Are Resting‐State EEG Signals the Key to Decoding Functional Brain Networks in Alzheimer's Disease Spectrum?
This study focuses on leveraging EEG-based functional connectivity to investigate brain network alterations across the AD spectrum. By employing betweenness centrality we found significant connectivity changes in alpha band of EEGs. PREDICTOM is supported by the Innovative Health Initiative Joint Undertaking (IHI JU), under Grant Agreement No 101132356. JU receives support from the European Union's Horizon Europe research and innovation programme, COCIR, EFPIA, EuropaBio, MedTechEurope and Vaccines Europe. The UK participants are supported by UKRI Grant No 10083467 (National Institute for Health and Care Excellence), Grant No 10083181 (King's College London), and Grant No 10091560 (University of Exeter). University of Geneva is supported by the Swiss State Secretariat for Education, Research and Innovation Ref No 113152304. See www.ihi.europa.eu for more details.
Authors
- I. Kompatsiaris
- Kostas Geordiadis
- Spiros Nikolopoulos
- Ioulietta Lazarou
- Vangelis P Oikonomou
Institutions
- Centre for Research and Technology Hellas (GR)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_102533
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00