Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Distinct trajectories of low anterior resection syndrome following ileostomy reversal.

Frontiers in medicine·2026
Same author

Regional distribution characteristics of eyelid Demodex in patients with squamous blepharitis.

BMC ophthalmology·2026
Same author

Divergent Spatiotemporal Expression Patterns of Histone Deacetylases During Mouse Embryonic Tongue, Palate, and Mandible Development.

Genesis (New York, N.Y. : 2000)·2026
Same author

Cyclin-Dependent Kinases 4 and 6 Inhibitors: An Emerging Therapeutic Framework from Growth Suppression to Tumor Clearance.

ACS pharmacology & translational science·2026
Same author

KMnO<sub>4</sub>-modified coal-based humic acid residue for Cd<sup>2+</sup> removal: preparation, adsorption performance and mechanism.

Environmental geochemistry and health·2026
Same author

Microbial Shifts Across Endosphere and Rhizosphere as Strategy for Drought Adaptation in Shrub Ammopiptanthus mongolicus.

Journal of basic microbiology·2026

相关实验视频

Updated: Sep 17, 2025

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

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

Published on: August 7, 2017

8.0K

空间时间动态功能性大脑网络用于轻度认知障碍的分析分析.

Shipeng Wen1, Jingru Wang1, Wenjie Liu2

  • 1Wangzheng School of Microelectronics, Changzhou University, Changzhou, China.

Frontiers in neuroscience
|June 30, 2025
PubMed
概括

这项研究引入了一种新的大脑网络分析方法,用于早期发现阿尔茨海默病 (AD). 该方法通过分析动态功能连接来准确识别AD患者,有助于及时诊断和干预.

关键词:
在DMNs中,使用DMN.关注注意力注意力注意力注意力动态功能连接的功能连接.早期的阿尔茨海默氏症疾病.rS-fMRI 是一个

更多相关视频

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.2K

相关实验视频

Last Updated: Sep 17, 2025

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
08:43

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

Published on: August 7, 2017

8.0K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.3K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.2K

科学领域:

  • 神经成像是一种神经成像.
  • 神经科学是一个神经科学.
  • 医学诊断 医学诊断 医学诊断

背景情况:

  • 阿尔茨海默病 (AD) 是一种进展性神经退行性疾病.
  • 轻度认知障碍 (MCI) 是AD的常见前体.
  • 早期发现MCI对于有效的干预至关重要.

研究的目的:

  • 开发和评估一种用于分析动态大脑网络的新型时空方法.
  • 改善早期发现和分类阿尔茨海默病 (AD) 和轻度认知障碍 (MCI).
  • 通过使用动态功能连接来识别早期AD受影响的大脑区域.

主要方法:

  • 使用了静止状态功能磁共振成像 (fMRI) 数据.
  • 应用了一种新的时空分析方法来评估动态功能连接.
  • 在85名受试者的数据集上评估了该方法,包括健康对照,EMCI和ADNI数据库中的ADNI患者.

主要成果:

  • 拟议的模型在区分AD与健康对照时实现了83.9%的准确性和83.1%的AUC.
  • 确定了关键受影响的大脑区域,包括海马体,杏仁体,顶叶,嗅觉皮质,前体和胰.
  • 与现有技术相比,表现出优越的性能.

结论:

  • 动态功能连接分析为非侵入性和可解释的早期AD诊断提供了一个有希望的途径.
  • 确定的大脑区域与早期阿尔茨海默病的已知病理学一致.
  • 这种方法有可能提高诊断的准确性,并促进及时的治疗干预.