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

Author(s): Fraga FJ, Mamani GQ, Johns E, Tavares G, Falk TH, Phillips NA

Comput Methods Programs Biomed. 2018 Oct;164:1-13 Authors: Fraga FJ, Mamani GQ, Johns E, Tavares G, Falk TH, Phillips NA

Article GUID: 30195417
Title:Early diagnosis of mild cognitive impairment and Alzheimer's with event-related potentials and event-related desynchronization in N-back working memory tasks.
Authors:Fraga FJ,  Mamani GQ,  Johns E,  Tavares G,  Falk TH,  Phillips NA
Link:https://www.ncbi.nlm.nih.gov/pubmed/30195417?dopt=Abstract
Category:Comput Methods Programs Biomed
PMID:30195417
Dept Affiliation: PSYCHOLOGY
1 Engineering, Modelling and Applied Social Sciences Center, Universidade Federal do ABC, Santo André, São Paulo, Brazil. Electronic address: francisco.fraga@ufabc.edu.br.
2 Engineering, Modelling and Applied Social Sciences Center, Universidade Federal do ABC, Santo André, São Paulo, Brazil; Departamento de Estadística, Universidad Nacional del Altiplano, Puno, Peru.
3 Department of Psychology, Concordia University, Montreal, Quebec, Canada.
4 Engineering, Modelling and Applied Social Sciences Center, Universidade Federal do ABC, Santo André, São Paulo, Brazil.
5 Institut National de la Recherche Scientifique (INRS-EMT), University of Quebec, Montreal, Quebec, Canada.

Description:

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

Comput Methods Programs Biomed. 2018 Oct;164:1-13

Authors: Fraga FJ, Mamani GQ, Johns E, Tavares G, Falk TH, Phillips NA

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.

PMID: 30195417 [PubMed - indexed for MEDLINE]