Results 31 to 40 of about 9,181,201 (335)
Investigating Conversion from Mild Cognitive Impairment to Alzheimer's Disease using Latent Space Manipulation [PDF]
arXiv, 2021 Alzheimer's disease is the most common cause of dementia that affects millions of lives worldwide. Investigating the underlying causes and risk factors of Alzheimer's disease is essential to prevent its progression. Mild Cognitive Impairment (MCI) is considered an intermediate stage before Alzheimer's disease.
arxiv
Comprehensive Review on Alzheimer’s Disease: Causes and Treatment
Molecules, 2020 Alzheimer’s disease (AD) is a disorder that causes degeneration of the cells in the brain and it is the main cause of dementia, which is characterized by a decline in thinking and independence in personal daily activities.
Zeinab Breijyeh, R. Karaman
semanticscholar +1 more source
Toward a multimodal multitask model for neurodegenerative diseases diagnosis and progression prediction [PDF]
, 2021 Recent studies on modelling the progression of Alzheimer's disease use a single modality for their predictions while ignoring the time dimension. However, the nature of patient data is heterogeneous and time dependent which requires models that value these factors in order to achieve a reliable diagnosis, as well as making it possible to track and ...
arxiv +1 more source
Hippocampus segmentation in magnetic resonance images of Alzheimer's patients using Deep machine learning [PDF]
, 2021 Background: Alzheimers disease is a progressive neurodegenerative disorder and the main cause of dementia in aging. Hippocampus is prone to changes in the early stages of Alzheimers disease. Detection and observation of the hippocampus changes using magnetic resonance imaging (MRI) before the onset of Alzheimers disease leads to the faster preventive ...
arxiv +1 more source
Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease
Nature Communications, 2021 Alzheimer’s disease has been associated with increased structural brain aging. Here the authors describe a model that predicts brain aging from resting state functional connectivity data, and demonstrate this is accelerated in individuals with pre ...
Julie Gonneaud +20 more
doaj +1 more source
Introducing Vision Transformer for Alzheimer's Disease classification task with 3D input [PDF]
arXiv, 2022 Many high-performance classification models utilize complex CNN-based architectures for Alzheimer's Disease classification. We aim to investigate two relevant questions regarding classification of Alzheimer's Disease using MRI: "Do Vision Transformer-based models perform better than CNN-based models?" and "Is it possible to use a shallow 3D CNN-based ...
arxiv
Frontiers in Neurology, 2020 Chronic traumatic encephalopathy (CTE) was recently recognized as a new tauopathy in which multifocal perivascular phosphorylated tau aggregates accumulate in neurons, astrocytes, and neurites at the depths of the cortical sulci.
Chunhui Yang +8 more
doaj +1 more source
2024 Alzheimer's disease facts and figures
Alzheimer's & DementiaThis article describes the public health impact of Alzheimer's disease (AD), including prevalence and incidence, mortality and morbidity, use and costs of care and the ramifications of AD for family caregivers, the dementia workforce and society.
semanticscholar +1 more source
The Amyloid-β Pathway in Alzheimer’s Disease
Molecular Psychiatry, 2021 Breakthroughs in molecular medicine have positioned the amyloid-β (Aβ) pathway at the center of Alzheimer’s disease (AD) pathophysiology. While the detailed molecular mechanisms of the pathway and the spatial-temporal dynamics leading to synaptic failure,
H. Hampel +14 more
semanticscholar +1 more source
Using the A/T/N Framework to Examine Driving in Preclinical Alzheimer’s Disease
Geriatrics, 2018 The A/T/N classification system is the foundation of the 2018 NIA-AA Research Framework and is intended to guide the Alzheimer disease (AD) research agenda for the next 5–10 years.
Catherine M. Roe +9 more
doaj +1 more source