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34/100

✓ Peer-reviewed alzhub usefulness score 34 out of 100. Prevention trials

Topic: Risk, prevention and care in population studies

Recent discoveries indicating that the brain retains its ability to adapt and change throughout life have sparked interest in cognitive training (CT) as a possible means to postpone the development of dementia. Despite this, most research has focused on confirming the efficacy of training outcomes, with few studies examining the correlation between performance and results across various stages of training. In particular, the relationship between initial performance and the extent of improvement, the rate of learning, and the asymptotic performance level throughout the learning curve remains ambiguous. In this study, older adults underwent ten days of selective attention training using an adaptive algorithm, which enabled a detailed analysis of the learning curve's progression. Cognitive abilities were assessed before and after CT using the Mini-mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). The findings indicated that: (1) Initial performance is positively correlated with Learning amount and asymptotic performance level, and negatively correlated with learning speed; (2) Age is negatively correlated with learning speed, while it is positively correlated with the other three parameters. (3) Higher pre-training MMSE scores predicted higher post-training MMSE scores but less improvement; (4) Higher pre-training MoCA scores predicted higher post-training MoCA scores and less improvement; (5) The parameters of the learning curve did not correlate with performance on the MMSE or MoCA. These results indicate that: (1)Selective attention training using adaptive algorithms is an effective tool for cognitive intervention; (2) Older individuals with poor baseline cognitive abilities require more diversified cognitive training; (3) The study supports the compensation hypothesis.

Key findings

Despite this, most research has focused on confirming the efficacy of training outcomes, with few studies examining the correlation between performance and results across various stages of training.
The findings indicated that: (1) Initial performance is positively correlated with Learning amount and asymptotic performance level, and negatively correlated with learning speed; (2) Age is negatively correlated with learning speed, while it is positively correlated with the other three parameters.
These results indicate that: (1)Selective attention training using adaptive algorithms is an effective tool for cognitive intervention; (2) Older individuals with poor baseline cognitive abilities require more diversified cognitive training; (3) The study supports the compensation hypothesis.

Why it matters

In this study, older adults with mild cognitive impairment who did ten days of selective attention training with an adaptive algorithm showed that initial performance, age, and pre-training cognitive scores were related to how much they improved. The study describes learning patterns during training rather than whether the training prevents dementia.

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Study details

Evidence strengthLow

How this study scored 34/100

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 33 of the 96 points we could judge it on, which is 34 out of 100.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (Aging Clinical and Experimental Research)
Journal's citation record	1 / 4	Aging Clinical and Experimental Research: journal h-index 125 (OpenAlex, 2026-10-29)
Study design	0 / 12	No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence	1 / 5	Rated “low” in our summary
Peer-review validation	10 / 10	Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent	4 / 5	2025 — within 3 year(s) of the newest study here
Sample size	0 / 4	Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported	0 / 3	No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people	0 / 3	Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded	0 / 2	No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited	1 / 7	Cited 4 times (OpenAlex, 2026-10-10)
Citations per year	1 / 5	1.3 citations a year over 3 year(s) since 2025
Impact for its field and year	2 / 6	Cited 2.5× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here	0 / 6	No other study in this library cites it
Still being cited	1 / 4	Cited 4 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	— / 4	Senior author's record not available — left out of this score
Institution's track record	0 / 3	Guangzhou Xinhua University: institution h-index 42 (OpenAlex)
Multi-centre collaboration	1 / 3	OpenAlex lists 2 institution(s) in 1 country
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 39751703)
Free to read	2 / 2	Free to read
Points	33 / 96	Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 33 of the 96 points we could judge it on is 34 out of 100.
Total	34 / 100	—

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Li, C., Li, M., & Shang, Y. (2025). Cognitive training with adaptive algorithm improves cognitive ability in older people with MCI. Aging Clinical and Experimental Research. https://doi.org/10.1007/s40520-024-02913-5

Vancouver

Li C, Li M, Shang Y. Cognitive training with adaptive algorithm improves cognitive ability in older people with MCI. Aging Clinical and Experimental Research. 2025. doi:10.1007/s40520-024-02913-5. PMID: 39751703.

BibTeX

@article{li2025-39751703,
  author  = {Li, Chenxi and Li, Meiyun and Shang, Yunfeng},
  title   = {{Cognitive training with adaptive algorithm improves cognitive ability in older people with MCI}},
  journal = {Aging Clinical and Experimental Research},
  year    = {2025},
  doi     = {10.1007/s40520-024-02913-5},
  pmid    = {39751703},
  url     = {https://doi.org/10.1007/s40520-024-02913-5}
}

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