EEG characterization of the Alzheimer's disease continuum by means of multiscale entropies

A Maturana-Candelas, C Gómez, J Poza, N Pinto… - Entropy, 2019 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative disorder with high prevalence, known for
its highly disabling symptoms. The aim of this study was to characterize the alterations in the …

Analysis of complexity and dynamic functional connectivity based on resting-state EEG in early Parkinson's disease patients with mild cognitive impairment

G Yi, L Wang, C Chu, C Liu, X Zhu, X Shen, Z Li… - Cognitive …, 2022 - Springer
To explore the abnormal brain activity of early Parkinson's disease with mild cognitive
impairment (ePD-MCI) patients, the study analyzed the dynamic fluctuation of …

Recent advances in pre-clinical diagnosis of Alzheimer's disease

J Zhou, M Benoit, MG Sharoar - Metabolic Brain Disease, 2022 - Springer
Alzheimer's disease (AD) is the most common dementia with currently no known cures or
disease modifying treatments (DMTs), despite much time and effort from the field. Diagnosis …

Constructing biomarker for early diagnosis of aMCI based on combination of multiscale fuzzy entropy and functional brain connectivity

R Su, X Li, Z Li, Y Han, W Cui, P Xie, Y Liu - Biomedical Signal Processing …, 2021 - Elsevier
Objective To achieve the early diagnosis of amnestic mild cognitive impairment (aMCI), this
paper proposes a multi-dimensional index, which combines the advantages of the …

On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels

BO Olcay, M Özgören, B Karaçalı - Neural Networks, 2021 - Elsevier
Accurate characterization of brain activity during a cognitive task is challenging due to the
dynamically changing and the complex nature of the brain. The majority of the proposed …

Measuring alterations of spontaneous EEG neural coupling in Alzheimer's disease and mild cognitive impairment by means of cross-entropy metrics

SJ Ruiz-Gómez, C Gómez, J Poza… - Frontiers in …, 2018 - frontiersin.org
Alzheimer's Disease (AD) represents the most prevalent form of dementia and is considered
a major health problem due to its high prevalence and its economic costs. An accurate …

Multiclass recognition of Alzheimer's and Parkinson's disease using various machine learning techniques: A study

C Balaji, DS Suresh - International Journal of Modeling, Simulation …, 2022 - World Scientific
The aging population is primarily affected by Alzheimer's disease (AD) that is an incurable
neurodegenerative disorder. There is a need for an automated efficient technique to …

Modulatory effects of low-intensity retinal ultrasound stimulation on rapid and non-rapid eye movement sleep

T Wang, M Wang, J Wang, Z Li, Y Yuan - Cerebral Cortex, 2024 - academic.oup.com
Prior investigations have established that the manipulation of neural activity has the
potential to influence both rapid eye movement and non-rapid eye movement sleep. Low …

Effects of pharmacological treatments in alzheimer's disease: Permutation entropy-based EEG complexity study

E Fide, H Polat, G Yener, MS Özerdem - Brain Topography, 2023 - Springer
Alzheimer's disease (AD) is a neurodegenerative brain disease affecting cognitive and
physical functioning. The currently available pharmacological treatments for AD mainly …

[PDF][PDF] Implications of EEG and speech signal in the analysis of neurological disorders-a survey

C Balaji, D Suresh - Op Acc J Bio Eng Bio Sci, 2019 - academia.edu
This paper presents the need of diagnosing Neurological disorders related to Alzheimer's
disease (AD) as well as Parkinson Disease (PD) by analyzing both EEG and Speech Signal …