相关实验视频

Updated: Aug 4, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.7K

拓性质分析和基于个体形态大脑网络连接体的轻度认知障碍的识别

Xiaowen Xu1,2, Peiying Chen1,2, Weikai Li3,4

  • 1Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.

Cerebral cortex (New York, N.Y. : 1991)
|November 27, 2023
PubMed
概括

轻度认知障碍 (MCI) 显示出明显的脑网络变化,特别是在额头和边缘区域. 识别这些大脑连接组特征有助于早期发现阿尔茨海默病.

关键词:
大脑网络连接器 connectome轻度的认知障碍 轻度的认知障碍多个内核学习的多重内核学习结构磁共振成像 结构磁共振成像拓学属性 拓学属性

更多相关视频

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment08:43

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

7.9K
Modeling the Functional Network for Spatial Navigation in the Human Brain05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.1K

相关概念视频

Dementia l: Introduction01:22

Dementia l: Introduction

Dementia is an acquired, progressive syndrome characterized by a decline in multiple cognitive domains severe enough to impair daily functioning and reduce independence. Although memory loss is a central feature, the diagnosis requires additional deficits involving language, executive function, visuospatial skills, judgment, calculation, or abstract reasoning. These cognitive impairments reflect underlying neurodegenerative or vascular processes that gradually disrupt neuronal networks...