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Alzheimer's disease (AD) is one the main causes of dementia in the world and the patients develop severe disability and sometime full dependence. In previous stages Mild Cognitive Impairment (MCI) produces cognitive loss but not severe…

Mild Cognitive Impairment (MCI) is an early stage of Alzheimer's disease (AD), a form of neurodegenerative disorder. Early identification of MCI is crucial for delaying its progression through timely interventions. Existing research has…

音频与语音处理 · 电气工程与系统科学 2024-10-18 Kristin Qi , Jiatong Shi , Caroline Summerour , John A. Batsis , Xiaohui Liang

Dementia is a group of irreversible, chronic, and progressive neurodegenerative disorders resulting in impaired memory, communication, and thought processes. In recent years, clinical research advances in brain aging have focused on the…

Early detection of Mild Cognitive Impairment (MCI) leads to early interventions to slow the progression from MCI into dementia. Deep Learning (DL) algorithms could help achieve early non-invasive, low-cost detection of MCI. This paper…

计算机视觉与模式识别 · 计算机科学 2024-06-25 Muath Alsuhaibani , Hiroko H. Dodge , Mohammad H. Mahoor

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…

计算机视觉与模式识别 · 计算机科学 2019-01-08 Hongming Li , Yong Fan

Alzheimer's disease (AD) is the most common age-related dementia. Mild cognitive impairment (MCI) is the early stage of cognitive decline before AD. It is crucial to predict the MCI-to-AD conversion for precise management, which remains…

图像与视频处理 · 电气工程与系统科学 2022-03-10 Yiran Wei , Stephen J. Price , Carola-Bibiane Schönlieb , Chao Li

Early detection of Alzheimer's Dementia (AD) and Mild Cognitive Impairment (MCI) is critical for timely intervention, yet current diagnostic approaches remain resource-intensive and invasive. Speech, encompassing both acoustic and…

Alzheimer's disease is the most common cause of dementia that affects millions of lives worldwide. Investigating the underlying causes and risk factors of Alzheimer's disease is essential to prevent its progression. Mild Cognitive…

机器学习 · 计算机科学 2023-08-22 Deniz Sezin Ayvaz , Inci M. Baytas

Early detection of Alzheimer's Disease (AD) and its prodromal state, Mild Cognitive Impairment (MCI), is crucial for providing suitable treatment and preventing the disease from progressing. It can also aid researchers and clinicians to…

图像与视频处理 · 电气工程与系统科学 2023-05-02 Arunima Jaiswal , Ananya Sadana

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that progressively impairs memory, decision-making, and overall cognitive function. As AD is irreversible, early prediction is critical for timely intervention and…

计算机视觉与模式识别 · 计算机科学 2025-12-01 Mahdieh Behjat Khatooni , Mohsen Soryani

Predicting Mild Cognitive Impairment (MCI) is currently a challenge as existing diagnostic criteria rely on neuropsychological examinations. Automated Machine Learning (ML) models that are trained on verbal utterances of MCI patients can…

计算与语言 · 计算机科学 2015-12-11 Sylvester Olubolu Orimaye , Kah Yee Tai , Jojo Sze-Meng Wong , Chee Piau Wong

Alzheimer's disease is a progressive neurodegenerative disorder that primarily affects cognitive functions such as memory, thinking, and behavior. In this disease, there is a critical phase, mild cognitive impairment, that is really…

信号处理 · 电气工程与系统科学 2024-04-02 Arezoo Borji , Taha-Hossein Hejazi , Abbas Seifi

An interpretable machine learning (ML) framework is introduced to enhance the diagnosis of Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) by ensuring robustness of the ML models' interpretations. The dataset used comprises…

Early diagnosis of Alzheimer's disease and its prodromal stage, also known as mild cognitive impairment (MCI), is critical since some patients with progressive MCI will develop the disease. We propose a multi-stream deep convolutional…

图像与视频处理 · 电气工程与系统科学 2023-08-01 Mona Ashtari-Majlan , Abbas Seifi , Mohammad Mahdi Dehshibi

Alzheimer's disease is a neurogenerative disease that alters memories, cognitive functions leading to death. Early diagnosis of the disease, by detection of the preliminary stage, called Mild Cognitive Impairment (MCI), remains a…

图像与视频处理 · 电气工程与系统科学 2020-12-03 Achraf Ben Miled , Taoufik Yeferny , Amira ben Rabeh

Mild cognitive impairment (MCI) is characterized by subtle changes in cognitive functions, often associated with disruptions in brain connectivity. The present study introduces a novel fine-grained analysis to examine topological…

计算机视觉与模式识别 · 计算机科学 2024-08-29 Ninad Aithal , Debanjali Bhattacharya , Neelam Sinha , Thomas Gregor Issac

Alzheimer's Disease (AD) is a progressive neurodegenerative disease. Amnestic mild cognitive impairment (MCI) is a common first symptom before the conversion to clinical impairment where the individual becomes unable to perform activities…

计算机视觉与模式识别 · 计算机科学 2017-10-16 Donghuan Lu , Karteek Popuri , Weiguang Ding , Rakesh Balachandar , Mirza Faisal Beg

Dementia is a syndrome, generally of a chronic nature characterized by a deterioration in cognitive function, especially in the geriatric population and is severe enough to impact their daily activities. Early diagnosis of dementia is…

音频与语音处理 · 电气工程与系统科学 2020-07-21 Rupayan Chakraborty , Meghna Pandharipande , Chitralekha Bhat , Sunil Kumar Kopparapu

Mild cognitive impairment (MCI) is a prodromal phase in the progression from normal aging to dementia, especially Alzheimers disease. Even though there is mild cognitive decline in MCI patients, they have normal overall cognition and thus…

机器学习 · 计算机科学 2018-02-20 Fengyi Tang , Kaixiang Lin , Ikechukwu Uchendu , Hiroko H. Dodge , Jiayu Zhou

Dynamic functional connectivity (dFC) using resting-state functional magnetic resonance imaging (rs-fMRI) is an advanced technique for capturing the dynamic changes of neural activities, and can be very useful in the studies of brain…

图像与视频处理 · 电气工程与系统科学 2025-01-29 Jing Zhang , Yanjun Lyu , Xiaowei Yu , Lu Zhang , Chao Cao , Tong Chen , Minheng Chen , Yan Zhuang , Tianming Liu , Dajiang Zhu
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