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相关概念视频

Brain Imaging01:14

Brain Imaging

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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...
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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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...
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相关实验视频

Updated: Jan 6, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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超越路径图在脑连接映射与dMRI形态测量和功能网络的脑连接映射.

Jui-To Wang1,2, Ching-Po Lin1,3,4, Huei-Min Liu3

  • 1Institute of Brain Science, National Yang Ming Chiao Tung University, Taipei, Taiwan.

Brain structure & function
|September 27, 2025
PubMed
概括

先进的脑成像技术,如dMRI形态测量和综合结构功能分析,为大脑网络提供了新的见解. 这些方法提高了对大脑疾病和可塑性的理解,人工智能集成有望在未来临床应用.

关键词:
功能性核磁共振成像 (MRI) 是一种功能性核磁共振成像.功能关联张力器功能关联张力器微观结构的微观结构结构功能合 结构功能合白质是白质的组成部分.

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Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
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相关实验视频

Last Updated: Jan 6, 2026

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科学领域:

  • 神经科学是一个神经科学.
  • 医疗成像医学成像
  • 计算生物学 计算生物学

背景情况:

  • 传统的研究依赖于扩散核磁共振 (dMRI) 轨道图以确定结构连接性和fMRI以确定功能连接性.
  • 新兴的方法正在增强对传统方法之外的复杂大脑网络的理解.

研究的目的:

  • 探索先进的大脑连接方法,超越传统的曲谱学.
  • 要突出dMRI形态测量和功能连接分析的整合.
  • 讨论神经发育障碍,神经疾病和大脑可塑性的影响.

主要方法:

  • 使用dMRI形态测量来定量评估白物质通路体积.
  • 整合结构和功能连接分析,包括扩散张力成像 (DTI) 与功能相关张力 (FCT) 分析.
  • 探索这些方法与人工智能的协同作用.

主要成果:

  • dMRI形态测量允许对白质完整性的定量评估.
  • 功能连接分析揭示了网络组织独立于直接的解剖联系.
  • 综合方法为大脑结构功能关系提供了新的视角.

结论:

  • 先进的连接方法可以更深入地了解大脑网络及其在疾病中的变化.
  • 与人工智能的整合对基础神经科学研究和临床应用都有很大的潜力.
  • 这些技术对于理解神经发育和神经系统疾病以及大脑可塑性至关重要.