ArticleFrontiers in neuroscience2019
Microstate Changes Associated With Alzheimer's Disease in Persons With Down Syndrome.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- EEG hyperscanning in intellectual disability: a scoping review with implications for cognitive stimulation therapy.Frontiers in neuroergonomics · 2026Review
- Virtual Reality Experience as Reflected in EEG Microstates.Brain topography · 2025Article
- Neural Correlates of Huntington's Disease Based on Electroencephalography (EEG): A Mechanistic Review and Discussion of Excitation and Inhibition (E/I) Imbalance.Journal of clinical medicine · 2025Review
- Resting-state EEG microstate analysis of internet gaming disorder and alcohol use disorder.Dialogues in clinical neuroscience · 2024Article
- EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain Dynamics.Frontiers in neuroscience · 2022Article
- Neuropsychiatric Symptoms of Alzheimer's Disease in Down Syndrome and Its Impact on Caregiver Distress.Journal of Alzheimer's disease : JAD · 2021Article
- Dual-Threshold-Based Microstate Analysis on Characterizing Temporal Dynamics of Affective Process and Emotion Recognition From EEG Signals.Frontiers in neuroscience · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Down syndrome (DS) is associated with development of dementia due to Alzheimer's disease (AD). However, due to considerable heterogeneity in intellectual function among persons with DS, it is difficult to assess whether a person with DS has developed dementia due to AD (DS-AD). EEG spectral power has previously shown very promising results with increased slowing in DS-AD compared to DS. However, another technique called microstates may be used to assess whole-brain dynamics and has to our knowledge not previously been investigated in either DS or DS-AD. The aim of the current study was to assess whether microstates could be used to differentiate between adults with DS, and DS-AD. We included EEGs from 10 persons with DS and 15 persons with DS-AD in the analysis. For the microstate analyses, we calculated four global maps, which were then back-fitted to all the EEGs. Lastly, we extracted the duration, occurrence, and coverage for each of the microstates. Here, we found the four archetypical maps as has previously been reported in the literature. We did not find any significant difference between DS and DS-AD but the largest difference in microstate duration between DS and DS-AD was found in microstate A and D. These findings are in line with structural MR studies showing that both the frontal and temporal lobes are affected in persons with DS-AD. Microstates may potentially serve as a diagnostic marker, but larger studies are needed to confirm these findings.
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