State of the science on mild cognitive impairment (MCI)

ND Anderson - CNS spectrums, 2019 - cambridge.org
Mild cognitive impairment (MCI) represents a transitional stage between healthy aging and
dementia, and affects 10–15% of the population over the age of 65. The failure of drug trials …

What electrophysiology tells us about Alzheimer's disease: a window into the synchronization and connectivity of brain neurons

C Babiloni, K Blinowska, L Bonanni, A Cichocki… - Neurobiology of …, 2020 - Elsevier
Electrophysiology provides a real-time readout of neural functions and network capability in
different brain states, on temporal (fractions of milliseconds) and spatial (micro, meso, and …

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 …

A brief introduction to magnetoencephalography (MEG) and its clinical applications

AL Fred, SN Kumar, A Kumar Haridhas, S Ghosh… - Brain sciences, 2022 - mdpi.com
Magnetoencephalography (MEG) plays a pivotal role in the diagnosis of brain disorders. In
this review, we have investigated potential MEG applications for analysing brain disorders …

Brain entropy mapping using fMRI

Z Wang, Y Li, AR Childress, JA Detre - PloS one, 2014 - journals.plos.org
Entropy is an important trait for life as well as the human brain. Characterizing brain entropy
(BEN) may provide an informative tool to assess brain states and brain functions. Yet little is …

A comprehensive review of magnetoencephalography (MEG) studies for brain functionality in healthy aging and Alzheimer's disease (AD)

PK Mandal, A Banerjee, M Tripathi… - Frontiers in …, 2018 - frontiersin.org
Neural oscillations were established with their association with neurophysiological activities
and the altered rhythmic patterns are believed to be linked directly to the progression of …

A novel methodology for automated differential diagnosis of mild cognitive impairment and the Alzheimer's disease using EEG signals

JP Amezquita-Sanchez, N Mammone… - Journal of neuroscience …, 2019 - Elsevier
Background EEG signals obtained from Mild Cognitive Impairment (MCI) and the
Alzheimer's disease (AD) patients are visually indistinguishable. New method A new …

M/EEG-based bio-markers to predict the MCI and Alzheimer's disease: a review from the ML perspective

S Yang, JMS Bornot, K Wong-Lin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper reviews the state-of-the-art neuromarkers development for the prognosis of
Alzheimer's disease (AD) and mild cognitive impairment (MCI). The first part of this paper is …

Alzheimer's disease: the state of the art in resting-state magnetoencephalography

MMA Engels, WM Van der Flier, CJ Stam… - Clinical …, 2017 - Elsevier
Alzheimer's disease (AD) is accompanied by functional brain changes that can be detected
in imaging studies, including electromagnetic activity recorded with …

A new dispersion entropy and fuzzy logic system methodology for automated classification of dementia stages using electroencephalograms

JP Amezquita-Sanchez, N Mammone… - Clinical Neurology and …, 2021 - Elsevier
A new EEG-based methodology is presented for differential diagnosis of the Alzheimer's
disease (AD), Mild Cognitive Impairment (MCI), and healthy subjects employing the discrete …