50 citations · 50 across the 3 of their papers we have counts for
4 papers
An Evidence-Aware Framework for EEG Microstate Analysis: Improved Sensitivity to Alzheimer's Disease and Ageing
Kaidong Wu, Haili Ye, Ptolemaios G Sarrigiannis +2
Electroencephalography (EEG) microstate analysis commonly converts each scalp topography into a winner-take-all hard label and summarises the resulting sequence using duration, occ…
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data
Dominik Klepl, Fei He, Min Wu +2
Graph neural network (GNN) models are increasingly being used for the classification of electroencephalography (EEG) data. However, GNN-based diagnosis of neurological disorders, s…
Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer's disease
Dominik Klepl, Fei He, Min Wu +2
Alzheimer's disease (AD) is a neurodegenerative disease known to affect brain functional connectivity (FC). Linear FC measures have been applied to study the differences in AD by s…
Characterising Alzheimer's Disease with EEG-based Energy Landscape Analysis
Dominik Klepl, Fei He, Min Wu +3
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases, with around 50 million patients worldwide. Accessible and non-invasive methods of diagnosing and char…