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

• DOI: 10.3390/brainsci10060392
• Publication Date: 2020-06-19T16:19:55Z
• Authors: Ioulietta Lazarou; Kostas Georgiadis; Spiros Nikolopoulos; Vangelis P. Oikon...; Anthoula Tsolaki; Ioannis Kompatsiaris; Magda Tsolaki; Dimitris Kugiumtzis
• Keywords: Cognitive Decline

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