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

Brain Imaging01:14

Brain Imaging

320
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
320
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

7.2K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
7.2K

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

Multimodal subspace independent vector analysis effectively captures latent relationships between brain structure and function.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

High-resolution MRI evidence for age- and sex-related changes in hippocampal subfield volume during healthy aging.

GeroScience·2026
Same author

Spatiotemporal Decoding of Explore-Exploit Decisions in the Human Brain.

bioRxiv : the preprint server for biology·2026
Same author

Structure-function coupling of large-scale cortical networks across the lifespan is spectrally specific.

Communications biology·2026
Same author

Explainable Multimodal Graph Isomorphism Network for Interpreting Sex Differences in Adolescent Neurodevelopment.

Applied sciences (Basel, Switzerland)·2026
Same author

Dynamic Fusion of Genomics and Functional Network Connectivity in UK Biobank Reveals Schizophrenia-Related SNP Manifolds.

Human brain mapping·2026

相关实验视频

Updated: Sep 17, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.4K

分析发育中的大脑的纵向变化模式使用功能和结构磁共振成像通过多模式融合.

Rekha Saha1, Debbrata K Saha1, Zening Fu1

  • 1Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.

Human brain mapping
|July 3, 2025
PubMed
概括

功能性和结构性MRI的结合揭示了青少年大脑的关键变化. 这项研究将功能变化模式与大脑结构联系起来,揭示神经发育中的性别特异性差异,以便全面理解.

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

11.8K
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.4K

相关实验视频

Last Updated: Sep 17, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.4K
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

11.8K
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.4K

科学领域:

  • 神经科学是一个神经科学.
  • 发育神经科学的发展神经科学.
  • 脑部成像 脑部成像

背景情况:

  • 青少年大脑发育涉及功能和结构的复杂纵向变化.
  • 功能性MRI (fMRI) 和结构性MRI (sMRI) 提供了互补的见解,但通常被孤立地研究.
  • 之前的工作已经确定了青春期多变量功能变化模式 (FCPs).

研究的目的:

  • 通过多式联,将之前识别的FCP与结构模式联系起来.
  • 调查青少年时期大脑功能和结构的结合中性别特异性的差异.
  • 通过整合fMRI和sMRI,更全面地了解青少年大脑发育.

主要方法:

  • 在青少年大脑和认知发展 (ABCD) 数据集中应用了两种多式融合方法.
  • 评估voxel-wise的sMRI-FCP不对称性合,以确定与FCP相关的结构模式.
  • 采用多组合法定相关性分析 (mCCA) +联合独立组件分析 (jICA) 进行对称的多式联.

主要成果:

  • 确定了FCP和灰色物质体积 (GMV) 变化之间的显著关联.
  • 发现了与结构变化模式 (SCP) 相关的结构化FCP,包括感觉运动皮层的变化.
  • 与男性相比,在女性中观察到更强的功能-结构大脑连接性合.

结论:

  • 结合不对称和对称的融合方法在青春期揭示了复杂的,特定于性别的神经动态.
  • 多模式集成增强了对不断变化的全脑连接和结构的理解.
  • 这项研究揭示了青少年大脑发育背后的细微过程.