ArticleGeroScience2025
Healthy aging changes in conventional frequency bands of neuroelectric brain activity reconstructed from resting-state MEG.
Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Normative modeling of MEG brain oscillations across the human lifespan.Communications biology · 2026Article
- Fifteen years on: a review of the Cam-CAN study of the cognitive neuroscience of ageing.GeroScience · 2026Review
- Lifespan oscillatory dynamics in lexical production: A population-based MEG resting-state analysis.Imaging neuroscience (Cambridge, Mass.) · 2025Article
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Authors and funding
3 authors.
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Abstract
Age-related dependencies of electric and spectral powers in conventional frequency bands were studied by the newly proposed method of detailed spectral analysis. The magnetic encephalograms (MEG) and magnetic resonance images (MRI) of the head were obtained from the open archive Cam-CAN. The spatial distributions of elementary spectral components (MEG-based functional tomograms) were reconstructed from MEG for 501 subjects (248 males and 253 females, ages 18-88 years, mean age 54.8 ±18.4). Physiological noise was eliminated by joint analysis of MEG-based functional tomogram and magnetic resonance image for each subject. Spectral and electric powers were calculated in six conventional frequency bands (1-4 Hz - delta; 4-8 Hz - theta; 8-13 Hz - alpha; 13-21 Hz - beta-1; 21-30 Hz - beta-2; 30-48 Hz - gamma), and age-related changes were examined. It was found that the spectral power of the delta band is significantly decreasing (p-value 0.002) and beta-1 and gamma are significantly increasing (p-values 0.001, 0.003). Electric power in the delta band is significantly decreasing (p-value 0.033), while electric power in the beta-1 band is significantly increasing (p-value 0.001). Also, the summary electric power of theta, alpha, beta-1, beta-2, and gamma bands is significantly increasing (p-value 0.024). Results represent general time dependence of the aging brain's electrical sources. The proposed method of joint MEG and MRI analysis can be used for a detailed study of sources location and connectivity.
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Registered trials
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