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 …

[HTML][HTML] International Federation of Clinical Neurophysiology (IFCN)–EEG research workgroup: Recommendations on frequency and topographic analysis of resting …

C Babiloni, RJ Barry, E Başar, KJ Blinowska… - Clinical …, 2020 - Elsevier
Abstract In 1999, the International Federation of Clinical Neurophysiology (IFCN) published
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …

Early diagnosis of Alzheimer's disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts

PM Rossini, R Di Iorio, F Vecchio, M Anfossi… - Clinical …, 2020 - Elsevier
Alzheimer's disease (AD) is the most common neurodegenerative disease among the
elderly with a progressive decline in cognitive function significantly affecting quality of life …

Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review

C Bick, M Goodfellow, CR Laing… - The Journal of …, 2020 - Springer
Many biological and neural systems can be seen as networks of interacting periodic
processes. Importantly, their functionality, ie, whether these networks can perform their …

Network modelling methods for FMRI

SM Smith, KL Miller, G Salimi-Khorshidi, M Webster… - Neuroimage, 2011 - Elsevier
There is great interest in estimating brain “networks” from FMRI data. This is often attempted
by identifying a set of functional “nodes”(eg, spatial ROIs or ICA maps) and then conducting …

Assessing interactions in the brain with exact low-resolution electromagnetic tomography

RD Pascual-Marqui, D Lehmann… - … of the Royal …, 2011 - royalsocietypublishing.org
Scalp electric potentials (electroencephalogram; EEG) are contingent to the impressed
current density unleashed by cortical pyramidal neurons undergoing post-synaptic …

Brain neural synchronization and functional coupling in Alzheimer's disease as revealed by resting state EEG rhythms

C Babiloni, R Lizio, N Marzano, P Capotosto… - International Journal of …, 2016 - Elsevier
Alzheimer's disease (AD) is the most common type of neurodegenerative disorder, typically
causing dementia along aging. AD is mainly characterized by a pathological extracellular …

Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG

V Sakkalis - Computers in biology and medicine, 2011 - Elsevier
Brain connectivity can be modeled and quantified with a large number of techniques. The
main objective of this paper is to present the most modern and widely established …

Brain networks and their relevance for stroke rehabilitation

AG Guggisberg, PJ Koch, FC Hummel… - Clinical …, 2019 - Elsevier
Stroke has long been regarded as focal disease with circumscribed damage leading to
neurological deficits. However, advances in methods for assessing the human brain and in …

Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: recommendations of an expert panel

C Babiloni, X Arakaki, H Azami, K Bennys… - Alzheimer's & …, 2021 - Wiley Online Library
Abstract The Electrophysiology Professional Interest Area (EPIA) and Global Brain
Consortium endorsed recommendations on candidate electroencephalography (EEG) …