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相关论文: Functional Hubs in Mild Cognitive Impairment

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Alzheimer's disease (AD) causes alterations of brain network structure and function. The latter consists of connectivity changes between oscillatory processes at different frequency channels. We proposed a multi-layer network approach to…

Mild cognitive impairment (MCI) leading to dementia results in a constellation of psychiatric disorders including depression, mood disorders, schizophrenia and others. With increasing age, mild cognitive impairment leads to increased…

神经元与认知 · 定量生物学 2023-08-10 Sheng Mai

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

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…

神经元与认知 · 定量生物学 2026-04-14 Nicolas Rubido , Venia Batziou , Marwan Fuad , Vesna Vuksanovic

The so-called Mild Cognitive Impairment (MCI) or cognitive loss appears in a previous stage before Alzheimer's Disease (AD), but it does not seem sufficiently severe to interfere in independent abilities of daily life, so it usually does…

Increased variability in performance has been associated with the emergence of several neurological and psychiatric pathologies. However, whether and how consistency of neuronal activity may also be indicative of an underlying pathology is…

神经元与认知 · 定量生物学 2014-10-31 J. H. Martínez , J. M. Pastor , P. Ariza , M. Zanin , D. Papo , F. Maestú , R. Bajo , S. Boccaletti , J. M. Buldú

INTRODUCTION: Mild cognitive impairment (MCI) is characterized by a decline in cognitive functions beyond typical age and education-related expectations. Since, MCI has been linked to reduced social interactions and increased aimless…

人工智能 · 计算机科学 2024-08-21 Chaitra Hegde , Yashar Kiarashi , Allan I Levey , Amy D Rodriguez , Hyeokhyen Kwon , Gari D Clifford

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.…

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

Emerging evidence shows that cognitive deficits in Alzheimer disease (AD) are associated with disruptions in brain functional connectivity. Thus, the identification of alterations in AD functional networks has become a topic of increasing…

神经元与认知 · 定量生物学 2018-02-27 A. Kabbara , H. Eid , EL W. Falou , M. Khalil , F. Wendling , M. Hassan

Mild cognitive impairment (MCI) is a high-risk dementia condition which progresses to probable Alzheimer's disease (AD) at approximately 10% to 15% per year. Characterization of group-level differences between two subtypes of MCI - stable…

神经元与认知 · 定量生物学 2021-06-15 Lu Zhang , Xiaowei Yu , Yanjun Lyu , Li Wang , Dajiang Zhu

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

Mild Cognitive Impairment (MCI) is a critical transitional stage between normal cognitive aging and dementia, making its early detection essential. This study investigates the neural mechanisms of distractor suppression in MCI patients…

Modularity plays an important role in brain networks' architecture and influences its dynamics and the ability to integrate and segregate different modules of cerebral regions. Alterations in community structure are associated with several…

神经元与认知 · 定量生物学 2018-05-14 M. Cinelli , I. Echegoyen , M. Oliveira , S. Orellana , T. Gili

Functional Magnetic Resonance Imaging (fMRI) is commonly utilized to study human brain activity, including abnormal functional properties related to neurodegenerative diseases. This study aims to investigate the differences in the…

神经元与认知 · 定量生物学 2023-05-17 Yongcheng Yao

In this study we focus on the problem of joint learning of multiple differential networks with function Magnetic Resonance Imaging (fMRI) data sets from multiple research centers. As the research centers may use different scanners and…

统计方法学 · 统计学 2021-06-08 Hao Chen , Ying Guo , Yong He , Dong Liu , Lei Liu , Xiao-Hua Zhou

In recent years, network analyses have been used to evaluate brain reorganization following stroke. However, many studies have often focused on single topological scales, leading to an incomplete model of how focal brain lesions affect…

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…

计算机视觉与模式识别 · 计算机科学 2025-01-13 Aswini Kumar Patra , Soraisham Elizabeth Devi , Tejashwini Gajurel

Mild cognitive impairment(MCI) is a precursor of Alzheimer's disease(AD), and the detection of MCI is of great clinical significance. Analyzing the structural brain networks of patients is vital for the recognition of MCI. However, the…

神经元与认知 · 定量生物学 2022-08-19 Heng Kong , Shuqiang Wang

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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