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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

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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用扩散MRI估计大脑相似性网络

Amir Sadikov, Hannah L Choi, Lanya T Cai

    bioRxiv : the preprint server for biology
    |April 16, 2025
    PubMed
    概括

    扩散相似性网络 (DSNs) 使用扩散MRI绘制大脑结构图. DSN揭示了详细的组织,对个体差异敏感,并与其他大脑数据相关联,为大脑网络提供了新的见解.

    科学领域:

    • 神经成像是一种神经成像.
    • 计算神经科学是一种神经科学.
    • 人类大脑绘制地图

    背景情况:

    • 结构相似性是绘制人类大脑网络组织的关键方法.
    • 现有的方法可能缺乏详细的解剖学分辨率或对个体变异的敏感性.

    研究的目的:

    • 引入扩散相似性网络 (DSN) 来绘制灰色物质结构组织的地图.
    • 评估DSN的性能与以前的方法相比,以及它们与其他神经生物学数据的相关性.

    主要方法:

    • 使用来自扩散磁共振成像 (dMRI) 的旋转不变的球体波特征.
    • 开发DSN来分析人类大脑中的灰质结构组织.

    主要成果:

    • 与以前的方法相比,DSN表现出优越的层状,细胞架构和微型架构组织.
    • 在健康的成年人中,DSN对年龄,认知和性别的敏感性更高,遗传性更大.
    • DSN梯度与皮质轴对齐,与功能,结构和基因表达连接体相关.

    结论:

    • DSN提供了一种敏感而详细的方法来绘制大脑结构组织的地图.
    • DSN提供了白质连接的补充信息,可以集成到标准的dMRI分析中.

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  • DSN具有调查神经和精神疾病的潜力.