Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
Neurodegenerative diseases have shown an increasing incidence in the older population in
recent years. A significant amount of research has been conducted to characterize these …
recent years. A significant amount of research has been conducted to characterize these …
What electrophysiology tells us about Alzheimer's disease: a window into the synchronization and connectivity of brain neurons
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 …
different brain states, on temporal (fractions of milliseconds) and spatial (micro, meso, and …
Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel
Abstract The Electrophysiology Professional Interest Area (EPIA) and Global Brain
Consortium endorsed recommendations on candidate electroencephalography (EEG) …
Consortium endorsed recommendations on candidate electroencephalography (EEG) …
Clinical correlates of quantitative EEG in Parkinson disease: A systematic review
Objective To assess the relevance of quantitative EEG (qEEG) measures as outcomes of
disease severity and progression in Parkinson disease (PD). Methods Main databases were …
disease severity and progression in Parkinson disease (PD). Methods Main databases were …
Prediction model of dementia risk based on XGBoost using derived variable extraction and hyper parameter optimization
With the development of healthcare technologies, the elderly population has grown and
therefore populating ageing has emerged as a social issue. It is a cause of rise in patients …
therefore populating ageing has emerged as a social issue. It is a cause of rise in patients …
A dementia classification framework using frequency and time-frequency features based on EEG signals
Alzheimer's disease (AD) accounts for 60%–70% of all dementia cases, and clinical
diagnosis at its early stage is extremely difficult. As several new drugs aiming to modify …
diagnosis at its early stage is extremely difficult. As several new drugs aiming to modify …
[HTML][HTML] Revolution of Alzheimer precision neurology. Passageway of systems biology and neurophysiology
The Precision Neurology development process implements systems theory with system
biology and neurophysiology in a parallel, bidirectional research path: a combined …
biology and neurophysiology in a parallel, bidirectional research path: a combined …
Human brain connectivity: Clinical applications for clinical neurophysiology
This manuscript is the second part of a two-part description of the current status of
understanding of the network function of the brain in health and disease. We start with the …
understanding of the network function of the brain in health and disease. We start with the …
[HTML][HTML] Neurophysiological markers of Alzheimer's disease: quantitative EEG approach
U Smailovic, V Jelic - Neurology and therapy, 2019 - Springer
Currently established and employed biomarkers of Alzheimer's disease (AD) predominantly
mirror AD-associated molecular and structural brain changes. While they are necessary for …
mirror AD-associated molecular and structural brain changes. While they are necessary for …
A multiple combined method for rebalancing medical data with class imbalances
YC Wang, CH Cheng - Computers in Biology and Medicine, 2021 - Elsevier
Most classification algorithms assume that classes are in a balanced state. However,
datasets with class imbalances are everywhere. The classes of actual medical datasets are …
datasets with class imbalances are everywhere. The classes of actual medical datasets are …