Scientific publications

Exploring Functional Brain Networks in Alzheimer’s Disease Using Resting State EEG Signals

Oikonomou, V. P., Georgiadis, K., Lazarou, I., Nikolopoulos, S., Kompatsiaris, I., & PREDICTOM Consortium. (2025). Exploring functional brain networks in Alzheimer’s disease using resting state EEG signals. J. Dement. Alzheimer's Dis., 2(2), 12. https://doi.org/10.3390/jdad2020012

The study found progressive changes in functional brain connectivity across stages of Alzheimer’s disease, marked by increased theta-band betweenness centrality and decreased centrality in the alpha and beta bands. Theta-band betweenness centrality showed the highest discriminative power in identifying disease stages. Connectivity metrics derived from EEG performed on par with advanced deep learning models, highlighting their promise as noninvasive and interpretable biomarkers for early detection and monitoring of Alzheimer’s disease.