Myelin in Alzheimer's disease: culprit or bystander?

M Maitre, H Jeltsch-David, NG Okechukwu… - Acta Neuropathologica …, 2023 - Springer
Alzheimer's disease (AD) is a neurodegenerative disorder with neuronal and synaptic
losses due to the accumulation of toxic amyloid β (Αβ) peptide oligomers, plaques, and …

Detection of Alzheimer's disease onset using MRI and PET neuroimaging: longitudinal data analysis and machine learning

I Aberathne, D Kulasiri… - Neural Regeneration …, 2023 - journals.lww.com
The scientists are dedicated to studying the detection of Alzheimer's disease onset to find a
cure, or at the very least, medication that can slow the progression of the disease. This …

Toward diffusion tensor imaging as a biomarker in neurodegenerative diseases: technical considerations to optimize recordings and data processing

HP Müller, J Kassubek - Frontiers in Human Neuroscience, 2024 - frontiersin.org
Neuroimaging biomarkers have shown high potential to map the disease processes in the
application to neurodegenerative diseases (NDD), eg, diffusion tensor imaging (DTI). For …

Disrupted metabolic and spontaneous neuronal activity of hippocampus in sepsis associated encephalopathy rats: A study combining magnetic resonance …

H Li, H Liao, C Zhang, Y Xu, X Xu, Y Chen… - Frontiers in …, 2022 - frontiersin.org
Background The diagnosis of sepsis associated encephalopathy (SAE) remains challenging
in clinical settings because of a lack of specific biomarkers. Functional magnetic resonance …

Research on Voxel-Based Features Detection and Analysis of Alzheimer's Disease Using Random Survey Support Vector Machine

X Meng, Y Wu, W Liu, Y Wang, Z Xu… - Frontiers in …, 2022 - frontiersin.org
Alzheimer's disease (AD) is a degenerative disease of the central nervous system
characterized by memory and cognitive dysfunction, as well as abnormal changes in …

Seed-based morphometry of nodes in the default mode network among patients with Alzheimer's disease in Klang Valley, Malaysia

NH Mohad Azmi, S Suppiah, NS Nabila Ibrahim… - medRxiv, 2023 - medrxiv.org
The default mode network (DMN) is a prominent neural network in the human brain that
exhibits a substantial association with Alzheimer's disease (AD). Functional connectivity …

Apolipoprotein E-Genotyping and MRI Study for Alzheimer's Disease Classification: PCR-RFLP and Restricted Enzymes AfIII; for RS429358 and HaeII; for RS7412

NURH MOHAD AZMI, S Suppiah, NURSN IBRAHIM… - medRxiv, 2024 - medrxiv.org
The most common type of dementia in neurodegenerative diseases is Alzheimer's disease
(AD), a progressive neurological illness that causes memory loss. Neurophysiological tests …

利用MRI 和PET 神经影像检测阿尔茨海默病的发病情况: 纵向数据分析和机器学习

I Aberathne, D Kulasiri, S Samarasinghe - 中国神经再生研究(英文版), 2023 - sjzsyj.com.cn
The scientists are dedicated to studying the detection of Alzheimer's disease onset to find a
cure, or at the very least, medication that can slow the progression of the disease. This …

Default mode network perturbations in Alzheimer's disease: an fMRI study in Klang Valley, Malaysia

NHM Azmi, S Suppiah, NSN Ibrahim… - Neuroscience …, 2024 - dr.ntu.edu.sg
The default mode network (DMN) is a large neural network that has a significant correlation
with Alzheimer's disease (AD). Grey matter volume (GMV) and functional connectivity (FC) …

Comparison of deep learning convolutional neural networks method with conventional volume-based morphometry measurement of hippocampal volume in …

NSN Ibrahim, S Suppiah, B Ibrahim… - Neuroscience …, 2023 - neuroscirn.org
Dementia is a spectrum of diseases characterised by a progressive and irreversible decline
in cognitive function. Appropriate tools and references are essential for evaluating …