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Pathologically altered iron levels, detected using iron-sensitive MRI techniques such as quantitative susceptibility mapping (QSM), are observed in neurological disorders such as multiple sclerosis (MS) and may play a crucial role in…

Brain iron deposition, in particular deep gray matter nuclei, increases with advancing age. Hereditary Hemochromatosis (HH) is the most common inherited disorder of systemic iron excess in Europeans and recent studies claimed high brain…

Elevated kurtosis values have been observed in subcortical grey matter structures of patients with neurodegenerative diseases. Here we tested whether these elevated values are related to iron content, which generate magnetic fields that add…

Medical Physics · Physics 2026-01-05 Jason Langley , Kitzia Solis , Vala Masjedizadeh , Murphy Shao , Ilana Bennett , Xiaoping P. Hu

Iron accumulates in the neural tissue during peripheral nerve degeneration. Some studies have already been suggested that iron facilitates Wallerian degeneration (WD) events such as Schwann cell de-differentiation. On the other hand,…

Neurons and Cognition · Quantitative Biology 2024-01-23 Samira Bolandghamat , Morteza Behnam-Rassouli

Motor dysfunction is a common sign of neurodegenerative diseases (NDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD), but may be difficult to detect, especially in the early stages. In this work, we examine the behavior of a…

Neurons and Cognition · Quantitative Biology 2025-10-23 Thomas Thebaud , Anna Favaro , Casey Chen , Gabrielle Chavez , Laureano Moro-Velazquez , Ankur Butala , Najim Dehak

The production of peroxide and superoxide is an inevitable consequence of aerobic metabolism, and while these particular "reactive oxygen species" (ROSs) can exhibit a number of biological effects, they are not of themselves excessively…

Other Quantitative Biology · Quantitative Biology 2008-08-14 Douglas B. Kell

Alzheimer's disease is a progressive neurological disorder characterized by cognitive impairment and memory loss. With the increasing aging population, the incidence of AD is continuously rising, making early diagnosis and intervention an…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Guian Fang , Mengsha Liu , Yi Zhong , Zhuolin Zhang , Jiehui Huang , Zhenchao Tang , Calvin Yu-Chian Chen

Alzheimer's Disease is a neurodegenerative condition characterized by dementia and impairment in neurological function. The study primarily focuses on the individuals above age 40, affecting their memory, behavior, and cognitive processes…

Computer Vision and Pattern Recognition · Computer Science 2025-01-20 Mohammad Rafsan , Tamer Oraby , Upal Roy , Sanjeev Kumar , Hansapani Rodrigo

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 is a human brain disease that affects a significant fraction of the population by causing problems with short-term memory, thinking, spatial orientation and behavior, memory loss and other intellectual abilities. Up to…

Neurons and Cognition · Quantitative Biology 2012-10-02 Athanasios Alexiou , Panayiotis Vlamos

Deep learning (DL) for predicting Alzheimer's disease (AD) has provided timely intervention in disease progression yet still demands attentive interpretability to explain how their DL models make definitive decisions. Recently,…

Artificial Intelligence · Computer Science 2023-10-06 Kwanseok Oh , Da-Woon Heo , Ahmad Wisnu Mulyadi , Wonsik Jung , Eunsong Kang , Kun Ho Lee , Heung-Il Suk

Deep learning models for medical image classification are susceptible to subgroup performance disparities across demographic attributes such as age, gender, and race. We identify a latent representational mechanism underlying these…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Abin Shoby , Lyle John Palmer , Nikhil Cherian Kurian

Increasing effort in brain image analysis has been dedicated to early diagnosis of Alzheimer's disease (AD) based on neuroimaging data. Most existing studies have been focusing on binary classification problems, e.g., distinguishing AD…

Computer Vision and Pattern Recognition · Computer Science 2017-09-14 Hongming Li , Mohamad Habes , Yong Fan

Neurodegenerative diseases are characterized as the progressive loss of neural cells, e.g. neurons, glial cells. Ageing, monogenic variations, viral infections, and many other factors are determined and speculated as causes for them. While…

Molecular Networks · Quantitative Biology 2019-09-18 Abdulahad Bayraktar , Tugba Onal-Suzek , Baris Ethem Suzek , Omur Baysal

Amyloid-$\beta$ (A$\beta$) plaques in conjunction with hyperphosphorylated tau proteins in the form of neurofibrillary tangles are the two neuropathological hallmarks of Alzheimer's disease. It is well-known that the identification of…

It is well known that today nearly one in six of the world's population has to deal with neurodegenerative disorders. While a number of medical devices have been developed for the detection, prevention, and treatments of such disorders,…

Neurons and Cognition · Quantitative Biology 2021-12-23 Swadesh Pal , Roderick Melnik

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…

Image and Video Processing · Electrical Eng. & Systems 2021-06-17 Hossein Yousefi-Banaem , Saber Malekzadeh

There is growing interest in understanding how the structural interconnections among brain regions change with the occurrence of neurological diseases. Diffusion weighted MRI imaging has allowed researchers to non-invasively estimate a…

Applications · Statistics 2015-10-20 Daniele Durante , Madelaine Daianu , Neda Jahanshad , Paul M. Thompson , David B. Dunson

Alzheimer's disease (AD) is an irreversible devastative neurodegenerative disorder associated with progressive impairment of memory and cognitive functions. Its early diagnosis is crucial for the development of possible future treatment…

Computer Vision and Pattern Recognition · Computer Science 2020-04-07 Ahsan Bin Tufail , Qiu-Na Zhang , Yong-Kui Ma

Parkinsons disease (PD) is considered one of the most frequent neurological diseases in the world. There is a need to study the early and efficient biomarkers of Parkinsons, such as changes in structural disorders like DNA and chromatin,…

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