Details

Autor(en) / Beteiligte

• Babiloni, Claudio
• Del Percio, Claudio
• Lizio, Roberta
• Noce, Giuseppe
• Lopez, Susanna
• Soricelli, Andrea
• Ferri, Raffaele
• Pascarelli, Maria Teresa
• Catania, Valentina
• Nobili, Flavio
• Arnaldi, Dario
• Famà, Francesco
• Orzi, Francesco
• Buttinelli, Carla
• Giubilei, Franco
• Bonanni, Laura
• Franciotti, Raffaella
• Onofrj, Marco
• Stirpe, Paola
• Fuhr, Peter
• Gschwandtner, Ute
• Ransmayr, Gerhard
• Garn, Heinrich
• Fraioli, Lucia
• Pievani, Michela
• D'Antonio, Fabrizia
• De Lena, Carlo
• Güntekin, Bahar
• Hanoğlu, Lutfu
• Başar, Erol
• Yener, Görsev
• Emek-Savaş, Derya Durusu
• Triggiani, Antonio Ivano
• Taylor, John Paul
• De Pandis, Maria Francesca
• Vacca, Laura
• Frisoni, Giovanni B.
• Stocchi, Fabrizio

Titel

Functional cortical source connectivity of resting state electroencephalographic alpha rhythms shows similar abnormalities in patients with mild cognitive impairment due to Alzheimer’s and Parkinson’s diseases

Ist Teil von

• Clinical neurophysiology, 2018-04, Vol.129 (4), p.766-782

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2018

Link zum Volltext

Quelle

Elsevier ScienceDirect Journals Complete

Beschreibungen/Notizen

• •Alpha source connectivity was similarly reduced in both mild cognitive impairment due to Alzheimer’s (ADMCI) and Parkinson’s (PDMCI) disease.•Delta source connectivity was normal in those groups.•Alpha source connectivity might reflect (common) cholinergic impairment in ADMCI and PDMCI. This study tested the hypothesis that markers of functional cortical source connectivity of resting state eyes-closed electroencephalographic (rsEEG) rhythms may be abnormal in subjects with mild cognitive impairment due to Alzheimer’s (ADMCI) and Parkinson’s (PDMCI) diseases compared to healthy elderly subjects (Nold). rsEEG data had been collected in ADMCI, PDMCI, and Nold subjects (N = 75 for any group). eLORETA freeware estimated functional lagged linear connectivity (LLC) from rsEEG cortical sources. Area under receiver operating characteristic (AUROC) curve indexed the accuracy in the classification of Nold and MCI individuals. Posterior interhemispheric and widespread intrahemispheric alpha LLC solutions were abnormally lower in both MCI groups compared to the Nold group. At the individual level, AUROC curves of LLC solutions in posterior alpha sources exhibited moderate accuracies (0.70–0.72) in the discrimination of Nold vs. ADMCI-PDMCI individuals. No differences in the LLC solutions were found between the two MCI groups. These findings unveil similar abnormalities in functional cortical connectivity estimated in widespread alpha sources in ADMCI and PDMCI. This was true at both group and individual levels. The similar abnormality of alpha source connectivity in ADMCI and PDMCI subjects might reflect common cholinergic impairment.