ArticleeNeuro
Brain Dynamics of Aging: Multiscale Variability of EEG Signals at Rest and during an Auditory Oddball Task
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Aperiodic and Hurst EEG exponents across early human brain development: A systematic review.Developmental cognitive neuroscience · 2024Pooled it
- EEG-based biomarker for the identification of mild cognitive impairment via coherency analysis and iterative dynamic time warping.Scientific reports · 2026Article
- Developmental and aging changes in brain network switching dynamics revealed by EEG phase synchronization.PLoS computational biology · 2026Article
- Brain glucodynamic variability is an essential feature of the metabolism-cognition relationship.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Chronic alcohol-induced brain states limit propagation of direct cortical stimulation.Scientific reports · 2025Article
- Rewiring the aging brain: exergaming modulates brain complexity in older adults.Frontiers in aging neuroscience · 2025Article
- Hyper-brain hyper-frequency network topology dynamics when playing guitar in quartet.Frontiers in human neuroscience · 2024Article
- The modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults.Scientific reports · 2022Article
- Low EEG Gamma Entropy and Glucose Hypometabolism After Corpus Callosotomy Predicts Seizure Outcome After Subsequent Surgery.Frontiers in neurology · 2022Article
- Regularity and randomness in ageing: Differences in resting-state EEG complexity measured by largest Lyapunov exponent.Neuroimage. Reports · 2021Article
- Signal complexity indicators of health status in clinical EEG.Scientific reports · 2021Article
- Time in Brain: How Biological Rhythms Impact on EEG Signals and on EEG-Derived Brain Networks.Frontiers in network physiology · 2021Article
- Standard multiscale entropy reflects neural dynamics at mismatched temporal scales: What's signal irregularity got to do with it?PLoS computational biology · 2020Article
- Neurophysiological Markers of Alzheimer's Disease: Quantitative EEG Approach.Neurology and therapy · 2019Review
- Controlling seizure propagation in large-scale brain networks.PLoS computational biology · 2019Article
- Lifespan Changes in Network Structure and Network Topology Dynamics During Rest and Auditory Oddball Performance.Frontiers in aging neuroscience · 2019Article
- Amplitude- and Fluctuation-Based Dispersion Entropy.Entropy (Basel, Switzerland) · 2018Article
- Signal Complexity of Human Intracranial EEG Tracks Successful Associative-Memory Formation across Individuals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition.Frontiers in neuroinformatics · 2018Review
- Pre-treatment EEG signal variability is associated with treatment success in depression.NeuroImage. Clinical · 2018Article
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The present work focused on the study of fluctuations of cortical activity across time scales in young and older healthy adults. The main objective was to offer a comprehensive characterization of the changes of brain (cortical) signal variability during aging, and to make the link with known underlying structural, neurophysiological, and functional modifications, as well as aging theories. We analyzed electroencephalogram (EEG) data of young and elderly adults, which were collected at resting state and during an auditory oddball task. We used a wide battery of metrics that typically are separately applied in the literature, and we compared them with more specific ones that address their limits. Our procedure aimed to overcome some of the methodological limitations of earlier studies and verify whether previous findings can be reproduced and extended to different experimental conditions. In both rest and task conditions, our results mainly revealed that EEG signals presented systematic age-related changes that were time-scale-dependent with regard to the structure of fluctuations (complexity) but not with regard to their magnitude. Namely, compared with young adults, the cortical fluctuations of the elderly were more complex at shorter time scales, but less complex at longer scales, although always showing a lower variance. Additionally, the elderly showed signs of spatial, as well as between, experimental conditions dedifferentiation. By integrating these so far isolated findings across time scales, metrics, and conditions, the present study offers an overview of age-related changes in the fluctuation electrocortical activity while making the link with underlying brain dynamics.
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