ArticleBrain topography2024
When Maturation is Not Linear: Brain Oscillatory Activity in the Process of Aging as Measured by Electrophysiology.
Article in Brain topography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- The ENIGMA MEG Pipeline: Automated cortically localized spectral analysis of multi-site resting state MEG datasets.bioRxiv : the preprint server for biology · 2026Article
- Electrophysiological sexual dimorphism as an early risk marker of alcohol use in adolescence: A longitudinal neuroimaging study.Addiction (Abingdon, England) · 2026Article
- The development of aperiodic neural activity in the human brain.Nature human behaviour · 2025Article
- Age-related changes in neural oscillations vary as a function of brain region and frequency band.Frontiers in aging neuroscience · 2025Article
- Interactive effects of social media use and puberty on resting-state cortical activity and mental health symptoms.Developmental cognitive neuroscience · 2025Article
- The fluctuations of alpha power: Bimodalities, connectivity, and neural mass models.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Multi-site harmonization for magnetoencephalography spectral power data.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Changes in brain oscillatory activity are commonly used as biomarkers both in cognitive neuroscience and in neuropsychiatric conditions. However, little is known about how its profile changes across maturation. Here we use regression models to characterize magnetoencephalography power changes within classical frequency bands in a sample of 792 healthy participants, covering the range 13 to 80 years old. Our findings unveil complex, non-linear power trajectories that defy the traditional linear paradigm, with notable cortical region variations. Interestingly, slow wave activity increases correlate with improved cognitive performance throughout life and larger gray matter volume in the elderly. Conversely, fast wave activity diminishes in adulthood. Elevated low-frequency activity during aging, traditionally seen as compensatory, may also signify neural deterioration. This dual interpretation, highlighted by our study, reveals the intricate dynamics between brain oscillations, cognitive performance, and aging. It advances our understanding of neurodevelopment and aging by emphasizing the regional specificity and complexity of brain rhythm changes, with implications for cognitive and structural integrity.
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38900389What OpenQuestion holds
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.