Systematic review on resting‐state EEG for Alzheimer's disease diagnosis and progression assessment

R Cassani, M Estarellas, R San-Martin… - Disease …, 2018 - Wiley Online Library
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 …

Machine learning algorithms and statistical approaches for Alzheimer's disease analysis based on resting-state EEG recordings: A systematic review

KD Tzimourta, V Christou, AT Tzallas… - … journal of neural …, 2021 - World Scientific
Alzheimer's Disease (AD) is a neurodegenerative disorder and the most common type of
dementia with a great prevalence in western countries. The diagnosis of AD and its …

[HTML][HTML] Theta-gamma coupling and working memory in Alzheimer's dementia and mild cognitive impairment

MS Goodman, S Kumar, R Zomorrodi… - Frontiers in aging …, 2018 - frontiersin.org
Working memory deficits are common among individuals with Alzheimer's dementia (AD) or
mild cognitive impairment (MCI). Yet, little is known about the mechanisms underlying these …

Complexity of EEG dynamics for early diagnosis of Alzheimer's disease using permutation entropy neuromarker

M Şeker, Y Özbek, G Yener, MS Özerdem - Computer Methods and …, 2021 - Elsevier
Background and objective Electroencephalogram (EEG) is one of the most demanded
screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain …

Power spectral density and coherence analysis of Alzheimer's EEG

R Wang, J Wang, H Yu, X Wei, C Yang… - Cognitive neurodynamics, 2015 - Springer
In this paper, we investigate the abnormalities of electroencephalograph (EEG) signals in
the Alzheimer's disease (AD) by analyzing 16-scalp electrodes EEG signals and make a …

[HTML][HTML] A comparison of resting state EEG and structural MRI for classifying Alzheimer's disease and mild cognitive impairment

FR Farina, DD Emek-Savaş, L Rueda-Delgado… - Neuroimage, 2020 - Elsevier
Alzheimer's disease (AD) is the leading cause of dementia, accounting for 70% of cases
worldwide. By 2050, dementia prevalence will have tripled, with most new cases occurring …

Neurological abnormality detection from electroencephalography data: a review

AM Alvi, S Siuly, H Wang - Artificial Intelligence Review, 2022 - Springer
The efficient detection of neurological abnormalities (disorders) is very important in clinical
diagnosis for modern medical applications. As stated by the World Health Organization's …

EEG spectral power abnormalities and their relationship with cognitive dysfunction in patients with Alzheimer's disease and type 2 diabetes

CSY Benwell, P Davila-Pérez, PJ Fried, RN Jones… - Neurobiology of …, 2020 - Elsevier
Rhythmic neural activity has been proposed to play a fundamental role in cognition. Both
healthy and pathological aging are characterized by frequency-specific changes in …

[HTML][HTML] Loss of brain inter-frequency hubs in Alzheimer's disease

J Guillon, Y Attal, O Colliot, V La Corte, B Dubois… - Scientific reports, 2017 - nature.com
Alzheimer's disease (AD) causes alterations of brain network structure and function. The
latter consists of connectivity changes between oscillatory processes at different frequency …

Information and communication technologies for the activities of daily living in older patients with dementia: a systematic review

G D'Onofrio, D Sancarlo, F Ricciardi… - Journal of …, 2017 - content.iospress.com
Background: Significant innovations have been introduced in recent years in the application
of information and communication technologies (ICTs) to support healthcare for patients with …