English
Related papers

Related papers: Behavior Score Prediction in Resting-State Functio…

200 papers

Alzheimer's disease (AD) is a neurodegenerative disorder marked by memory loss and cognitive decline, making early detection vital for timely intervention. However, early diagnosis is challenging due to the heterogeneous presentation of…

Neurons and Cognition · Quantitative Biology 2025-09-24 Ali Khazaee , Abdolreza Mohammadi , Ruairi O'Reilly

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

To understand multifactorial conditions such as Alzheimers disease (AD) we need brain signatures that predict the impact of multiple pathologies and their interactions. To help uncover the relationships between brain circuits and cognitive…

Quantitative Methods · Quantitative Biology 2018-12-31 Alexandra Badea , Natalie A Delpratt , RJ Anderson , Russell Dibb , Yi Qi , Hongjiang Wei , Chunlei Liu , William C Wetsel , Brian B Avants , Carol Colton

The ability to accurately detect onset of dementia is important in the treatment of the disease. Clinically, the diagnosis of Alzheimer Disease (AD) and Mild Cognitive Impairment (MCI) patients are based on an integrated assessment of…

Signal Processing · Electrical Eng. & Systems 2022-11-18 Wan-Ting Hsieh , Jeremy Lefort-Besnard , Hao-Chun Yang , Li-Wei Kuo , Chi-Chun Lee

Functional connectivity, as estimated using resting state fMRI, has shown potential in bridging the gap between pathophysiology and cognition. However, clinical use of functional connectivity biomarkers is impeded by unreliable estimates of…

Alzheimer's disease (AD) progresses from asymptomatic changes to clinical symptoms, emphasizing the importance of early detection for proper treatment. Functional magnetic resonance imaging (fMRI), particularly dynamic functional network…

Computational Engineering, Finance, and Science · Computer Science 2024-08-02 Yuxiang Wei , Anees Abrol , James Lah , Deqiang Qiu , Vince D. Calhoun

Purpose: This study investigates whether a machine-learning-based system can predict the rate of cognitive decline in mildly cognitively impaired patients by processing only the clinical and imaging data collected at the initial visit.…

Quantitative Methods · Quantitative Biology 2020-10-07 Sema Candemir , Xuan V. Nguyen , Luciano M. Prevedello , Matthew T. Bigelow , Richard D. White , Barbaros S. Erdal

The most frequent kind of dementia of the nervous system, Alzheimer's disease, weakens several brain processes (such as memory) and eventually results in death. The clinical study uses magnetic resonance imaging to diagnose AD. Deep…

Image and Video Processing · Electrical Eng. & Systems 2023-10-30 Sarasadat Foroughipoor , Kimia Moradi , Hamidreza Bolhasani

Alzheimer's disease is a degenerative brain disease. Being the primary cause of Dementia in adults and progressively destroys brain memory. Though Alzheimer's disease does not have a cure currently, diagnosing it at an earlier stage will…

Machine Learning · Computer Science 2023-02-17 Shrish Pellakur , Nelly Elsayed , Zag ElSayed , Murat Ozer

Understanding the relationship between cognition and intrinsic brain activity through purely data-driven approaches remains a significant challenge in neuroscience. Resting-state functional magnetic resonance imaging (rs-fMRI) offers a…

Machine Learning · Computer Science 2024-11-01 Yutong Gao , Vince D. Calhoun , Robyn L. Miller

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

Deep learning, a cutting-edge machine learning approach, outperforms traditional machine learning in identifying intricate structures in complex high-dimensional data, particularly in the domain of healthcare. This study focuses on…

Computer Vision and Pattern Recognition · Computer Science 2024-05-21 Nida Nasir , Muneeb Ahmed , Neda Afreen , Mustafa Sameer

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

Time series from different regions of interest (ROI) of default mode network (DMN) from Functional Magnetic Resonance Imaging (fMRI) can reveal significant differences between healthy and unhealthy people. Here, we propose the utility of an…

Machine Learning · Computer Science 2024-07-30 Sneha Noble , Chakka Sai Pradeep , Neelam Sinha , Thomas Gregor Issac

Multi-modal biological, imaging, and neuropsychological markers have demonstrated promising performance for distinguishing Alzheimer's disease (AD) patients from cognitively normal elders. However, it remains difficult to early predict when…

Computer Vision and Pattern Recognition · Computer Science 2019-01-08 Hongming Li , Yong Fan

Identifying and utilising various biomarkers for tracking Alzheimer's disease (AD) progression have received many recent attentions and enable helping clinicians make the prompt decisions. Traditional progression models focus on extracting…

Machine Learning · Computer Science 2023-11-08 Xulong Wang , Yu Zhang , Menghui Zhou , Tong Liu , Jun Qi , Po Yang

Alzheimer's disease and Frontotemporal dementia are common forms of neurodegenerative dementia. Behavioral alterations and cognitive impairments are found in the clinical courses of both diseases and their differential diagnosis is…

Image and Video Processing · Electrical Eng. & Systems 2023-09-12 Huy-Dung Nguyen , Michaël Clément , Vincent Planche , Boris Mansencal , Pierrick Coupé

Alzheimer's Disease destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. It is a severe neurological brain disorder which is not curable, but earlier detection of Alzheimer's…

Computer Vision and Pattern Recognition · Computer Science 2017-12-21 Jyoti Islam , Yanqing Zhang

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

Brain networks from functional MRI have advanced our understanding of cortical activity and its disruption in neurodegenerative disorders. Recent work has increasingly focused on dynamic (time-varying) brain networks that capture both…

Neurons and Cognition · Quantitative Biology 2026-04-14 Nicolas Rubido , Venia Batziou , Marwan Fuad , Vesna Vuksanovic
‹ Prev 1 2 3 10 Next ›