相关实验视频

Updated: Jun 19, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

一个新的时空图形卷积网络框架,用于功能连接生物标志物,识别阿尔茨海默病的疾病

Ying Zhang¹, Le Xue², Shuoyan Zhang¹

¹School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, China.

Alzheimer's research & therapy

|March 14, 2024

概括

一个基于梯度的类激活映射 (STGC-GCAM) 的新型时空图卷积网络有效地识别了阿尔茨海默病 (AD) 的功能连接 (FC) 生物标志物. 这种方法准确地区分认知状态,并预测疾病的进展,为AD机制提供了新的见解.

科学领域:

神经成像是一种神经成像.
人工智能的人工智能
生物标志物发现发现

背景情况:

功能连接 (FC) 生物标志物对于早期阿尔茨海默病 (AD) 诊断和了解疾病机制至关重要.
鉴定AD的有效FC生物标志物仍然是神经科学研究中的一个重大挑战.

研究的目的:

引入和验证一种新的STGC-GCAM框架,用于识别阿尔茨海默病中强大的FC生物标志物.
通过使用先进的深度学习技术,提高AD分类的准确性.
阐明已识别的生物标志物的生理学意义,与疾病进展和潜在的病理学有关.

主要方法:

一项多中心,跨种族的回顾性研究,涉及2,272名参与者 (认知正常,轻度认知障碍,AD患者).
利用功能磁共振成像 (fMRI) 数据和一种新的时空图卷积网络,与基于梯度的类激活映射 (STGC-GCAM) 相结合.
采用卡普兰-梅尔分析来验证生物标志物,以及相关性和因果调解分析来确认生理相关性.

主要成果:

在STGC-GCAM模型中,在不同认知群体中实现了高分类性能 (AUC从0.79到0.98不等).
确定了感应运动,视觉和默认模式网络作为AD的关键区分因素.
证明已识别的生物标志物预测MCI转化为AD (HR=3.885) 并调解粉样β和葡萄糖代谢对认知状态的影响.

结论:

开发的STGC-GCAM框架有效地使用大型的多站点fMRI数据集识别阿尔茨海默病的功能连接生物标志物.
鉴定到的生物标志物显示出与认知障碍严重程度的显著关联,并预测疾病的进展.
这种方法为推进AD诊断和理解其复杂的病理生理学提供了一个有希望的工具.

关键词:

阿尔茨海默氏症是阿尔茨海默氏症的一种疾病.功能连接性的功能连接性.图表神经网络的神经网络图像化生物标志物生物标志物多个站点的多个站点.

更多相关视频

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

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

Published on: August 7, 2017

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

相关概念视频

Alzheimer's Disease: Overview

Alzheimer's Disease: Overview

Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...

Dementia l: Introduction

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...