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 …

Neural oscillations and brain stimulation in Alzheimer's disease

Z Jafari, BE Kolb, MH Mohajerani - Progress in neurobiology, 2020 - Elsevier
Aging is associated with alterations in cognitive processing and brain neurophysiology.
Whereas the primary symptom of amnestic mild cognitive impairment (aMCI) is memory …

Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations

ZJ Lau, T Pham, SHA Chen… - European Journal of …, 2022 - Wiley Online Library
There has been an increasing trend towards the use of complexity analysis in quantifying
neural activity measured by electroencephalography (EEG) signals. On top of revealing …

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 …

[HTML][HTML] Complexity analysis of EEG, MEG, and fMRI in mild cognitive impairment and Alzheimer's disease: a review

J Sun, B Wang, Y Niu, Y Tan, C Fan, N Zhang, J Xue… - Entropy, 2020 - mdpi.com
Alzheimer's disease (AD) is a degenerative brain disease with a high and irreversible
incidence. In recent years, because brain signals have complex nonlinear dynamics, there …

[HTML][HTML] Classification methods based on complexity and synchronization of electroencephalography signals in Alzheimer's disease

S Nobukawa, T Yamanishi, S Kasakawa… - Frontiers in …, 2020 - frontiersin.org
Electroencephalography (EEG) has long been studied as a potential diagnostic method for
Alzheimer's disease (AD). The pathological progression of AD leads to cortical …

[HTML][HTML] A new strategy for the early detection of alzheimer disease stages using multifractal geometry analysis based on K-Nearest Neighbor algorithm

YM Elgammal, MA Zahran, MM Abdelsalam - Scientific reports, 2022 - nature.com
Alzheimer's Disease (AD) is considered one of the most diseases that much prevalent
among elderly people all over the world. AD is an incurable neurodegenerative disease …

Complexity measures for quantifying changes in electroencephalogram in Alzheimer's disease

AHH Al-Nuaimi, E Jammeh, L Sun, E Ifeachor - Complexity, 2018 - Wiley Online Library
Alzheimer's disease (AD) is a progressive disorder that affects cognitive brain functions and
starts many years before its clinical manifestations. A biomarker that provides a quantitative …

[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 …

[HTML][HTML] An exploratory EEG analysis on the effects of virtual reality in people with neuropathic pain following spinal cord injury

Y Tran, P Austin, C Lo, A Craig, JW Middleton… - Sensors, 2022 - mdpi.com
Neuropathic pain in people with spinal cord injury is thought to be due to altered central
neuronal activity. A novel therapeutic intervention using virtual reality (VR) head-mounted …