EEG characterization of the Alzheimer's disease continuum by means of multiscale entropies
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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
Alzheimer's disease (AD) is a neurodegenerative brain disease affecting cognitive and
physical functioning. The currently available pharmacological treatments for AD mainly …
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 …
disease (AD) as well as Parkinson Disease (PD) by analyzing both EEG and Speech Signal …