STEADYNet: spatiotemporal EEG analysis for dementia detection using convolutional neural network

PH Kachare, SB Sangle, DV Puri, MM Khubrani… - Cognitive …, 2024 - Springer
Dementia is a neuro-degenerative disorder with a high death rate, mainly due to high
human error, time, and cost of the current clinical diagnostic techniques. The existing …

From Gut Microbiota to Brain Waves: The Potential of the Microbiome and EEG as Biomarkers for Cognitive Impairment

M Krothapalli, L Buddendorff, H Yadav… - International Journal of …, 2024 - mdpi.com
Alzheimer's disease (AD) is a prevalent neurodegenerative disorder and a leading cause of
dementia. Aging is a significant risk factor for AD, emphasizing the importance of early …

[HTML][HTML] Different oscillatory mechanisms of dementia-related diseases with cognitive impairment in closed-eye state

T Zikereya, Y Lin, Z Zhang, I Taguas, K Shi, C Han - Neuroimage, 2024 - Elsevier
The escalating global trend of aging has intensified the focus on health concerns prevalent
among the elderly. Notably, Dementia related diseases, including Alzheimer's disease (AD) …

N-BodyPat: Investigation on the dementia and Alzheimer's disorder detection using EEG signals

PD Barua, T Tuncer, M Baygin, S Dogan… - Knowledge-Based …, 2024 - Elsevier
The N-body problem is a remarkable research topic in physics. We propose a new feature
extraction model inspired by the N-body trajectory and test its feature extraction capability. In …

BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories

A Zanola, F Del Pup, C Porcaro… - Journal of Neural …, 2024 - iopscience.iop.org
Objective. This study aims to address the challenges associated with data-driven
electroencephalography (EEG) data analysis by introducing a standardised library called …

Entropy and Coherence Features in EEG-Based Classification for Alzheimer's Disease Detection

S Criscuolo, A Cataldo, E De Benedetto… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a progressive neurode-generative condition that impacts
cognitive functions and the overall quality of life of millions of individuals worldwide. Early …

[HTML][HTML] Classification of Alzheimer's Disease and Frontotemporal Dementia Using Electroencephalography to Quantify Communication between Electrode Pairs

Y Ma, JKS Bland, T Fujinami - Diagnostics, 2024 - pmc.ncbi.nlm.nih.gov
Accurate diagnosis of dementia subtypes is crucial for optimizing treatment planning and
enhancing caregiving strategies. To date, the accuracy of classifying Alzheimer's disease …

Alternating chimera states and synchronization in multilayer neuronal networks with ephaptic intralayer coupling

H Li, Y Xie - Cognitive Neurodynamics, 2024 - Springer
Over the past decade, most of researches on the communication between the neurons are
based on synapses. However, the changes in action potentials in neurons may produce …

Beyond Frequency Bands: Complementary-Ensemble-Empirical-Mode-Decomposition-Enhanced Microstate Sequence Non-Randomness Analysis for Aiding …

W Wan, Z Gu, CK Peng, X Cui - Brain Sciences, 2024 - mdpi.com
Exploring the spatiotemporal dynamic patterns of multi-channel electroencephalography
(EEG) is crucial for interpreting dementia and related cognitive decline. Spatiotemporal …

Deep Learning for the Detection of Dementia by Using Brain Mapping Images

S Kizilisik, MA Ozdemir, O Guren - 2024 Medical Technologies …, 2024 - ieeexplore.ieee.org
Dementia, a progressive neurodegenerative condition manifesting in various forms, impacts
a considerable portion of the population, particularly the elderly. Electroencephalography …