ArticleFrontiers in psychiatry2023
Resting-state electroencephalographic characteristics related to mild cognitive impairments.
Article in Frontiers in psychiatry, 2023. 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.
- Multi-Site Theta-tACS Improves Memory and Language Performance and Associated Local and Remote Functional Connectivity in Mild Cognitive Impairment.CNS neuroscience & therapeutics · 2025Trial
- High-density EEG network analysis in MCI: an exploratory study of electrode density and cognitive performance.Frontiers in aging neuroscience · 2026Article
- Resting-State EEG Power and Aperiodic Activity in Individuals with Mild Cognitive Impairment and Cognitively Healthy Controls.Brain sciences · 2025Article
- Feeding the mind: preliminary insights into the effects of Anthocyanin-Rich Extract from black carrots on brain activity and gut microbiota in patients with cognitive impairments.Scientific reports · 2025Article
- Exploration of working memory retrieval stage for mild cognitive impairment: time-varying causality analysis of electroencephalogram based on dynamic brain networks.Journal of neuroengineering and rehabilitation · 2025Article
- VR Cognitive-based Intervention for Enhancing Cognitive Functions and Well-being in Older Adults with Mild Cognitive Impairment: Behavioral and EEG Evidence.Psychosocial intervention · 2025Article
- Is Neurodegeneration Accelerated? Investigating COVID-19's Impact on Dementia via Functional Connectivity.Noro psikiyatri arsivi · 2025Article
- Exploring the Relationship between Behavioral and Neurological Impairments Due to Mild Cognitive Impairment: Correlation Study between Virtual Kiosk Test and EEG-SSVEP.Sensors (Basel, Switzerland) · 2024Article
- Exploring the neural mechanisms of mild cognitive impairment in elderly patients with coronary artery disease using machine learning and source-localized EEG.Frontiers in neurologyArticle
- fNIRS-based early identification of mild cognitive impairment: a large-scale multi-paradigm study with ensemble machine learning models.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alzheimer's disease (AD) causes a rapid deterioration in cognitive and physical functions, including problem-solving, memory, language, and daily activities. Mild cognitive impairment (MCI) is considered a risk factor for AD, and early diagnosis and treatment of MCI may help slow the progression of AD. Electroencephalography (EEG) analysis has become an increasingly popular tool for developing biomarkers for MCI and AD diagnosis. Compared with healthy elderly, patients with AD showed very clear differences in EEG patterns, but it is inconclusive for MCI. This study aimed to investigate the resting-state EEG features of individuals with MCI (
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