Systematic review on resting‐state EEG for Alzheimer's disease diagnosis and progression assessment
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 …
the more than 46 million dementia cases estimated worldwide. Although there is no cure for …
Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: recommendations of an expert panel
Abstract The Electrophysiology Professional Interest Area (EPIA) and Global Brain
Consortium endorsed recommendations on candidate electroencephalography (EEG) …
Consortium endorsed recommendations on candidate electroencephalography (EEG) …
Resting state EEG biomarkers of cognitive decline associated with Alzheimer's disease and mild cognitive impairment
In this paper, we explore the utility of resting-state EEG measures as potential biomarkers for
the detection and assessment of cognitive decline in mild cognitive impairment (MCI) and …
the detection and assessment of cognitive decline in mild cognitive impairment (MCI) and …
Alzheimer's disease and frontotemporal dementia: A robust classification method of EEG signals and a comparison of validation methods
Dementia is the clinical syndrome characterized by progressive loss of cognitive and
emotional abilities to a degree severe enough to interfere with daily functioning. Alzheimer's …
emotional abilities to a degree severe enough to interfere with daily functioning. Alzheimer's …
Healthy and pathological brain aging: from the perspective of oscillations, functional connectivity, and signal complexity
R Ishii, L Canuet, Y Aoki, M Hata, M Iwase… - …, 2018 - karger.com
Healthy aging is associated with impairment in cognitive information processing. Several
neuroimaging methods such as functional magnetic resonance imaging, positron emission …
neuroimaging methods such as functional magnetic resonance imaging, positron emission …
EEG microstate features for schizophrenia classification
Electroencephalography (EEG) microstate analysis is a method wherein spontaneous EEG
activity is segmented at sub-second levels to analyze quasi-stable states. In particular, four …
activity is segmented at sub-second levels to analyze quasi-stable states. In particular, four …
EEG theta power is an early marker of cognitive decline in dementia due to Alzheimer's disease
CS Musaeus, K Engedal, P Høgh… - Journal of …, 2018 - content.iospress.com
Background: Quantitative EEG (qEEG) power could potentially be used as a diagnostic tool
for Alzheimer's disease (AD) and may further our understanding of the pathophysiology …
for Alzheimer's disease (AD) and may further our understanding of the pathophysiology …
Predicting age from brain EEG signals—a machine learning approach
Objective: The brain age gap estimate (BrainAGE) is the difference between the estimated
age and the individual chronological age. BrainAGE was studied primarily using MRI …
age and the individual chronological age. BrainAGE was studied primarily using MRI …
Early dementia diagnosis, MCI‐to‐dementia risk prediction, and the role of machine learning methods for feature extraction from integrated biomarkers, in particular for …
PM Rossini, F Miraglia, F Vecchio - Alzheimer's & Dementia, 2022 - Wiley Online Library
Introduction Dementia in its various forms represents one of the most frightening
emergencies for the aging population. Cognitive decline—including Alzheimer's disease …
emergencies for the aging population. Cognitive decline—including Alzheimer's disease …
Enhanced gamma activity and cross-frequency interaction of resting-state electroencephalographic oscillations in patients with Alzheimer's disease
Cognitive impairment, functional decline and behavioral symptoms that characterize
Alzheimer's disease (AD) are associated with perturbations of the neuronal network. The …
Alzheimer's disease (AD) are associated with perturbations of the neuronal network. The …