Early diagnosis of mild cognitive impairment and Alzheimer's with event-related potentials and event-related desynchronization in N-back working memory tasks. (October 2018)

• Record Type: Journal Article
• Authors: Fraga, Francisco J.; Mamani, Godofredo Quispe; Johns, Erin; Tavares, Guilherme; Falk, Tiago H.; Phillips, Natalie A.
• Is Part Of: Computer methods and programs in biomedicine. Volume 164(2018)
• Page Start: 1
• Page End: 13
• Publication Date: 2018-10
• Subjects: Alzheimer'S disease -- Mild cognitive impairment -- Working memory -- Event-related potentials -- Event-related (de)synchronization; Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2018.06.011
• Languages: English
• ISSNs: 0169-2607

Abstract

Highlights: In this study we performed a thorough investigation on the use of event-related potentials (ERP) and event-related (de)synchronization (ERD/ERS) for early Alzheimer's disease (AD) diagnosis. We compared behavioral results (reaction time and accuracy), ERP and ERD/ERS responses when healthy elderly (HE) controls, Mild Cognitive Impairment (MCI) and mild AD patients were performing a three-level N-Back working memory task. Our most important finding was that ERD/ERS analyses have revealed themselves more valuable than ERP, since they showed significant differences in all three group comparisons: HE vs. MCI, HE vs. AD, and MCI vs. AD. Abstract: Background and Objective: In this study we investigate whether or not event-related potentials (ERP) and/or event-related (de)synchronization (ERD/ERS) can be used to differentiate between 27 healthy elderly (HE), 21 subjects diagnosed with mild cognitive impairment (MCI) and 15 mild Alzheimer's disease (AD) patients. Methods: Using 32-channel EEG recordings, we measured ERP responses to a three-level ( N-back, N = 0, 1, 2) visual working memory task. We also performed ERD analysis over the same EEG data, dividing the full-band signal into the well-known delta, theta, alpha, beta and gamma bands. Both ERP and ERD analyses were followed by cluster analysis with correction for multicomparisons whenever significant differences were found between groups. Results: Regarding ERP (full-band analysis), our findings have shown both patient groups (MCI and AD) with reduced P450 amplitude (compared to HE controls) in the execution of the non-match 1-back task at many scalp electrodes, chiefly at parietal and centro-parietal areas. However, no significant differences were found between MCI and AD in ERP analysis whatever was the task. As for sub-band analyses, ERD/ERS measures revealed that HE subjects elicited consistently greater alpha ERD responses than MCI and AD patients during the 1-back task in the match condition, with all differences located at frontal, central and occipital regions. Moreover, in the non-match condition, it was possible to distinguish between MCI and AD patients when they were performing the 0-back task, with MCI presenting more desynchronization than AD on the theta band at temporal and fronto-temporal areas. In summary, ERD analyses have revealed themselves more valuable than ERP, since they showed significant differences in all three group comparisons: HE vs. MCI, HE vs. AD, and MCI vs. AD. Conclusions: Based on these findings, we conclude that ERD responses to working memory ( N-back ) tasks could be useful not only for early MCI diagnosis or for improved AD diagnosis, but probably also for assessing the likelihood of MCI progression to AD, after further validated by a longitudinal study.