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

Identification of patients receiving amyloid-targeting therapies in observational studies using amyloid PET trajectories: Insights from LEADS.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

Development and validation of a harmonized memory score for multicenter Alzheimer's disease and related dementia research.

Alzheimer's research & therapy·2026
Same author

Tau topography subtypes account for clinical heterogeneity and longitudinal trajectories in early-onset Alzheimer's disease.

Brain communications·2026
Same author

Computational learning phenotypes are not related to individual differences in resting-state fMRI connectivity.

Frontiers in neuroscience·2026
Same author

Cognitive dispersion profiles and prediction of cognitive change in early-onset dementias: Results from LEADS.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Criterion and convergent validity of plasma biomarkers in early-onset Alzheimer's disease: Initial findings from LEADS.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026

相关实验视频

Updated: Jun 16, 2025

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

18.0K

通过富里埃分析,通过人口层次的任务唤起功能连接.

Kun Meng1, Ani Eloyan2

  • 1Division of Applied Mathematics, Brown University, Providence, RI, USA.

Journal of the Royal Statistical Society. Series C, Applied statistics
|August 15, 2024
PubMed
概括

本研究引入了使用fMRI数据的任务唤起功能连接 (ptFC) 的新定义. 拟议的方法提供了可解释的见解,在任务期间大脑区域的关联.

科学领域:

  • 神经成像是一种神经成像.
  • 认知神经科学 认知神经科学
  • 大脑的连接性 大脑的连接性

背景情况:

  • 功能磁共振成像 (fMRI) 对于非侵入性体内脑活动测量至关重要.
  • 功能连接分析检查了任务或休息期间大脑区域之间的关系.
  • 现有的方法在任务fMRI上下文中缺乏明确的解释性.

研究的目的:

  • 在人口层面 (ptFC) 定义任务唤起的功能连接.
  • 为基于任务的大脑连接开发一种可解释和严格的测量方法.
  • 为估计ptFC提供一个算法.

主要方法:

  • 提出了人口层面任务唤起的功能连接 (ptFC) 的新定义.
  • 开发了一个算法来估计拟议的ptFC测量.
  • 使用模拟对现有框架进行算法的性能评估.

主要成果:

  • 拟议的ptFC定义可以在任务fMRI研究中解释.
  • 模拟显示了ptFC估计算法的性能.
  • 成功地应用了算法来估计人体连接体项目的机动任务数据集中的ptFC.
关键词:
这就是AMUSE算法.人类连接体项目 人类连接体项目机器任务 机器任务微弱静止,平均值为零.

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

10.2K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.7K

相关实验视频

Last Updated: Jun 16, 2025

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

18.0K
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

10.2K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.7K

结论:

  • 开发的ptFC为基于任务的大脑连接提供了严格且可解释的测量方法.
  • 该算法提供了一种可靠的方法,用于从fMRI数据中估计ptFC.
  • 这项工作推进了任务fMRI研究中大脑网络的分析.