Sleep electroencephalography as a window into future brain health
Ashley Montero, Andrew Vakulin · 2026
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Description
Montero and Vakulin, in a 2026 commentary, argue that sleep brain-wave recordings may forecast later brain health. They discuss the Brain Health Score, a single measure derived from overnight electroencephalography, or EEG, built with deep learning by Ganglberger and colleagues. Dementia now affects an estimated 57 million people worldwide, and earlier warning markers are badly needed.
The commentary centres on new work by Marino and colleagues in the same journal issue. That study found the score, taken from sleep EEG, was associated over time with future cognitive function, extending earlier cross-sectional evidence. Montero and Vakulin frame a single combined EEG metric as a step toward clinically usable prediction, since the raw sleep signal is complex and produces too many competing measures. They suggest such scores could flag high-risk people early enough for prevention efforts.
Catalog record
| CREATOR | Ashley Montero, Andrew Vakulin |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 9 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |