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Anis Yazidi

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Open access Oct 2026

Frequency-Resolved Connectivity Graphs for EEG-Based Classification of Alzheimer and Frontotemporal Dementia

In this study, we build EEG based graph model that uses frequency-resolved connectivity features, with Coherence, phase locking value (PLV) and phase lag index (PLI) in five frequency bands as multi-dimensional edge features. The model is used to classify Alzheimer’s disease (AD) and frontotemporal dementia (FTD) again...

Mohamed Radwan, Pedro G. Lind, Anis Yazidi · 0 citations

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