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ORIGINAL RESEARCH article

Front. Aging Neurosci.

Sec. Neurocognitive Aging and Behavior

Volume 17 - 2025 | doi: 10.3389/fnagi.2025.1498400

Extreme signal amplitude events in neuromagnetic oscillations reveal brain aging processing across adulthood

Provisionally accepted
  • 1 Royal Columbian Hospital, New Westminster, British Columbia, Canada
  • 2 Simon Fraser University, Burnaby, Canada

The final, formatted version of the article will be published soon.

    Neurophysiological activity, as noninvasively captured by electro- and magneto-encephalography (EEG and MEG), demonstrates complex temporal fluctuations approximated by typical variations around the mean values and rare events with large amplitude. The statistical properties of these extreme and rare events in neurodynamics may reflect the limits or capacity of the brain as a complex system in information processing. However, the exact role of these extreme neurodynamic events in ageing, and their spectral and spatial patterns remain elusive. Our study hypothesized that ageing would be associated with frequency-specific alterations in the brain's tendency to synchronize large ensembles of neurons and to produce extreme events. To identify spatio-spectral patterns of these age-related changes in extreme neurodynamics, we examined resting-state MEG recordings from a large cohort of adults (n=645), aged 18 to 89. Our findings revealed that each canonical frequency, from theta to lower gamma, displayed unique spatial patterns of either age-related increases, decreases, or both in the brain's tendency to produce extreme neuromagnetic events. Our study introduces a novel neuroimaging framework for understanding ageing through the extreme and rare events of the neurophysiological activity, offering more sensitivity than typical comparative approaches.

    Keywords: Ageing, Magnetoencephalography, brain rhythms, Temporal variability, skewed distributions, Heavy tail distributions, extreme values, neuronal avalanches

    Received: 18 Sep 2024; Accepted: 10 Feb 2025.

    Copyright: © 2025 Vakorin, Liaqat, Doesburg and Moreno. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Sylvain Moreno, Simon Fraser University, Burnaby, Canada

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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