Memorization Test and Resting State EEG Components in Mild and Subjective Cognitive Impairment

Mazzon, Giulia; Dea, Federica De; Cattaruzza, Tatiana; Manganotti, Paolo; Monti, Fabrizio; Accardo, Agostino

doi:10.2174/1567205015666180427114520

Cited by 16 publications

(11 citation statements)

References 58 publications

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“…Cognitive decline is a hallmark of aging [35], also being correlated to a reduction in frontal α-band power in resting state, baseline EEG [36]. In recent years, frontal α-band power has even been suspected to be a prognostic factor, distinguishing patients with mild cognitive deficits (MCI) who will develop a dementia within the next years from MCI patients who will not suffer a further cognitive decline [37].…”

Section: Discussionmentioning

confidence: 99%

Cognitive Impairment Is Associated with Absolute Intraoperative Frontal α-Band Power but Not with Baseline α-Band Power: A Pilot Study

Koch

Feinkohl

Chakravarty³

et al. 2019

Dement Geriatr Cogn Disord

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Section: Discussionmentioning

confidence: 99%

Cognitive Impairment Is Associated with Absolute Intraoperative Frontal α-Band Power but Not with Baseline α-Band Power: A Pilot Study

Koch

Feinkohl

Chakravarty³

et al. 2019

Dement Geriatr Cogn Disord

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“…This particular cognitive status, which is presented before severe dementia, is named MCI [5], whereas the subjective concern of problems related to memory by the elderly without indicative neuropsychological abnormal results is called SCD [6]. Both conditions are linked with wide brain modifications, as well as cognitive decline related to dementia [7][8][9][10][11][12][13]. However, it is unclear which of the SCD individuals will progress to MCI and AD [14,15].…”

Section: Clinical Validity Of Scd In Ad Continuummentioning

confidence: 99%

A Novel Connectome-based Electrophysiological Study of Subjective Cognitive Decline Related to Alzheimer’s Disease by Using Resting-state High-density EEG EGI GES 300

et al. 2020

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Aim: To investigate for the first time the brain network in the Alzheimer’s disease (AD) spectrum by implementing a high-density electroencephalography (HD-EEG - EGI GES 300) study with 256 channels in order to seek if the brain connectome can be effectively used to distinguish cognitive impairment in preclinical stages. Methods: Twenty participants with AD, 30 with mild cognitive impairment (MCI), 20 with subjective cognitive decline (SCD) and 22 healthy controls (HC) were examined with a detailed neuropsychological battery and 10 min resting state HD-EEG. We extracted correlation matrices by using Pearson correlation coefficients for each subject and constructed weighted undirected networks for calculating clustering coefficient (CC), strength (S) and betweenness centrality (BC) at global (256 electrodes) and local levels (29 parietal electrodes). Results: One-way ANOVA presented a statistically significant difference among the four groups at local level in CC [F (3, 88) = 4.76, p = 0.004] and S [F (3, 88) = 4.69, p = 0.004]. However, no statistically significant difference was found at a global level. According to the independent sample t-test, local CC was higher for HC [M (SD) = 0.79 (0.07)] compared with SCD [M (SD) = 0.72 (0.09)]; t (40) = 2.39, p = 0.02, MCI [M (SD) = 0.71 (0.09)]; t (50) = 0.41, p = 0.004 and AD [M (SD) = 0.68 (0.11)]; t (40) = 3.62, p = 0.001 as well, while BC showed an increase at a local level but a decrease at a global level as the disease progresses. These findings provide evidence that disruptions in brain networks in parietal organization may potentially represent a key factor in the ability to distinguish people at early stages of the AD continuum. Conclusions: The above findings reveal a dynamically disrupted network organization of preclinical stages, showing that SCD exhibits network disorganization with intermediate values between MCI and HC. Additionally, these pieces of evidence provide information on the usefulness of the 256 HD-EEG in network construction.

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“…More specifically, there is a growing body of literature suggesting that Subjective Cognitive Decline (SCD) is associated with the presence of brain changes and disorganization of early cognitive decline related to AD (Reisberg and Gauthier 2008;Rodda et al 2011;Lazarou et al 2018;Mazzon et al 2018). Several longitudinal studies have also underlined the important role of this stage as a precursor of future cognitive decline such as dementia (Ferris and Reisberg 1993;Geerlings et al 1999;Jorm et al 2001;St John and Montgomery 2002;Amariglio et al 2018;Bessi et al 2018;Snitz et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Is brain connectome research the future frontier for subjective cognitive decline? A systematic review

Lazarou

Nikolopoulos

Dimitriadis

et al. 2019

Clinical Neurophysiology

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Memorization Test and Resting State EEG Components in Mild and Subjective Cognitive Impairment

Abstract: This study draws attention on the importance of nonlinear approach in EEG analysis and the potential role of cognitive task in highlighting EEG alterations at very early stages of cognitive impairment; EEG could therefore have a practical impact on dementia diagnosis.

Cited by 16 publications

References 58 publications

Cognitive Impairment Is Associated with Absolute Intraoperative Frontal α-Band Power but Not with Baseline α-Band Power: A Pilot Study

Cognitive Impairment Is Associated with Absolute Intraoperative Frontal α-Band Power but Not with Baseline α-Band Power: A Pilot Study

A Novel Connectome-based Electrophysiological Study of Subjective Cognitive Decline Related to Alzheimer’s Disease by Using Resting-state High-density EEG EGI GES 300

Is brain connectome research the future frontier for subjective cognitive decline? A systematic review

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