations. We have developed an innovative electroencephalography (EEG)-based brain-computer interface (BCI) CT program that has shown preliminary efficacy in improving cognition in 32 healthy English-speaking elderly adults in Singapore. In this second pilot trial, we examine the acceptability, safety, and preliminary efficacy of our BCI CT program in healthy Chinese-speaking Singaporean elderly.

methodsThirty-nine elderly participants were randomized into intervention (n=21) and wait-list control (n=18) arms. Intervention consisted of 24 half-hour sessions with our BCI-based CT training system to be completed in 8 weeks; the control arm received the same intervention after an initial 8-week waiting period. At the end of the training, a usability and acceptability questionnaire was administered. Efficacy was measured using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), which was translated and culturally adapted for the Chinese-speaking local population. Users were asked about any adverse events experienced after each session as a safety measure.

resultsThe training was deemed easily usable and acceptable by senior users. The median difference in the change scores pre- and post-training of the modified RBANS total score was 8.0 (95% confidence interval [CI]: 0.0-16.0, P=0.042) higher in the intervention arm than waitlist control, while the mean difference was 9.0 (95% CI: 1.7-16.2, P=0.017). Ten (30.3%) participants reported a total of 16 adverse events - all of which were graded "mild" except for one graded "moderate".

conclusionOur BCI training system shows potential in improving cognition in both English- and Chinese-speaking elderly, and deserves further evaluation in a Phase III trial. Overall, participants responded positively on the usability and acceptability questionnaire.

Indexed as

Brain-Computer InterfacesCognitionLearningNeuropsychological TestsAgedAsian PeopleAttentionElectroencephalographyHumansMemoryPatient SatisfactionQuality of LifeSingaporeattentioncognitive trainingmemoryneuro-feedback

Identifiers

PMID25624754
PMCPMC4296917
OpenAlexW2049752956

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.