ArticleScientific reports2022
Differentiating amnestic from non-amnestic mild cognitive impairment subtypes using graph theoretical measures of electroencephalography.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effects of non-pharmacological interventions on the depressive outcomes in people with mild cognitive impairment: an overview of systematic reviews.Frontiers in psychiatry · 2024Pooled it
- Brain network analysis for the discrimination of dementia disorders using electrophysiology signals: A systematic review.Frontiers in aging neuroscience · 2023Pooled it
- A qualitative exploration of 40 Hz sound and music for older adults with mild cognitive impairment.Geriatric nursing (New York, N.Y.)Trial
- Longitudinal Trajectories of Cognitive Control and Theory of Mind in Amnestic and Non-Amnestic Mild Cognitive Impairment: Prospective Associations of Objective Sleep Duration.Journal of clinical medicine · 2026Article
- High-density EEG network analysis in MCI: an exploratory study of electrode density and cognitive performance.Frontiers in aging neuroscience · 2026Article
- Pharmacological Management of Mild Cognitive Impairment: From Symptomatic Treatment to Disease Modification-A Narrative Review.NeuroSci · 2025Review
- 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
- Sleep Trajectories in Amnestic and Non-Amnestic MCI: Longitudinal Insights from Subjective and Objective Assessments.Diagnostics (Basel, Switzerland) · 2025Article
- Predicting progression from amnestic mild cognitive impairment to Alzheimer's disease using longitudinal EEG data: a 12-month cohort study.Frontiers in aging neuroscience · 2025Article
- Aperiodic EEG signatures: unveiling the interplay between APOE ε4 and mild cognitive impairment subtypes.Frontiers in aging neuroscience · 2025Article
- Neural markers of reduced arousal and consciousness in mild cognitive impairment.International journal of geriatric psychiatry · 2024Article
- An EEG-based framework for automated discrimination of conversion to Alzheimer's disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study.Frontiers in aging neuroscience · 2024Article
- Mitochondria-sequestered Aβ renders synaptic mitochondria vulnerable in the elderly with a risk of Alzheimer disease.JCI insight · 2023Article
- Structural Network Topology Reveals Higher Brain Resilience in Individuals with Preclinical Alzheimer's Disease.Brain connectivity · 2023Article
- Inherent seizure susceptibility in patients with antihistamine-induced acute symptomatic seizure: a resting-state EEG analysis.Scientific reports · 2023Article
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10 authors.
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Abstract
The purpose of this study was to explore different patterns of functional networks between amnestic mild cognitive impairment (aMCI) and non-aMCI (naMCI) using electroencephalography (EEG) graph theoretical analysis. The data of 197 drug-naïve individuals who complained cognitive impairment were reviewed. Resting-state EEG data was acquired. Graph analyses were performed and compared between aMCI and naMCI, as well as between early and late aMCI. Correlation analyses were conducted between the graph measures and neuropsychological test results. Machine learning algorithms were applied to determine whether the EEG graph measures could be used to distinguish aMCI from naMCI. Compared to naMCI, aMCI showed higher modularity in the beta band and lower radius in the gamma band. Modularity was negatively correlated with scores on the semantic fluency test, and the radius in the gamma band was positively correlated with visual memory, phonemic, and semantic fluency tests. The naïve Bayes algorithm classified aMCI and naMCI with 89% accuracy. Late aMCI showed inefficient and segregated network properties compared to early aMCI. Graph measures could differentiate aMCI from naMCI, suggesting that these measures might be considered as predictive markers for progression to Alzheimer's dementia in patients with MCI.
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