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 …
elderly with a progressive decline in cognitive function significantly affecting quality of life …
Neural oscillations and brain stimulation in Alzheimer's disease
Aging is associated with alterations in cognitive processing and brain neurophysiology.
Whereas the primary symptom of amnestic mild cognitive impairment (aMCI) is memory …
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
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 …
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 …
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 …
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 …
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 …
among elderly people all over the world. AD is an incurable neurodegenerative disease …
Complexity measures for quantifying changes in electroencephalogram in Alzheimer's disease
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 …
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
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 …
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
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 …
neuronal activity. A novel therapeutic intervention using virtual reality (VR) head-mounted …