Classification of Single Normal and Alzheimer's Disease Individuals from Cortical Sources of Resting State EEG Rhythms
Contributeurs/tricesBabiloni, Claudio; Triggiani, Antonio I.; Lizio, Roberta; Cordone, Susanna; Tattoli, Giacomo; Bevilacqua, Vitoantonio; Soricelli, Andrea; Ferri, Raffaele; Nobili, Flavio; Gesualdo, Loreto; Millán-Calenti, José C.; Buján, Ana; Tortelli, Rosanna; Cardinali, Valentina; Barulli, Maria Rosaria; Giannini, Antonio; Spagnolo, Pantaleo; Armenise, Silvia; Buenza, Grazia; Scianatico, Gaetano; Logroscino, Giancarlo; Frisoni, Giovanni; del Percio, Claudio
Publié dansFrontiers in neuroscience, vol. 10
Date de publication2016
Résumé
Mots-clés
- Alzheimer's disease (AD)
- Alpha rhythms
- Area under the receiver operating characteristic curve (AUROC)
- Delta rhythms
- Electroencephalography (EEG)
- Exact low-resolution brain electromagnetic tomography (eLORETA)
- Lagged linear connectivity
- Spectral coherence
Structure d'affiliation
Groupe de recherche
Citation (format ISO)
BABILONI, Claudio et al. Classification of Single Normal and Alzheimer’s Disease Individuals from Cortical Sources of Resting State EEG Rhythms. In: Frontiers in neuroscience, 2016, vol. 10. doi: 10.3389/fnins.2016.00047
Fichiers principaux (1)
Article (Published version)
Identifiants
- PID : unige:83553
- DOI : 10.3389/fnins.2016.00047
ISSN du journal1662-453X