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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 71 out of 100. Biomarkers

Reviewed as evidence on: Sleep-EEG-derived brain age and dementia risk 1 study (what the news said). Being listed means the study bears on the question, not that it agrees with the news.

Topic: Risk, prevention and care in population studies

Results This meta-analysis included 7105 participants from the MESA (n = 1802; mean [SD] age, 69.3 [9.0] years; 956 females [53.1%]), ARIC (n = 1796; 62.5 [5.7] years; 918 females [51.1%]), FHS-OS (n = 617; 59.5 [8.9] years; 318 females [51.5%]), MrOS (n = 2639 males [100%]; 76.0 [5.3] years), and SOF (n = 251 females [100%]; 82.7 [2.9] years) cohorts. Across the cohorts, each 10-year increase in BAI was associated with a 39% higher risk of incident dementia (hazard ratio [HR], 1.39 [95% CI, 1.21-1.59]; P Conclusions and relevance In this IPD meta-analysis, a higher sleep EEG-based BAI was associated with a higher risk of incident dementia. These findings highlight the need to evaluate the predictive value of the BAI as a noninvasive digital marker for early detection of dementia in community settings.

Key findings

Why it matters

In this pooled analysis of over 7,000 people, each 10-year increase in a sleep EEG-based brain age index was linked to a 39% higher risk of developing dementia. The authors say this noninvasive digital marker needs further evaluation before it can be used for early detection in the community.

Study details

Limitations

Cohorts differed in age, sex mix and follow-up (3.6 to 16.9 years to dementia); dementia ascertainment varied; the index has not been tested prospectively as a screening tool.

How this study scored 71/100
How this study's score is builtJournal tier 9 of 10; Journal's citation record 2 of 4; Study design 12 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 5 of 5; Sample size 3 of 4; Effect reported 3 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 2 of 7; Citations per year 2 of 5; Impact for its field and year 5 of 6; Cited by studies here 0 of 6; Still being cited 1 of 4; Senior author's track record 2 of 4; Institution's track record 3 of 3; Multi-centre collaboration 3 of 3; Indexed in PubMed 2 of 2; Free to read left out, no data. 70 of the 98 points it could be judged on, which is 71 of 100. Total 71 of 100.70 of the 98 points we could judge = 71 of 100

Published in a leading specialty journal, and it is a meta-analysis pooling many studies. We have no data on free to read, so that was left out: it earned 70 of the 98 points we could judge it on, which is 71 out of 100.

ComponentPointsWhy
Journal tier 9 / 10 Tier 2 — leading specialty journal (JAMA network open)
Journal's citation record 2 / 4 JAMA Network Open: journal h-index 235 (OpenAlex, 2026-10-29)
Study design 12 / 12 A meta-analysis pooling many studies
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 5 / 5 2026 — within 1 year(s) of the newest study here
Sample size 3 / 4 7,105 participants
Effect reported 3 / 3 Effect reported with a statistic (interval, p-value, ratio or similar)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 A review of other studies — randomisation is not credited here
Times cited 2 / 7 Cited 6 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 3.0 citations a year over 2 year(s) since 2026
Impact for its field and year 5 / 6 Cited 28.5× 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 6 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Yue Leng: h-index 32 (OpenAlex, whole career)
Institution's track record 3 / 3 Harvard University: institution h-index 3,235 (OpenAlex)
Multi-centre collaboration 3 / 3 OpenAlex lists 10 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 41854616)
Free to read — / 2 Access not recorded — left out of this score
Points 70 / 98 Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 70 of the 98 points we could judge it on is 71 out of 100.
Total 71 / 100 —

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

Read the original

Full text: free to read — PubMed Central lists this copy as free to read: the link above (checked 10 Oct 2026).

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. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Sun, H., Milton, S., Fang, Y., Taha, H. B., Shiju, S., Thomas, R. J., et al. (2026). Machine Learning-Based Sleep Electroencephalographic Brain Age Index and Dementia Risk: An Individual Participant Data Meta-Analysis. JAMA network open. https://doi.org/10.1001/jamanetworkopen.2026.1521

Vancouver

Sun H, Milton S, Fang Y, Taha HB, Shiju S, Thomas RJ, et al. Machine Learning-Based Sleep Electroencephalographic Brain Age Index and Dementia Risk: An Individual Participant Data Meta-Analysis. JAMA network open. 2026. doi:10.1001/jamanetworkopen.2026.1521. PMID: 41854616.

BibTeX

@article{sun2026-41854616,
  author  = {Sun, Haoqi and Milton, Sasha and Fang, Yi and Taha, Hash Brown and Shiju, Shreya and Thomas, Robert J and Ganglberger, Wolfgang and Pase, Matthew P and others},
  title   = {{Machine Learning-Based Sleep Electroencephalographic Brain Age Index and Dementia Risk: An Individual Participant Data Meta-Analysis}},
  journal = {JAMA network open},
  year    = {2026},
  doi     = {10.1001/jamanetworkopen.2026.1521},
  pmid    = {41854616},
  url     = {https://doi.org/10.1001/jamanetworkopen.2026.1521}
}

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Referenced by this study and also in the alzhub library, so you can read them here.

In the news

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