ArticleClinical EEG and neuroscience2023
MEG Oscillatory Slowing in Cognitive Impairment is Associated with the Presence of Subjective Cognitive Decline.
Article in Clinical EEG and neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- The entropic brain today.Brain : a journal of neurology · 2026Review
- Three-order interactions in the alpha band of default mode network EEGs based on O-information rate: insights from aging and Alzheimer's disease.Alzheimer's research & therapy · 2026Article
- Divergence of cortical neurophysiology across different neurodegenerative disorders compared to healthy ageing.Progress in neurobiology · 2026Article
- Prediction of mild cognitive impairment progression using time-sensitive multimodal biomarkers.medRxiv : the preprint server for health sciences · 2025Article
- Modulated theta band frequency with binaural beat stimulation correlates with improved cognitive scores in Alzheimer's patients.Frontiers in aging neuroscience · 2025Article
- High-power transient 12-30 Hz beta event features as early biomarkers of Alzheimer's disease conversion: An MEG study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Relationship between default mode network and resting-state electroencephalographic alpha rhythms in cognitively unimpaired seniors and patients with dementia due to Alzheimer's disease.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Beta to theta power ratio in EEG periodic components as a potential biomarker in mild cognitive impairment and Alzheimer's dementia.Alzheimer's research & therapy · 2023Article
- A multi-scale model explains oscillatory slowing and neuronal hyperactivity in Alzheimer's disease.Journal of the Royal Society, Interface · 2023Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
The mechanisms behind Alzheimer's disease are not yet fully described, and changes in the electrophysiology of patients across the continuum of the disease could help to understand them. In this work, we study the power spectral distribution of a set of 129 individuals from the Connectomics of Brian Aging and Dementia project.From this sample, we acquired task-free data, with eyes closed, and estimated the power spectral distribution in source space. We compared the spectral profiles of three groups of individuals: 70 healthy controls, 27 patients with amnestic MCI, and 32 individuals showing cognitive impairment without subjective complaints (IWOC).The results showed a slowing of the brain activity in the aMCI patients, when compared to both the healthy controls and the IWOC individuals. These differences appeared both as a decrease in power for high frequency oscillations and an increase in power in alpha oscillations. The slowing of the spectrum was significant mainly in parietal and medial frontal areas.We were able to validate the slowing of the brain activity in individuals with aMCI, appearing in our sample in areas related to the default mode network. However, this pattern did not appear in the IWOC individuals, suggesting that their condition is not part of the AD continuum. This work raises interesting questions about this group of individuals, and the underlying brain mechanisms behind their cognitive impairment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.