ArticleFrontiers in aging neuroscience2021
Age-Related EEG Power Reductions Cannot Be Explained by Changes of the Conductivity Distribution in the Head Due to Brain Atrophy.
Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Characteristics of electroencephalographic changes induced by different hypnotics in elderly patients: a narrative review.Korean journal of anesthesiology · 2026Review
- Caffeine-augmented exercise as a pretreatment for locomotor and balance impairments induced by REM sleep deprivation in rats.Scientific reports · 2025Article
- Intra- and Inter-Regional Complexity in Multi-Channel Awake EEG Through Multivariate Multiscale Dispersion Entropy for Assessing Sleep Quality and Aging.Biosensors · 2025Article
- Frontal theta oscillations and cognitive flexibility: Age-related modulations in EEG activity.Aging brain · 2025Article
- Scalp electrode placement accuracy for the canine electroencephalography array.Frontiers in veterinary science · 2025Article
- Changes of in vivo electrical conductivity in the brain and torso related to age, fat fraction and sex using MRI.Scientific reports · 2024Article
- From Gut Microbiota to Brain Waves: The Potential of the Microbiome and EEG as Biomarkers for Cognitive Impairment.International journal of molecular sciences · 2024Review
- Comparison of EEG Source Localization Using Simplified and Anatomically Accurate Head Models in Younger and Older Adults.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023Article
- The modulatory effect of adaptive task-switching training on resting-state neural network dynamics in younger and older adults.Scientific reports · 2022Article
- Ageing-related changes in nap neuroscillatory activity are mediated and moderated by grey matter volume.The European journal of neuroscience · 2021Article
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Authors and funding
6 authors.
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Abstract
Electroencephalogram (EEG) power reductions in the aging brain have been described by numerous previous studies. However, the underlying mechanism for the observed brain signal power reduction remains unclear. One possible cause for reduced EEG signals in elderly subjects might be the increased distance from the primary neural electrical currents on the cortex to the scalp electrodes as the result of cortical atrophies. While brain shrinkage itself reflects age-related neurological changes, the effects of changes in the distribution of electrical conductivity are often not distinguished from altered neural activity when interpreting EEG power reductions. To address this ambiguity, we employed EEG forward models to investigate whether brain shrinkage is a major factor for the signal attenuation in the aging brain. We simulated brain shrinkage in spherical and realistic brain models and found that changes in the conductor geometry cannot fully account for the EEG power reductions even when the brain was shrunk to unrealistic sizes. Our results quantify the extent of power reductions from brain shrinkage and pave the way for more accurate inferences about deficient neural activity and circuit integrity based on EEG power reductions in the aging population.
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