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.

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 / Babiloni, Claudio; Del Percio, Claudio; Pascarelli, Maria Teresa; Lizio, Roberta; Noce, Giuseppe; Lopez, Susanna; Rizzo, Marco; Ferri, Raffaele; Soricelli, Andrea; Nobili, Flavio; Arnaldi, Dario; Famà, Francesco; Orzi, Francesco; Buttinelli, Carla; Giubilei, Franco; Salvetti, Marco; Cipollini, Virginia; Franciotti, Raffaella; Onofrj, Marco; Stirpe, Paola; Fuhr, Peter; Gschwandtner, Ute; Ransmayr, Gerhard; Aarsland, Dag; Parnetti, Lucilla; Farotti, Lucia; Marizzoni, Moira; D'Antonio, Fabrizia; De Lena, Carlo; Güntekin, Bahar; Hanoğlu, Lutfu; Yener, Görsev; Emek-Savaş, Derya Durusu; Triggiani, Antonio Ivano; Taylor, John Paul; Mckeith, Ian; Stocchi, Fabrizio; Vacca, Laura; Hampel, Harald; Frisoni, Giovanni B.; De Pandis, Maria Francesca; Bonanni, Laura. - In: NEUROBIOLOGY OF AGING. - ISSN 0197-4580. - 77:(2019), pp. 112-127. [10.1016/j.neurobiolaging.2019.01.013]

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

Babiloni, Claudio;Del Percio, Claudio;Pascarelli, Maria Teresa;Lizio, Roberta;Noce, Giuseppe;Lopez, Susanna;Famà, Francesco;Orzi, Francesco;Buttinelli, Carla;Giubilei, Franco;Salvetti, Marco;Cipollini, Virginia;D'Antonio, Fabrizia;De Lena, Carlo;Stocchi, Fabrizio;
2019

Abstract

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.
2019
functional brain connectivity; mild cognitive impairment due to Alzheimer's disease (ADMCI); mild cognitive impairment due to dementia with Lewy body (DLBMCI); resting state EEG rhythms; neuroscience (all); aging; neurology (clinical); developmental biology; geriatrics and gerontology
01 Pubblicazione su rivista::01a Articolo in rivista
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 / Babiloni, Claudio; Del Percio, Claudio; Pascarelli, Maria Teresa; Lizio, Roberta; Noce, Giuseppe; Lopez, Susanna; Rizzo, Marco; Ferri, Raffaele; Soricelli, Andrea; Nobili, Flavio; Arnaldi, Dario; Famà, Francesco; Orzi, Francesco; Buttinelli, Carla; Giubilei, Franco; Salvetti, Marco; Cipollini, Virginia; Franciotti, Raffaella; Onofrj, Marco; Stirpe, Paola; Fuhr, Peter; Gschwandtner, Ute; Ransmayr, Gerhard; Aarsland, Dag; Parnetti, Lucilla; Farotti, Lucia; Marizzoni, Moira; D'Antonio, Fabrizia; De Lena, Carlo; Güntekin, Bahar; Hanoğlu, Lutfu; Yener, Görsev; Emek-Savaş, Derya Durusu; Triggiani, Antonio Ivano; Taylor, John Paul; Mckeith, Ian; Stocchi, Fabrizio; Vacca, Laura; Hampel, Harald; Frisoni, Giovanni B.; De Pandis, Maria Francesca; Bonanni, Laura. - In: NEUROBIOLOGY OF AGING. - ISSN 0197-4580. - 77:(2019), pp. 112-127. [10.1016/j.neurobiolaging.2019.01.013]
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