ArticleScientific reports2019
Resting-state prefrontal EEG biomarkers in correlation with MMSE scores in elderly individuals.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.
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Who cites it
45 citing papers in PubMed, 3 syntheses or guidelines pooled it, 80 citations in OpenAlex.
- Evaluating cognitive decline detection in aging populations with single-channel EEG features based on two studies and meta-analysis.Scientific reports · 2025Pooled it
- Resting State Electrophysiological Profiles and Their Relationship with Cognitive Performance in Cognitively Unimpaired Older Adults: A Systematic Review.Journal of Alzheimer's disease : JAD · 2024Pooled it
- Role of EEG in Measuring Cognitive Reserve: A Rapid Review.Frontiers in aging neuroscience · 2020Pooled it
- Effectiveness of Mobile-Delivered Exercise and Yoga Programs on Depressive Symptom Reduction in Employees: Randomized Controlled Trial.JMIR human factors · 2026Trial
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- Effect of a Tinnitus Sound Therapy Application on Tinnitus Relief.Yonsei medical journal · 2026Article
- EEG-based biomarker for the identification of mild cognitive impairment via coherency analysis and iterative dynamic time warping.Scientific reports · 2026Article
- Comparison of electroencephalogram waveforms in older patients with/without dementia after administration of midazolam: a prospective, observational comparative study.Journal of dental anesthesia and pain medicine · 2026Article
- Altered temporal dynamics of prefrontal ERP responses reflecting neural adaptation in patients with amnestic mild cognitive impairment.Alzheimer's research & therapy · 2026Article
- Neurophysiological correlates of taVNS-mediated cognitive enhancement.Clinical neurophysiology practice · 2026Article
- Resting-state EEG dual biomarker for motor-cognitive function in elderly individuals.Scientific reports · 2025Article
- EEG features associated with Alzheimer's disease and Frontotemporal dementia are not reflected by processed indices used in anesthesia monitoring.Journal of clinical monitoring and computing · 2025Article
- Dementia classification using two-channel electroencephalography features.Scientific reports · 2025Article
- Aperiodic EEG signatures: unveiling the interplay between APOE ε4 and mild cognitive impairment subtypes.Frontiers in aging neuroscience · 2025Article
- Improvement of neuropsychological and cognitive functions in older adults through transcranial vibroacoustic stimulation: a double blind, randomized, comparative trial.Frontiers in aging neuroscience · 2025Article
- The clinical efficacy and mechanism of gamma frequency electroacupuncture stimulation on the rehabilitation of upper limb motor function in stroke patients: study protocol of a randomized clinical trial.Frontiers in neurology · 2025Article
- Linking cognitive reserve to neuropsychological outcomes and resting-state frequency bands in healthy aging.Frontiers in aging neuroscience · 2025Article
- EEG biomarkers in Alzheimer's and prodromal Alzheimer's: a comprehensive analysis of spectral and connectivity features.Alzheimer's research & therapy · 2024Article
- Relationship between preinduction electroencephalogram patterns and propofol sensitivity in adult patients.Journal of clinical monitoring and computing · 2024Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We investigated whether cognitive decline could be explained by resting-state electroencephalography (EEG) biomarkers measured in prefrontal regions that reflect the slowing of intrinsic EEG oscillations. In an aged population dwelling in a rural community (total = 496, males = 165, females = 331), we estimated the global cognitive decline using the Mini-Mental State Examination (MMSE) and measured resting-state EEG parameters at the prefrontal regions of Fp1 and Fp2 in an eyes-closed state. Using a tertile split method, the subjects were classified as T3 (MMSE 28-30, N = 162), T2 (MMSE 25-27, N = 179), or T1 (MMSE ≤ 24, N = 155). The EEG slowing biomarkers of the median frequency, peak frequency and alpha-to-theta ratio decreased as the MMSE scores decreased from T2 to T1 for both sexes (-5.19 ≤ t-value ≤ -3.41 for males and -7.24 ≤ t-value ≤ -4.43 for females) after adjusting for age and education level. Using a double cross-validation procedure, we developed a prediction model for the MMSE scores using the EEG slowing biomarkers and demographic covariates of sex, age and education level. The maximum intraclass correlation coefficient between the MMSE scores and model-predicted values was 0.757 with RMSE = 2.685. The resting-state EEG biomarkers showed significant changes in people with early cognitive decline and correlated well with the MMSE scores. Resting-state EEG slowing measured in the prefrontal regions may be useful for the screening and follow-up of global cognitive decline in elderly individuals.
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