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Alzheimer's disease (AD) is the most common type of dementia accompanied with brain atrophy. Structural measurements of brain atrophy in specific brain structures such as hippocampus using magnetic resonance imaging (MRI) have been reported…

Medical Physics · Physics 2016-05-10 Kenya Murase , Naohiko Gondo , Tsutomu Soma

Alzheimer's disease (AD) is a prevalent, progressive, and ultimately fatal neurodegenerative disorder that is defined pathologically by the accumulation of amyloid plaques and tau neurofibrillary tangles in the brain. There remains an unmet…

Tissues and Organs · Quantitative Biology 2023-11-21 Leonardino A. Digma MD , Joseph R. Winer PhD , Michael D. Greicius MD

Background: Although Alzheimer's disease (AD) is a central nervous system disease and type 2 diabetes mellitus (T2DM) is a metabolic disorder, an increasing number of genetic epidemiological studies show clear link between AD and T2DM. The…

Molecular Networks · Quantitative Biology 2019-01-18 Zixin Hu , Rong Jiao , Jiucun Wang , Panpan Wang , Yun Zhu , Jinying Zhao , Phil De Jager , David A Bennett , Li Jin , Momiao Xiong

Alzheimer's disease (AD) is a chronic neurodegenerative condition responsible for most cases of dementia and considered as one of the greatest challenges for neuroscience in this century. Early Ad signs are usually mistaken for normal…

Neurons and Cognition · Quantitative Biology 2021-02-08 Juan A. Arias , Carmen Cadarso-Suárez , Pablo Aguiar-Fernández

Alzheimer's disease (AD) affects 50 million people worldwide and is projected to overwhelm 152 million by 2050. AD is characterized by cognitive decline due partly to disruptions in metabolic brain connectivity. Thus, early and accurate…

Alzheimer's Disease (AD) is a neurodegenerative condition characterized by diverse progression rates among individuals, with changes in cortical thickness (CTh) closely linked to its progression. Accurately forecasting CTh trajectories can…

Image and Video Processing · Electrical Eng. & Systems 2024-03-12 Qing Xiao , Siyeop Yoon , Hui Ren , Matthew Tivnan , Lichao Sun , Quanzheng Li , Tianming Liu , Yu Zhang , Xiang Li

We propose a mathematical model for the onset and progression of Alzheimer's disease based on transport and diffusion equations. We treat brain neurons as a continuous medium and structure them by their degree of malfunctioning. Three…

Biological Physics · Physics 2020-12-29 Michiel Bertsch , Bruno Franchi , Valentina Meschini , Maria Carla Tesi , Andrea Tosin

Recent evidence has shown that structural magnetic resonance imaging (MRI) is an effective tool for Alzheimer's disease (AD) prediction and diagnosis. While traditional MRI-based diagnosis uses images acquired at a single time point, a…

Applications · Statistics 2021-11-02 Xiaowu Dai

Alzheimer's disease (AD) is a progressive neurological disorder, meaning that the symptoms develop gradually throughout the years. It is also the main cause of dementia, which affects memory, thinking skills, and mental abilities. Nowadays,…

Computation and Language · Computer Science 2022-11-09 Loukas Ilias , Dimitris Askounis , John Psarras

Motivated by the biologically important and complex phenomena of A\beta\ peptide aggregation in Alzheimer's disease, we introduce a model and simulation methodology for studying protein aggregation that includes extra-cellular aggregation,…

Quantitative Methods · Quantitative Biology 2018-03-02 Youval Dar , Benjamin Bairrington , Daniel Cox , Rajiv Singh

In this Note we study a mathematical model for the progression of Alzheimer's Disease in the human brain. The novelty of our approach consists in the representation of the brain as two superposed graphs where toxic proteins diffuse, the…

Analysis of PDEs · Mathematics 2022-12-29 Michiel Bertsch , Bruno Franchi , Maria Carla Tesi , Veronica Tora

Atherosclerosis is a disease characterized by the development of atherosclerotic plaques (APs) in arterial endothelium. The APs in part of an arterial wall are inhomogeneous on size and on distribution. In order to understand this…

Tissues and Organs · Quantitative Biology 2017-09-07 Jicun Wang-Michelitsch , Thomas M. Michelitsch

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive memory and cognitive decline, affecting millions worldwide. Diagnosing AD is challenging due to its heterogeneous nature and variable progression. This…

Neurons and Cognition · Quantitative Biology 2024-10-22 Jiwon Youn , Dong Woo Kang , Hyun Kook Lim , Mansu Kim

Recent Alzheimer's disease (AD) patient studies have focused on retinal analysis, as the retina is the only part of the central nervous system which can be imaged non-invasively by optical methods. However as this is a relatively new…

Criticality, observed during second-order phase transitions, is an emergent phenomenon. The brain operates near criticality, where complex systems exhibit high correlations. The critical brain hypothesis suggests that the brain becomes an…

Statistical Mechanics · Physics 2023-06-21 Anirudh Palutla , Shivansh Seth , S. S. Ashwin , Marimuthu Krishnan

Alzheimer's disease is characterized by dangerous amyloid plaques formed by deposits of the protein Beta-Amyloid aggregates in the brain. The specific amino acid sequence that is responsible for the aggregates of Beta-Amyloid is…

Quantitative Methods · Quantitative Biology 2025-06-18 Ananya Joshi , George Khoury , Christodoulas Floudas

Alzheimer's disease gradually affects several components including the cerebral dimension with brain atrophies, the cognitive dimension with a decline in various functions and the functional dimension with impairment in the daily living…

Alzheimer's disease (AD) is known as one of the major causes of dementia and is characterized by slow progression over several years, with no treatments or available medicines. In this regard, there have been efforts to identify the risk of…

Computer Vision and Pattern Recognition · Computer Science 2020-08-28 Wonsik Jung , Eunji Jun , Heung-Il Suk

Alzheimers disease (AD) is a severe neurological brain disorder. It is not curable, but earlier detection can help improve symptoms in a great deal. The machine learning based approaches are popular and well motivated models for medical…

Image and Video Processing · Electrical Eng. & Systems 2024-05-17 Lilia Lazli
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