[HTML][HTML] The importance of the validation of M/EEG with current biomarkers in Alzheimer's disease

F Maestú, P Cuesta, O Hasan, A Fernandéz… - Frontiers in human …, 2019 - frontiersin.org
Current biomarkers used in research and in clinical practice in Alzheimer's Disease (AD) are
the analysis of cerebral spinal fluid (CSF) to detect levels of Aβ42 and phosphorylated-tau …

Global EEG coherence as a marker for cognition in older adults at risk for dementia

D Laptinskaya, P Fissler, OC Küster… - …, 2020 - Wiley Online Library
Quantitative electroencephalography (EEG) provides useful information about
neurophysiological health of the aging brain. Current studies investigating EEG coherence …

Slowing of EEG correlates with CSF biomarkers and reduced cognitive speed in elderly with normal cognition over 4 years

E Stomrud, O Hansson, L Minthon, K Blennow… - Neurobiology of …, 2010 - Elsevier
BACKGROUND: Cerebrospinal fluid (CSF) biomarkers and quantitative EEG show particular
patterns of change in Alzheimer's disease (AD) and reflect neuropathologic processes and …

[HTML][HTML] QEEG indices are associated with inflammatory and metabolic risk factors in Parkinson's disease dementia: an observational study

H Liu, B Deng, H Zhou, Z Wu, Y Chen, G Weng… - …, 2022 - thelancet.com
Background Quantitative electroencephalography (QEEG) is a reliable and non-invasive
diagnostic tool to quantify cortical synaptic injury or loss in the clinical assessment of …

Resting-state EEG alpha/theta power ratio discriminates early-onset Alzheimer's disease from healthy controls

Y Özbek, E Fide, GG Yener - Clinical Neurophysiology, 2021 - Elsevier
Objectives The present study aims to compare early-onset Alzheimer's disease (EOAD)
patients with healthy controls (HC), and late-onset Alzheimer's disease (LOAD) patients …

Clinical correlates of quantitative EEG in Parkinson disease: A systematic review

VJ Geraedts, LI Boon, J Marinus, AA Gouw… - Neurology, 2018 - AAN Enterprises
Objective To assess the relevance of quantitative EEG (qEEG) measures as outcomes of
disease severity and progression in Parkinson disease (PD). Methods Main databases were …

Classification of Alzheimer's disease with respect to physiological aging with innovative EEG biomarkers in a machine learning implementation

F Vecchio, F Miraglia, F Alù, M Menna… - Journal of …, 2020 - content.iospress.com
Background: Several studies investigated clinical and instrumental differences to make
diagnosis of dementia in general and in Alzheimer's disease (AD) in particular with the aim …

Electroencephalogram and Alzheimer's disease: clinical and research approaches

A Tsolaki, D Kazis, I Kompatsiaris… - International journal …, 2014 - Wiley Online Library
Alzheimer's disease (AD) is a neurodegenerative disorder that is characterized by cognitive
deficits, problems in activities of daily living, and behavioral disturbances …

Clinical neurophysiological and automated EEG-based diagnosis of the Alzheimer's disease

S Bhat, UR Acharya, N Dadmehr, H Adeli - European neurology, 2015 - karger.com
Alzheimer's disease (AD) is a progressive disorder affecting intellectual, behavioral and
functional abilities. It is associated with age and pathological alterations leading to the …

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 …