| Full text | |
| Author(s): |
Fraga, Francisco J.
;
Ferreira, Leonardo A.
;
Falk, Tiago H.
;
Johns, Erin
;
Phillips, Natalie D.
;
IEEE
Total Authors: 6
|
| Document type: | Journal article |
| Source: | 2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP); v. N/A, p. 5-pg., 2017-01-01. |
| Abstract | |
In this study we investigate whether or not event-related (de) synchronisation (ERD/ERS) can be used to differentiate between 27 healthy elderly, 21 subjects diagnosed with amnestic mild cognitive impairment (aMCI) and 16 mild Alzheimer's disease (AD) patients. Using 32-channel EEG recordings, we measured ERD responses to a three-level visual N-back task (N = 0; 1; 2) on the well-known delta, theta, alpha, beta and gamma bands. Our findings revealed that healthy elderly (HE) elicited consistently greater beta and alpha ERD responses than MCI and AD patients at many scalp electrodes, most of them located at fronto-central and temporal-parietal areas. Additionally, significant ERD differences were found on the gamma band in the MCI vs. AD comparison. Based on these findings, we conclude that ERD responses to a working memory (N-back) task could be useful for early MCI diagnosis or for improved AD diagnosis, and also for assessing the likelihood of MCI progression to AD. (AU) | |
| FAPESP's process: | 15/09510-7 - Computational EEG analysis for early Alzheimer's Disease diagnosis |
| Grantee: | Francisco José Fraga da Silva |
| Support Opportunities: | Regular Research Grants |