Scientific publications
2025
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.
Latest news
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🧲 New MRI Technique to Speed Up Multi-Contrast MRI Scans and Advance Early Alzheimer’s Biomarker Discovery
A new publication from PREDICTOM introduces a promising method to dramatically accelerate multi-contrast brain MRI scans, without sacrificing image quality. The technique could pave the way for earlier and more accessible diagnosis of neurodegenerative diseases like Alzheimer’s disease.
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🧠 New Blood Test Clue in Alzheimer’s: Syndecan-3 Emerges as a Promising Biomarker
In a breakthrough that could reshape early detection of Alzheimer’s disease, researchers have identified a novel blood-based biomarker that may help distinguish Alzheimer’s patients from healthy individuals—potentially paving the way for simpler, less invasive diagnostics.
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