Publication

Babiloni C, Lopez S, Noce G, Del Percio C, Lizio R, Jakhar D, De Bartolo M, Ferri R, Carducci F, Catania V, Soricelli A, Salvatore M, Arnaldi D, Famà F, Brugnolo A, Pardini M, Giubilei F, Stocchi F, Vacca L, Coletti C, D'Antonio F, Bruno G, Güntekin B, Hanoğlu L, Yırıkoğulları H, Yener G, Russo G, Marizzoni M, Frisoni GB, Rotondo R, D'Alessandro T, Cilia ND, De Pandis MF, Santoro A, Marziali S, De Stefano C, Fontanella F.

Enriched resting-state EEG prediction of cognitive decline in prodromal Alzheimer's disease: a machine-learning approach.

IClin Neurophysiol. 2026 Mar 25;186:2111860, https://doi.org/10.1016/j.clinph.2026.2111860  


This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101058516. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or other granting authorities. Neither the European Union nor other granting authorities can be held responsible for them.