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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Systematic Review on Resting-State EEG for Alzheimer's Disease Diagnosis and Progression Assessment

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Cassani, Raymundo [1] ; Estarellas, Mar [1, 2] ; San-Martin, Rodrigo [3] ; Fraga, Francisco J. [4] ; Falk, Tiago H. [1]
Total Authors: 5
[1] Univ Quebec, EMT, INRS, Montreal, PQ - Canada
[2] Imperial Coll London, Dept Bioengn, London - England
[3] Univ Fed ABC, Ctr Math Computat & Cognit, Sao Bernardo Do Campo - Brazil
[4] Univ Fed ABC, Engn Modeling & Appl Social Sci Ctr, Sao Bernardo Do Campo - Brazil
Total Affiliations: 4
Document type: Review article
Source: DISEASE MARKERS; 2018.
Web of Science Citations: 3

Alzheimer's disease (AD) is a neurodegenerative disorder that accounts for nearly 70% of the more than 46 million dementia cases estimated worldwide. Although there is no cure for AD, early diagnosis and an accurate characterization of the disease progression can improve the quality of life of AD patients and their caregivers. Currently, AD diagnosis is carried out using standardized mental status examinations, which are commonly assisted by expensive neuroimaging scans and invasive laboratory tests, thus rendering the diagnosis time consuming and costly. Notwithstanding, over the last decade, electroencephalography ( EEG) has emerged as a noninvasive alternative technique for the study of AD, competing with more expensive neuroimaging tools, such as MRI and PET. This paper reports on the results of a systematic review on the utilization of resting-state EEG signals for AD diagnosis and progression assessment. Recent journal articles obtained from four major bibliographic databases were analyzed. A total of 112 journal articles published from January 2010 to February 2018 were meticulously reviewed, and relevant aspects of these papers were compared across articles to provide a general overview of the research on this noninvasive AD diagnosis technique. Finally, recommendations for future studies with resting-state EEG were presented to improve and facilitate the knowledge transfer among research groups. (AU)

FAPESP's process: 17/15243-7 - Electroencephalography-based Brain Connectivity Analysis for Alzheimer's Disease and Diffuse Axonal Lesion Diagnosis
Grantee:Francisco José Fraga da Silva
Support type: Regular Research Grants