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Machine Learning-Based Sleep Electroencephalographic Brain Age Index and Dementia Risk: An Individual Participant Data Meta-Analysis
Haoqi Sun, Sasha Milton, Yi Fang, Hash Brown Taha, Shreya Shiju, Robert J Thomas, Wolfgang Ganglberger, Matthew P Pase, et al.. JAMA network open, 2026-03-02
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
- 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.
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.
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Study details
- Study designmeta-analysis
- Participants7,105
- Effect sizeHazard ratio 1.39 (95% CI 1.21-1.59) for incident dementia per 10-year increase in sleep-EEG brain age index
- Evidence strengthModerate
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
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.
| Component | Points | Why |
|---|---|---|
| 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
- DOI: 10.1001/jamanetworkopen.2026.1521
- PubMed: 41854616
- Original source →
- Free full text: PubMed Central →
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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