ArticleImaging neuroscience (Cambridge, Mass.)2024
Do try this at home: Age prediction from sleep and meditation with large-scale low-cost mobile EEG.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Article
- Brain-age estimation with a low-cost EEG-headset: effectiveness and implications for large-scale screening and brain optimization.Frontiers in neuroergonomics · 2024Article
- Brain age revisited: Investigating the state vs. trait hypotheses of EEG-derived brain-age dynamics with deep learning.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Clinically altered brain activity may not look like aged brain activity: Implications for brain-age modeling and biomarker strategies.Alzheimer's & dementia (New York, N. Y.)Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electroencephalography (EEG) is an established method for quantifying large-scale neuronal dynamics which enables diverse real-world biomedical applications, including brain-computer interfaces, epilepsy monitoring, and sleep staging. Advances in sensor technology have freed EEG from traditional laboratory settings, making low-cost ambulatory or at-home assessments of brain function possible. While ecologically valid brain assessments are becoming more practical, the impact of their reduced spatial resolution and susceptibility to noise remain to be investigated. This study set out to explore the potential of at-home EEG assessments for biomarker discovery using the brain age framework and four-channel consumer EEG data. We analyzed recordings from more than 5200 human subjects (18-81 years) during meditation and sleep, to predict age at the time of recording. With cross-validated
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.