ArticleScientific reports2020
Changes in electrophysiological static and dynamic human brain functional architecture from childhood to late adulthood.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 28 citations in OpenAlex.
- Effects of Age on Resting-State Cortical Networks.Human brain mapping · 2026Article
- Fully Hyperbolic Neural Networks: A Novel Approach to Studying Aging Trajectories.IEEE journal of biomedical and health informatics · 2025Article
- The lifelong nonlinear development of spatial variability of brain signals.Communications biology · 2025Article
- Temporal autocorrelation is predictive of age-An extensive MEG time-series analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Motor learning- and consolidation-related resting state fast and slow brain dynamics across wake and sleep.Scientific reports · 2024Article
- Article
- Adult lifespan trajectories of neuromagnetic signals and interrelations with cortical thickness.NeuroImage · 2023Review
- Resting state fast brain dynamics predict interindividual variability in motor performance.Scientific reports · 2022Article
- Microstates and power envelope hidden Markov modeling probe bursting brain activity at different timescales.NeuroImage · 2022Article
- Age of onset modulates resting-state brain network dynamics in Friedreich Ataxia.Human brain mapping · 2021Article
- Alterations in resting-state network dynamics along the Alzheimer's disease continuum.Scientific reports · 2020Article
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Authors and funding
12 authors at 4 institutions in 3 countries.
Funding
Abstract
This magnetoencephalography study aimed at characterizing age-related changes in resting-state functional brain organization from mid-childhood to late adulthood. We investigated neuromagnetic brain activity at rest in 105 participants divided into three age groups: children (6-9 years), young adults (18-34 years) and healthy elders (53-78 years). The effects of age on static resting-state functional brain integration were assessed using band-limited power envelope correlation, whereas those on transient functional brain dynamics were disclosed using hidden Markov modeling of power envelope activity. Brain development from childhood to adulthood came with (1) a strengthening of functional integration within and between resting-state networks and (2) an increased temporal stability of transient (100-300 ms lifetime) and recurrent states of network activation or deactivation mainly encompassing lateral or medial associative neocortical areas. Healthy aging was characterized by decreased static resting-state functional integration and dynamic stability within the primary visual network. These results based on electrophysiological measurements free of neurovascular biases suggest that functional brain integration mainly evolves during brain development, with limited changes in healthy aging. These novel electrophysiological insights into human brain functional architecture across the lifespan pave the way for future clinical studies investigating how brain disorders affect brain development or healthy aging.
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