Ptolemaios Georgios Sarrigiannis

Cross-Frequency Multilayer Network Analysis with Bispectrum-based Functional Connectivity: A Study of Alzheimer's Disease

This study uses cross-frequency multilayer network analysis to show increased low-frequency coupling and decreased high-frequency coupling in Alzheimer's disease compared to healthy controls, improving classification performance.

EEG-based Graph Neural Network Classification of Alzheimer's Disease: An Empirical Evaluation of Functional Connectivity Methods

This study evaluates graph neural networks for Alzheimer's disease classification using EEG-based functional connectivity measures, finding that GNNs outperform baselines but no single FC measure consistently dominates.

Kernel-based Nonlinear Manifold Learning for EEG Channel Selection with Application to Alzheimer's Disease

This paper introduces a kernel-based nonlinear manifold learning method for EEG channel selection to distinguish Alzheimer's disease patients from healthy controls.