Scientific ReportsNeurosciencePeer-reviewed journal article
Changes in electrophysiological static and dynamic human brain functional architecture from childhood to late adulthood
Nicolas Coquelet, Vincent WensiD, Alison MaryiD, Maxime NieseniD, Delphine Puttaert, Mariagrazia RanziniiD, Marc Vander GhinstiD, Mathieu BourguignoniD, Philippe PeigneuxiD, Serge GoldmaniD, Mark W. WoolrichiD, Xavier De TiègeiD
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 integration were assessed using band-limited power envelope correlation, whereas those on transient functional dynamics were disclosed using hidden Markov modeling of power envelope activity. Brain development from childhood to adulthood came with (i) a strengthening of functional integration within and between resting-state networks and (ii) 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 dynamical stability within the 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.
- organism: human
- assay: electronic health records
- research focus: dimensionality reduction
- approach: statistical model
- Citations
- 29
- FWCI
- 2.69
- Field percentile
- top 10%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Effects of age on resting-state cortical networks
Chetan Gohil, Oliver Kohl, … Mark W. Woolrich·Human Brain MappingPeer-reviewed·Mar 26, 2026
- Brain anatomy and molecular signaling predict neurophysiological dynamics across the lifespan
Christina Stier, Udo Dannlowski, Joachim Groß·bioRxiv·Apr 4, 2026
- Characterizing the middle-age neurophysiology using EEG/MEG
Justyna Gula, Victoria Moiseeva, … Marinella Cappelletti·bioRxiv·Jun 4, 2021
- Total neuroelectric brain activity derived from resting-state MEG is invariable across the adult lifespan
Mikhail Nikolaevich Ustinin, A.I. Boyko, Stanislav Dmitrievich Rykunov·bioRxiv·Jun 21, 2024
- Frequency-resolved cortical functional connectivityacross the adult lifespan
Santeri Ruuskanen, Juan Camilo Avendano-Diaz, … Lauri T. Parkkonen·Human Brain MappingPeer-reviewed·Feb 26, 2026
- Predicting brain age across the adult lifespan with spontaneous oscillations and functional coupling in resting brain networks captured with magnetoencephalography
Samuel Hardy, Gill Roberts, … Benjamin Thomas Dunkley·Imaging NeurosciencePeer-reviewed·Jan 1, 2024