Effects of Tablet-Based Cognitive Training in Cognitively Unimpaired Older Adults: A Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVE: This study aimed to evaluate the neurophysiological and cognitive effects of a tablet-based cognitive training program in cognitively unimpaired (CU) older adults, in order to explore its potential as an accessible intervention for promoting cognitive health in aging populations. METHODS: In a single-center, rater-blind randomized controlled trial, 40 CU older adults were assigned to either a 10-week tablet-based cognitive training intervention or a passive control group. Resting-state quantitative electroencephalography was conducted to assess spectral power and functional connectivity (FC) across cortical regions. Cognitive outcomes were measured using seven tests from the Cambridge Neuropsychological Test Automated Battery, covering memory, attention, and executive function domains. RESULTS: Compared to the control group, participants in the intervention group showed significant increases in absolute power in beta1-3, theta, and gamma frequency bands, particularly in frontal and central regions. FC analysis revealed enhanced coherence in fronto-temporal and occipital regions following the intervention. Cognitive assessment demonstrated significant improvements in memory tasks, including delayed matching to sample, paired associates learning, and pattern recognition memory, in the intervention group. No significant changes were observed in attention or executive function domains. CONCLUSION: Tablet-based cognitive training was associated with measurable neurophysiological changes and selective improvements in memory performance among CU older adults. These findings support the potential of digital cognitive training as a non-pharmacological intervention to promote cognitive resilience and neural efficiency in aging. Further large-scale and long-term studies are warranted to confirm the durability and underlying mechanisms of these effects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".