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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

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…

Image and Video Processing · Electrical Eng. & Systems 2025-01-29 Jing Zhang , Yanjun Lyu , Xiaowei Yu , Lu Zhang , Chao Cao , Tong Chen , Minheng Chen , Yan Zhuang , Tianming Liu , Dajiang Zhu

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

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…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Mahdieh Behjat Khatooni , Mohsen Soryani

Alzheimer's disease (AD) progresses through distinct stages, from early mild cognitive impairment (EMCI) to late mild cognitive impairment (LMCI) and eventually to AD. Accurate identification of these stages, especially distinguishing LMCI…

Computer Vision and Pattern Recognition · Computer Science 2025-01-13 Aswini Kumar Patra , Soraisham Elizabeth Devi , Tejashwini Gajurel

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

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…

Image and Video Processing · Electrical Eng. & Systems 2022-03-10 Yiran Wei , Stephen J. Price , Carola-Bibiane Schönlieb , Chao Li

Introduction: It is challenging at baseline to predict when and which individuals who meet criteria for mild cognitive impairment (MCI) will ultimately progress to Alzheimer's disease (AD) dementia. Methods: A deep learning method is…

Computer Vision and Pattern Recognition · Computer Science 2019-04-17 Hongming Li , Mohamad Habes , David A. Wolk , Yong Fan

Mild cognitive impairment (MCI) is the prodromal stage of Alzheimer's disease (AD) and thus enrolling MCI subjects to undergo clinical trials is worthwhile. However, MCI groups usually show significant diversity and heterogeneity in the…

Quantitative Methods · Quantitative Biology 2025-08-26 Muheng Shang , Jin Zhang , Junwei Han , Lei Du

The transition from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is of great interest to clinical researchers. This phenomenon also serves as a valuable data source for quantitative methodological researchers developing new…

Applications · Statistics 2020-12-02 Zihuan Liu , Tapabrate Maiti , Andrew R. Bender

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…

Image and Video Processing · Electrical Eng. & Systems 2023-08-01 Mona Ashtari-Majlan , Abbas Seifi , Mohammad Mahdi Dehshibi

The prediction of subjects with mild cognitive impairment (MCI) who will progress to Alzheimer's disease (AD) is clinically relevant, and may above all have a significant impact on accelerate the development of new treatments. In this…

Image and Video Processing · Electrical Eng. & Systems 2019-07-16 Kilian Hett , Vinh-Thong Ta , José V. Manjón , Pierrick Coupé

Subjective cognitive decline (SCD) is a preclinical stage of Alzheimer's disease (AD) which occurs even before mild cognitive impairment (MCI). Progressive SCD will convert to MCI with the potential of further evolving to AD. Therefore,…

Computer Vision and Pattern Recognition · Computer Science 2023-02-17 Hao Guan , Ling Yue , Pew-Thian Yap , Shifu Xiao , Andrea Bozoki , Mingxia Liu

Early prognosis of Alzheimer's dementia is hard. Mild cognitive impairment (MCI) typically precedes Alzheimer's dementia, yet only a fraction of MCI individuals will progress to dementia, even when screened using biomarkers. We propose here…

Quantitative Methods · Quantitative Biology 2018-03-05 Christian Dansereau , Angela Tam , AmanPreet Badhwar , Sebastian Urchs , Pierre Orban , Pedro Rosa-Neto , Pierre Bellec

Alzheimer's disease (AD) is the most prevalent form of dementia. Traditional methods cannot achieve efficient and accurate diagnosis of AD. In this paper, we introduce a novel method based on dynamic functional connectivity (dFC) that can…

Computer Vision and Pattern Recognition · Computer Science 2020-06-25 Xingwei An , Yutao Zhou , Yang Di , Dong Ming

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…

Signal Processing · Electrical Eng. & Systems 2024-04-02 Arezoo Borji , Taha-Hossein Hejazi , Abbas Seifi

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…

Machine Learning · Computer Science 2018-02-20 Fengyi Tang , Kaixiang Lin , Ikechukwu Uchendu , Hiroko H. Dodge , Jiayu Zhou

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…

Computer Vision and Pattern Recognition · Computer Science 2017-10-16 Donghuan Lu , Karteek Popuri , Weiguang Ding , Rakesh Balachandar , Mirza Faisal Beg

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…

Unveiling pathological brain changes associated with Alzheimer's disease (AD) is a challenging task especially that people do not show symptoms of dementia until it is late. Over the past years, neuroimaging techniques paved the way for…

Quantitative Methods · Quantitative Biology 2018-08-07 Mayssa Soussia , Islem Rekik
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