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

Neurobiological subtypes in alcohol use disorder and their phenotypic and clinical profiles.

Molecular psychiatry·2026
Same author

Evidence for a Shared Vulnerability to Both Anxiety/Depression ("Internalizing") Disorder and Alcohol-Related Problems.

Journal of studies on alcohol and drugs·2026
Same author

Mental Health Outcomes of Foster and Adopted Individuals with Adverse Childhood Experiences: A Validation of Known Risks Using EHR Data.

medRxiv : the preprint server for health sciences·2026
Same author

Before Birth, Beyond Childhood: Understanding the Influence of Prenatal Substance Exposure on Psychiatric Diagnoses.

medRxiv : the preprint server for health sciences·2026
Same author

Utilization and Costs Among Bladder Cancer, Other Cancer, and Noncancer Populations in the United States.

Urology·2026
Same author

Gastrointestinal bleeding risk among antithrombotics users: a propensity score matched study of drug classes.

Expert opinion on drug metabolism & toxicology·2026

相关实验视频

Updated: Jul 6, 2025

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.3K

对于fMRI数据的因果发现:挑战,解决方案和一个案例研究

Eric Rawls1, Bryan Andrews1, Kelvin Lim1,2

  • 1Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota, USA.

ArXiv
|January 10, 2024
PubMed
概括

功能磁共振成像 (fMRI) 研究中的因果发现提出了九个挑战和决策点. 虽然对fMRI数据分析有希望,但目前的方法需要进一步开发以获得最佳应用.

科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学

更多相关视频

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

11.7K
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

相关实验视频

Last Updated: Jul 6, 2025

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.3K
Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

11.7K
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
  • 计算生物学 计算生物学
  • 背景情况:

    • 功能磁共振成像 (fMRI) 是理解大脑功能的一个关键工具.
    • 因果发现方法为fMRI中的传统功能连接分析提供了强大的替代方案.
    • 将因果发现应用到fMRI数据中,由于研究人员的自由度,引入了显著的复杂性.

    结论:

    • 因果发现显示优于传统的fMRI功能连接方法.
    • 目前用于fMRI分析的因果发现技术需要进一步的方法进步.
    • 未来的研究应该专注于开发改进的方法来解决发现的差距.