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Abnormalities of functional cortical source connectivity of resting-state electroencephalographic alpha rhythms are similar in patients with mild cognitive impairment due to Alzheimer's and Lewy body diseases

Lookup NU author(s): Professor John-Paul TaylorORCiD, Professor Ian McKeith

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Abstract

© 2019 Elsevier Inc. Previous evidence has shown different resting-state eyes-closed electroencephalographic delta (<4 Hz) and alpha (8–10.5 Hz) source connectivity in subjects with dementia due to Alzheimer's (ADD) and Lewy body (DLB) diseases. The present study tested if the same differences may be observed in the prodromal stages of mild cognitive impairment (MCI). Here, clinical and resting-state eyes-closed electroencephalographic data in age-, gender-, and education-matched 30 ADMCI, 23 DLBMCI, and 30 healthy elderly (Nold) subjects were available in our international archive. Mini-Mental State Evaluation (MMSE) score was matched in the ADMCI and DLBMCI groups. The eLORETA freeware estimated delta and alpha source connectivity by the tool called lagged linear connectivity (LLC). Area under receiver operating characteristic curve (AUROCC) indexed the classification accuracy among individuals. Results showed that widespread interhemispheric and intrahemispheric LLC solutions in alpha sources were abnormally lower in both MCI groups compared with the Nold group, but with no differences were found between the 2 MCI groups. AUROCCs of LLC solutions in alpha sources exhibited significant accuracies (0.72–0.75) in the discrimination of Nold versus ADMCI-DLBMCI individuals, but not between the 2 MCI groups. These findings disclose similar abnormalities in ADMCI and DLBMCI patients as revealed by alpha source connectivity. It can be speculated that source connectivity mostly reflects common cholinergic impairment in prodromal state of both AD and DLB, before a substantial dopaminergic derangement in the dementia stage of DLB.

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Author(s): Babiloni C, Del Percio C, Pascarelli MT, Lizio R, Noce G, Lopez S, Rizzo M, Ferri R, Soricelli A, Nobili F, Arnaldi D, Fama F, Orzi F, Buttinelli C, Giubilei F, Salvetti M, Cipollini V, Franciotti R, Onofrj M, Stirpe P, Fuhr P, Gschwandtner U, Ransmayr G, Aarsland D, Parnetti L, Farotti L, Marizzoni M, D'Antonio F, De Lena C, Guntekin B, Hanoglu L, Yener G, Emek-Savas DD, Triggiani AI, Taylor JP, McKeith I, Stocchi F, Vacca L, Hampel H, Frisoni GB, De Pandis MF, Bonanni L

Publication type: Article

Publication status: Published

Journal: Neurobiology of Aging

Year: 2019

Volume: 77

Pages: 112-127

Print publication date: 01/05/2019

Online publication date: 24/01/2019

Acceptance date: 16/01/2019

ISSN (print): 0197-4580

ISSN (electronic): 1558-1497

Publisher: Elsevier Inc.

URL: https://doi.org/10.1016/j.neurobiolaging.2019.01.013

DOI: 10.1016/j.neurobiolaging.2019.01.013

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