ArticleFrontiers in neuroscience2021
Differences in Multimodal Electroencephalogram and Clinical Correlations Between Early-Onset Alzheimer's Disease and Frontotemporal Dementia.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 26 citations in OpenAlex.
- Resting-State EEG Microstate Dynamics as Neurophysiological Biomarkers Across the Alzheimer's Disease Continuum: A Systematic Review.Diagnostics (Basel, Switzerland) · 2026Review
- 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
- Quantitative EEG signatures of power and functional connectivity alterations in Alzheimer's disease and frontotemporal dementia.Scientific reports · 2026Article
- EEG-based classification of alzheimer's disease and frontotemporal dementia using functional connectivity.Scientific reports · 2026Article
- White matter hyperintensity drives EEG microstate abnormalities in arteriosclerotic cerebral small vessel disease.Frontiers in neuroscience · 2026Article
- EEG Microstate Differences Between Alzheimer's Disease, Frontotemporal Dementia, and Healthy Controls Using 4 and 7 Clustering Classes with a Ratio Approach.Medicina (Kaunas, Lithuania) · 2025Article
- Abnormal EEG microstates in Alzheimer's disease: predictors of β-amyloid deposition degree and disease classification.GeroScience · 2024Article
- Changes of brain functional network in Alzheimer's disease and frontotemporal dementia: a graph-theoretic analysis.BMC neuroscience · 2024Article
- A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer's Disease with Electroencephalography in Resting-State Adults.Brain sciences · 2024Article
- Neurophysiological markers of early cognitive decline in older adults: a mini-review of electroencephalography studies for precursors of dementia.Frontiers in aging neuroscience · 2024Review
- Electroencephalography in young onset dementia.BMC neurology · 2023Article
- EEG spectral and microstate analysis originating residual inhibition of tinnitus induced by tailor-made notched music training.Frontiers in neuroscience · 2023Article
- Therapeutic Role of Repetitive Transcranial Magnetic Stimulation in Alzheimer's and Parkinson's Disease: Electroencephalography Microstate Correlates.Frontiers in neuroscience · 2022Article
- F-Value Time-Frequency Analysis: Between-Within Variance Analysis.Frontiers in neuroscience · 2021Article
- The Therapeutic and Diagnostic Potential of Amyloid β Oligomers Selective Antibodies to Treat Alzheimer's Disease.Frontiers in neuroscience · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlzheimer's disease (AD) and frontotemporal dementia (FTD) are the two main types of dementia. We investigated the electroencephalogram (EEG) difference and clinical correlation in early-onset Alzheimer's disease (EOAD), and FTD using multimodal EEG analyses. EOAD had more severe EEG abnormalities than late-onset AD (LOAD). Group comparisons between EOAD and LOAD were also performed.
methodsThirty patients diagnosed with EOAD, nine patients with LOAD, and 14 patients with FTD (≤65 y) were recruited (2008.1-2020.2), along with 24 healthy controls (≤65 y,
resultsCompared to controls, markedly increased mean microstate duration, reduced mean occurrence, and reduced global field power (GFP) peaks per second were observed in EOAD and FTD. We found increased durations of class B in EOAD and class A in FTD. EOAD had reduced occurrences in classes A, B, and C, while only class C occurrence was reduced in FTD. The visual EEG results did not differ between AD and FTD. Microstate B showed correlations with activities of daily living score (
conclusionThe current study found that EOAD and FTD had different EEG changes, and microstate had an association with clinical severity and CSF biomarkers. EEG microstate is more sensitive than visual EEG and may be useful for the differentiation between AD and FTD. The observations support that EEG can be a potential biomarker for the diagnosis and assessment of early-onset dementias.
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