ArticleScientific reports2020
EEG microstate complexity for aiding early diagnosis of Alzheimer's disease.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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Who cites it
79 citing papers in PubMed, 154 citations in OpenAlex.
- Relational Integration Training Modulated the Frontoparietal Network for Fluid Intelligence: An EEG Microstates Study.Brain topography · 2025Trial
- Resting-State EEG Microstate Dynamics as Neurophysiological Biomarkers Across the Alzheimer's Disease Continuum: A Systematic Review.Diagnostics (Basel, Switzerland) · 2026Review
- Alzheimer's Disease Detection Using Combined EEG Source Connectivity and Microstate Features.Brain sciences · 2026Article
- EEG Microstate Alterations in Eyes-Open and Eyes-Closed Resting States Across the Alzheimer's Disease Continuum.Journal of clinical medicine · 2026Article
- Prefrontal Cortical Asymmetry and Motor Slowing in Older Women: EEG Evidence That Fear of Falling Modulates Emotional Valence and Reaction Time.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2026Article
- Microstate permutation complexity of EEG signals distinguishes minimally conscious state plus from minimally conscious state minus.Journal of neuroengineering and rehabilitation · 2026Article
- An interpretable deep learning diagnostic framework for early Alzheimer's disease based on EEG microstate spectra and multi-branch CNN.Journal of neuroengineering and rehabilitation · 2026Article
- A Quantitative Comparison of Two Methods for Higher-Order EEG Microstate Syntax Analysis.Brain topography · 2026Article
- Fusion of Multi-Paradigm EEG Microstate Features to Enhance the Recognition of Mild Cognitive Impairment.Brain and behavior · 2026Article
- EEG Unpredictability in the Resting State of Major Depressive Disorder: A Multidomain EEG Analysis.Brain topography · 2026Article
- EEG microstate reconfiguration across cognitive states in preschool children with developmental language disorder.Frontiers in neuroscience · 2026Article
- Microstates and connectivity states reveal task-related network reorganization in Alzheimer's disease patients.Clinical neurophysiology practice · 2026Article
- Resting-state EEG microstates link neural dynamics to fluid intelligence in mild cognitive impairment.Frontiers in aging neuroscience · 2026Article
- Article
- Personalized prevention of neurodegenerative diseases: scoping review and evidence gap map.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- MSRLNet: A Multi-Source Fusion and Feedback Network for EEG Feature Recognition in ADHD.Brain sciences · 2025Article
- Disruption of low-frequency narrowband EEG microstate networks in Parkinson's disease with mild cognitive impairment.Journal of neuroengineering and rehabilitation · 2025Article
- PRISMA Systematic Review of Electroencephalographic (EEG) Microstates as Biomarkers: Secondary Findings in Memory Functions.Neurology international · 2025Review
- Mental Health and Aging: Identifying Risk and Protective Factors of Anxiety and Depression in Older Women.Aging medicine (Milton (N.S.W)) · 2025Article
- Analysis of brain dynamics changes in patients with cerebral small vessel disease-related cognitive impairment based on electroencephalogram microstates.European journal of medical research · 2025Article
19 more citing papers are in PubMed but not listed here.
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Authors and funding
12 authors at 4 institutions in 2 countries.
Funding
Abstract
The dynamics of the resting brain exhibit transitions between a small number of discrete networks, each remaining stable for tens to hundreds of milliseconds. These functional microstates are thought to be the building blocks of spontaneous consciousness. The electroencephalogram (EEG) is a useful tool for imaging microstates, and EEG microstate analysis can potentially give insight into altered brain dynamics underpinning cognitive impairment in disorders such as Alzheimer's disease (AD). Since EEG is non-invasive and relatively inexpensive, EEG microstates have the potential to be useful clinical tools for aiding early diagnosis of AD. In this study, EEG was collected from two independent cohorts of probable AD and cognitively healthy control participants, and a cohort of mild cognitive impairment (MCI) patients with four-year clinical follow-up. The microstate associated with the frontoparietal working-memory/attention network was altered in AD due to parietal inactivation. Using a novel measure of complexity, we found microstate transitioning was slower and less complex in AD. When combined with a spectral EEG measure, microstate complexity could classify AD with sensitivity and specificity > 80%, which was tested on an independent cohort, and could predict progression from MCI to AD in a small preliminary test cohort of 11 participants. EEG microstates therefore have potential to be a non-invasive functional biomarker of AD.
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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.