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相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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: Jun 15, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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[使用多种有效连接方法在休息状态fMRI中分析频率依赖的人类大脑信息流]

Zhizheng Zhuo1, Zhuyuerong Li1, Yaou Liu1

  • 1（ 100070） Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
|September 18, 2025
PubMed
概括

大脑连接在频段之间有所不同. 低频率显示信息流入尾叶和尾叶,而高频率显示相反的方向,揭示了依赖频率的大脑网络模式.

关键词:
收交叉映射对应的交叉映射频率依赖的 频率依赖格兰杰因果关系分析信息流的信息流.静止状态功能磁共振成像技术转移是指转移.

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科学领域:

  • 神经科学是一个神经科学.
  • 大脑的连接性 大脑的连接性
  • 功能性磁共振成像技术 功能性磁共振成像技术

背景情况:

  • 休息状态功能磁共振成像 (rs-fMRI) 对于理解内在大脑功能至关重要.
  • 有效的大脑网络连接分析旨在绘制方向信息流的地图.
  • 在rs-fMRI中调查频率特定的模式对于全面了解大脑动态至关重要.

研究的目的:

  • 通过使用静止状态功能磁共振成像 (rs-fMRI) 来研究人类大脑在不同频段的信息流模式.
  • 用七种不同的分析方法评估有效的大脑网络连接.
  • 探索大脑通信的依赖频率的特征.

主要方法:

  • 分析了来自60名健康志愿者的rs-fMRI数据 (人类结合体项目).
  • 在低 (0.01-0.08 Hz),高 (0.08-0.69 Hz) 和整个 (0.01-0.69 Hz) 频段中检查了信息流模式.
  • 方法包括格兰杰因果分析,转移和融合交叉映射.

主要成果:

  • 低频带:信息流主要来自下皮层和边缘区域,向尾和尾叶流动.
  • 高频带和整个频带:与低频带相比,信息流呈现出相反的方向.
  • 在偏好的信息流方向和相对功率在低频和高频频段之间观察到显著的负相关性.

结论:

  • 多模式有效连接分析揭示了人类大脑中依赖频率的信息流模式.
  • 该研究验证了不同方法在评估定向信息传输方面的一致性.
  • 这些发现为休息状态大脑功能的调节机制提供了新的见解.