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 …

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 …

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 …

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) …

EEG dynamics in patients with Alzheimer's disease

J Jeong - Clinical neurophysiology, 2004 - Elsevier
Alzheimer's disease (AD) is the most common neurodegenerative disorder characterized by
cognitive and intellectual deficits and behavior disturbance. The electroencephalogram …

Nonlinear dynamical analysis of EEG and MEG: review of an emerging field

CJ Stam - Clinical neurophysiology, 2005 - Elsevier
Many complex and interesting phenomena in nature are due to nonlinear phenomena. The
theory of nonlinear dynamical systems, also called 'chaos theory', has now progressed to a …

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 …

Changing complexity in human behavior and physiology through aging and disease

DE Vaillancourt, KM Newell - Neurobiology of aging, 2002 - Elsevier
Lipsitz and Goldberger [47] proposed that there is a loss in the complexity of physiological
and behavioral systems with aging and disease. Here, we show that this unidirectional view …

Clinical neurophysiology of aging brain: from normal aging to neurodegeneration

PM Rossini, S Rossi, C Babiloni, J Polich - Progress in neurobiology, 2007 - Elsevier
Physiological brain aging is characterized by a loss of synaptic contacts and neuronal
apoptosis that provokes age-dependant decline of sensory processing, motor performance …