ArticleAlzheimer's & dementia (Amsterdam, Netherlands)
Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization.
Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Generalizability of EEG-Based DEMENTIA Classifiers: A Multicenter study of Alzheimer's, MCI, and FTD.medRxiv : the preprint server for health sciences · 2026Article
- Source-space EEG alpha activity reveals brain age gaps due to neurodegeneration and disparity.Communications biology · 2026Article
- The exposome of brain aging across 34 countries.Nature medicine · 2026Article
- Dynamic brain synergy uncovers functional neural coordination in Parkinson's disease under dopaminergic modulation.Journal of neuroengineering and rehabilitation · 2026Article
- Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer's risk classification.PloS one · 2026Article
- Feature similarity, a sensitive method to capture the functional interaction of brain regions and networks to support flexible behavior.Communications biology · 2025Article
- Building blocks of functional connectivity measures for aperiodic electrophysiological brain signals.Neuroimage. Reports · 2025Article
- Emergence of multiple spontaneous coherent subnetworks from a single configuration of human connectome coupled oscillators model.Scientific reports · 2024Article
- Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations.Nature medicine · 2024Article
- Structural inequality and temporal brain dynamics across diverse samples.Clinical and translational medicine · 2024Article
- Brain health in diverse settings: How age, demographics and cognition shape brain function.NeuroImage · 2024Article
- Brain clocks capture diversity and disparity in aging and dementia.Research square · 2024Article
- Multi-Threshold Recurrence Rate Plot: A Novel Methodology for EEG Analysis in Alzheimer's Disease and Frontotemporal Dementia.Brain sciences · 2024Article
- Alzheimer's disease diagnosis using rhythmic power changes and phase differences: a low-density EEG study.Frontiers in aging neuroscience · 2024Article
- Elevating understanding: Linking high-altitude hypoxia to brain aging through EEG functional connectivity and spectral analyses.Network neuroscience (Cambridge, Mass.) · 2024Article
- Harmonized multi-metric and multi-centric assessment of EEG source space connectivity for dementia characterization.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- Multi-site harmonization for magnetoencephalography spectral power data.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
12 authors.
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Abstract
Introduction: Harmonization protocols that address batch effects and cross-site methodological differences in multi-center studies are critical for strengthening electroencephalography (EEG) signatures of functional connectivity (FC) as potential dementia biomarkers. Methods: We implemented an automatic processing pipeline incorporating electrode layout integrations, patient-control normalizations, and multi-metric EEG source space connectomics analyses. Results: Spline interpolations of EEG signals onto a head mesh model with 6067 virtual electrodes resulted in an effective method for integrating electrode layouts. Z-score transformations of EEG time series resulted in source space connectivity matrices with high bilateral symmetry, reinforced long-range connections, and diminished short-range functional interactions. A composite FC metric allowed for accurate multicentric classifications of Alzheimer's disease and behavioral variant frontotemporal dementia. Discussion: Harmonized multi-metric analysis of EEG source space connectivity can address data heterogeneities in multi-centric studies, representing a powerful tool for accurately characterizing dementia.
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