Results 41 to 50 of about 9,294,018 (384)
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
Human microglial cells synthesize albumin in brain [PDF]
, 2008 Albumin has been implicated in Alzheimer's disease since it can bind to and transport amyloid beta, the causative agent; albumin is also a potent inhibitor of amyloid beta polymerization.
Bonghee Lee +9 more
core +5 more sources
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
Generation and quality control of lipidomics data for the alzheimers disease neuroimaging initiative cohort. [PDF]
, 2018 Alzheimers disease (AD) is a major public health priority with a large socioeconomic burden and complex etiology. The Alzheimer Disease Metabolomics Consortium (ADMC) and the Alzheimer Disease Neuroimaging Initiative (ADNI) aim to gain new biological ...
AA Willette +42 more
core +2 more sources
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
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
Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup
Alzheimer's & DementiaThe National Institute on Aging and the Alzheimer's Association convened three separate work groups in 2011 and single work groups in 2012 and 2018 to create recommendations for the diagnosis and characterization of Alzheimer's disease (AD).
Clifford R Jack +19 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