ArticleInternational journal of psychophysiology : official journal of the International Organization of Psychophysiology2022
EEG asymmetry and cognitive testing in MCI identification.
Article in International journal of psychophysiology : official journal of the International Organization of Psychophysiology, 2022. 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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Who cites it
9 citing papers in PubMed.
- EEG-based biomarker for the identification of mild cognitive impairment via coherency analysis and iterative dynamic time warping.Scientific reports · 2026Article
- EEG hemispheric asymmetry and behavioral responsiveness following rTMS in unresponsive wakefulness syndrome: an exploratory study.Journal of neuroengineering and rehabilitation · 2026Article
- States, traits, and the resting state EEG task aftereffect.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2025Article
- Resting-State EEG Power Spectral Density Analysis Between Healthy and Cognitively Impaired Subjects.Brain sciences · 2025Article
- Characteristics of the top 100 cited electroencephalography articles on aging: a bibliometric analysis.American journal of translational research · 2024Article
- Exploratory Study on Chemosensory Event-Related Potentials in Long COVID-19 and Mild Cognitive Impairment: A Common Pathway?Bioengineering (Basel, Switzerland) · 2023Article
- Mild Cognitive Impairment in African Americans Is Associated with Differences in EEG Theta/Beta Ratio.Journal of Alzheimer's disease : JAD · 2023Article
- Classification of cognitive impairment in older adults based on brain functional state measurement data via hierarchical clustering analysis.Frontiers in aging neuroscience · 2023Article
- Synergy through integration of digital cognitive tests and wearable devices for mild cognitive impairment screening.Frontiers in human neuroscience · 2023Article
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Authors and funding
3 authors.
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Abstract
backgroundFinding the baseline resting-state EEG markers for early identification of cognitive decline can contribute to the identification of individuals at risk of further change. Potential applications include identifying participants for clinical trials, early treatment, and evaluation of treatment, accessible even from a community setting.
methodsAnalyses were completed on a sample of 99 (ages 60-90) consensus-diagnosed, community-dwelling African Americans (58 cognitively typical/HC, and 41 mildly cognitively impaired/MCI), who were recruited from the Michigan Alzheimer's Disease Research Center (MADRC) and the Wayne State University Institute of Gerontology. In addition to neuropsychological testing with CogState and Toolbox computerized batteries, resting-state EEGs (rsEEG, eyes closed) were acquired before and after participants were engaged in a visual motion direction discrimination task. rsEEG frontal alpha asymmetry (FAA) and frontal beta asymmetry (FBA) were calculated.
resultsFAA showed no difference across groups for the pre-task resting state. FBA was significantly different between groups, with more asymmetric frontal beta in MCI. Both physiological indices, however, along with computerized neuropsychological tests were significant predictors in logistic regression classification of MCI vs. control participants.
conclusionrsEEG asymmetries can contribute significantly to successful discrimination of older persons with MCI from those without, over and above cognitive testing, alone.
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