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

**Authors:** 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

PMC · DOI: 10.1038/s41598-026-37123-8 · Scientific Reports · 2026-01-30

## TL;DR

Researchers developed a digital biomarker called RTACC to predict how well people with mild cognitive impairment respond to a multi-domain intervention.

## Contribution

The study introduces RTACC, a novel in-game digital biomarker, to predict cognitive response to multi-domain interventions.

## Key findings

- RTACC was significantly associated with changes in cognitive scores over 24 weeks.
- RTACC showed a marginal effect on changes in brain-derived neurotrophic factor levels.
- RTACC combined with clinical data identified good responders with an area under the curve of 0.73.

## 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.

The online version contains supplementary material available at 10.1038/s41598-026-37123-8.

## Full-text entities

- **Genes:** BDNF (brain derived neurotrophic factor) [NCBI Gene 627] {aka ANON2, BULN2}
- **Diseases:** cognitive impairment (MESH:D003072)
- **Chemicals:** RTACC (-)

## Full text

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## Figures

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## References

6 references — full list in the complete paper: https://tomesphere.com/paper/PMC12913615/full.md

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Source: https://tomesphere.com/paper/PMC12913615