Evidence map›Paper›PMID 41617781›Full record

Trial reportScientific reports2026

Developing digital biomarker for predicting cognitive response to multi-domain intervention.

Ji Hyeun Park, Hyun Sook Kim, Seong Hye Choi, Jee Hyang Jeong, So Young Moon, Yoo Kyoung Park, Chang Hyung Hong, Soo Hyun Cho, Hae Ri Na, Hang-Rai Kim

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Ji Hyeun Park *Medical division, Rowan, Cheonan, South Korea.
Hyun Sook Kim *Department of Neurology, CHA Bundang Medical Center, CHA University, Seongnam, South Korea.
Seong Hye ChoiDepartment of Neurology, Inha University College of Medicine, Incheon, South Korea.
Jee Hyang JeongDepartment of Neurology, Ewha Womans University College of Medicine, Seoul, South Korea.
So Young MoonDepartment of Neurology, Ajou University School of Medicine, Suwon, South Korea.
Yoo Kyoung ParkDepartment of Medical Nutrition (AgeTech-Service Convergence Major), Graduate School of East-West Medical Science, Kyung Hee University, Suwon, South Korea.
Chang Hyung HongDepartment of Psychiatry, Ajou University School of Medicine, Suwon, South Korea.
Soo Hyun ChoDepartment of Neurology, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, South Korea.
Hae Ri Na *Department of Neurology, Bobath Memorial Hospital, Seongnam, South Korea.
Hang-Rai Kim *Medical division, Rowan, Cheonan, South Korea. alwaysolleh26@rowan.kr.

Funding

Institute of Information and Communications Technology Planning and Evaluation (IITP) 2022-0-00448 / RS-2022-II220448Korea Dementia Research Center (KDRC) RS-2021-KH112062National Research Council of Science and Technology (NST) CRC22013-600
6 · The paper itself

Abstract

Computerized cognitive training allows real-time tracking of performance metrics that may serve as digital biomarkers. This study investigated the value of a novel in-game digital biomarker, RTACC (Reaction Time-Accuracy Correlation), the correlation between reaction time and accuracy, using data from 130 participants with mild cognitive impairment enrolled in the intervention arm of the SUPERBRAIN-MEET randomized controlled trial. Participants underwent a 24-week multi-domain intervention, consisting of computerized cognitive training, physical exercise, nutritional education, vascular/metabolic risk management, and motivation enhancement. RTACC was derived from task-level RT and accuracy and examined in relation to cognitive and biomarker outcomes. Linear regression analysis revealed a significant association between RTACC and changes in Repeatable Battery for the Assessment of Neuropsychological Status scores from baseline to 24 weeks (beta coefficient = -11.90 ± 3.78, T = - 3.14, P = 0.002). RTACC also showed a marginal effect on changes in brain-derived neurotrophic factor levels (beta coefficient = - 3.13 ± 1.64, P = 0.057). Logistic regression analysis demonstrated that RTACC combined with clinical information identified good responders with an area under the receiver operating characteristic curve of 0.73 (95% CI: 0.62-0.84). These findings suggest that this in-game digital biomarker (RTACC) may help identify individuals likely to benefit from multi-domain intervention.

Indexed as

BiomarkersCognitionCognitive DysfunctionAgedBrain-Derived Neurotrophic FactorCognitive EnhancementCognitive TrainingFemaleHumansMaleNeuropsychological TestsReaction TimeVideo GamesBiomarkersBrain-Derived Neurotrophic FactorComputerized cognitive trainingDigital biomarkerMild cognitive impairment

Identifiers

PMID41617781
PMCPMC12913615

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.