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White matter hyperintensities (WMH) are key imaging markers in cognitive aging, Alzheimer's disease (AD), and related dementias. Although automated methods for WMH segmentation have advanced, most provide only global lesion load and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-19 Julia Machnio , Mads Nielsen , Mostafa Mehdipour Ghazi

Magnetic Resonance Imaging (MRI) provides detailed structural information, while functional MRI (fMRI) captures temporal brain activity. In this work, we present a multimodal deep learning framework that integrates MRI and fMRI for…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Anima Kujur , Zahra Monfared

The human brain has a complex, intricate functional architecture. While many studies primarily emphasize pairwise interactions, delving into high-order associations is crucial for a comprehensive understanding of how functional brain…

Neurons and Cognition · Quantitative Biology 2023-10-30 Qiang Li , Vince D. Calhoun , Adithya Ram Ballem , Shujian Yu , Jesus Malo , Armin Iraji

The pathology of Alzheimer's disease (AD) and mild cognitive impairment (MCI) is characterized by the presence of beta-amyloid extracellular plaques and neurofibrillary tangles containing hyper-phosphorylated tau. Individuals carrying the…

Medical Physics · Physics 2022-03-31 Jason Langley , Daniel E. Huddleston , Ilana J. Bennett , Xiaoping P. Hu

Current neuroimaging techniques provide paths to investigate the structure and function of the brain in vivo and have made great advances in understanding Alzheimer's disease (AD). However, the group-level analyses prevalently used for…

Quantitative Methods · Quantitative Biology 2021-05-31 Nanyan Zhu , Chen Liu , Xinyang Feng , Dipika Sikka , Sabrina Gjerswold-Selleck , Scott A. Small , Jia Guo

Huntington's disease (HD) is an inherited neurodegenerative disorder caused by an expanded CAG repeat in the coding sequence of the huntingtin protein. Initially, it predominantly affects medium-sized spiny neurons (MSSNs) of the corpus…

Computational models of neurodegeneration aim to emulate the evolving pattern of pathology in the brain during neurodegenerative disease, such as Alzheimer's disease. Previous studies have made specific choices on the mechanisms of…

Quantitative Methods · Quantitative Biology 2023-08-11 Tiantian He , Elinor Thompson , Anna Schroder , Neil P. Oxtoby , Ahmed Abdulaal , Frederik Barkhof , Daniel C. Alexander

Alterations in structural brain laterality are reported in attention-deficit/hyperactivity disorder (ADHD). However, few studies examined differences within presentations of ADHD. We investigate asymmetry index (AI) across 13 subcortical…

Neurons and Cognition · Quantitative Biology 2020-10-27 Cintya Nirvana Dutta , Pamela K. Douglas , Hernando Ombao

Dementia is a syndrome characterised by the decline of different cognitive abilities. Alzheimer's Disease (AD) is the most common dementia affecting cognitive domains such as memory and learning, perceptual-motion or executive function.…

Computer Vision and Pattern Recognition · Computer Science 2018-10-26 Juan Manuel Fernández Montenegro

Alzheimer's Disease (AD) is a severe brain disorder, destroying memories and brain functions. AD causes chronically, progressively, and irreversibly cognitive declination and brain damages. The reliable and effective evaluation of early…

Image and Video Processing · Electrical Eng. & Systems 2021-01-07 Kuo Yang , Emad A. Mohammed

Several new aspects of the subtle interplay between electronic correlations and disorder are reviewed. First, the dynamical mean-field theory (DMFT)together with the geometrically averaged ("typical") local density of states is employed to…

Strongly Correlated Electrons · Physics 2015-05-18 K. Byczuk , W. Hofstetter , U. Yu , D. Vollhardt

This paper explores deterioration in Alzheimers Disease using Machine Learning. Subjects were split into two datasets based on baseline diagnosis (Cognitively Normal, Mild Cognitive Impairment), with outcome of deterioration at final visit…

Machine Learning · Computer Science 2023-06-21 Henry Musto , Daniel Stamate , Ida Pu , Daniel Stahl

Deep learning has been recently used for the analysis of neuroimages, such as structural magnetic resonance imaging (MRI), functional MRI, and positron emission tomography (PET), and has achieved significant performance improvements over…

Image and Video Processing · Electrical Eng. & Systems 2020-05-12 Li Zhang , Mingliang Wang , Mingxia Liu , Daoqiang Zhang

Alzheimer's disease is a progressive neurodegenerative disorder that gradually deprives the patient of cognitive function and can end in death. With the advancement of technology today, it is possible to detect Alzheimer's disease through…

Image and Video Processing · Electrical Eng. & Systems 2022-07-05 Muhammad Wildan Oktavian , Novanto Yudistira , Achmad Ridok

We have studied the high-pressure iron bcc to hcp phase transition by simultaneous X-ray Magnetic Circular Dichroism (XMCD) and X-ray Absorption Spectroscopy (XAS) with an X-ray dispersive spectrometer. The combination of the two techniques…

Other Condensed Matter · Physics 2009-11-10 O. Mathon , F. Baudelet , J. P. Itie , A. Polian , M. D'Astuto , J. C. Chervin , S. Pascarelli

Alzheimer's disease (AD) diagnosis requires integrating neuroimaging with heterogeneous clinical evidence and reasoning under established criteria, yet most multimodal models remain opaque and weakly guideline-aligned. We present…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Qiuhui Chen , Yushan Deng , Xuancheng Yao , Yi Hong

Alzheimer's disease is one of the diseases that mostly affects older people without being a part of aging. The most common symptoms include problems with communicating and abstract thinking, as well as disorientation. It is important to…

Image and Video Processing · Electrical Eng. & Systems 2020-12-01 Fatih Altay , Guillermo Ramon Sanchez , Yanli James , Stephen V. Faraone , Senem Velipasalar , Asif Salekin

The problem of noninteracting electrons in the presence of annealed magnetic disorder, in addition to nonmagnetic quenched disorder, is considered. It is shown that the proper physical interpretation of this model is one of electrons…

Statistical Mechanics · Physics 2009-11-07 D. Belitz , T. R. Kirkpatrick

Hemoglobin (Hb) is a multifaceted protein, classified as a metalloprotein, chromoprotein, and globulin. It incorporates iron, which plays a crucial role in transporting oxygen within red blood cells. Hb functions by carrying oxygen from the…

Bipolar Disorder (BD) is a psychiatric condition diagnosed by repetitive cycles of hypomania and depression. Since diagnosing BD relies on subjective behavioral assessments over a long period, a solid diagnosis based on objective criteria…

Image and Video Processing · Electrical Eng. & Systems 2023-10-12 Masood Hamed Saghayan , Mohammad Hossein Zolfagharnasab , Ali Khadem , Farzam Matinfar , Hassan Rashidi