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相关概念视频

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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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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在4D空间动态fMRI网络中描述"本地"功能网络连接.

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    概括
    此摘要是机器生成的。

    这项研究引入了一种新方法,用于使用静止状态fMRI在动态大脑网络中分析功能网络连接 (FNC). 这种新的方法揭示了随着voxel子集的调整,当地的FNC模式的变化.

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    科学领域:

    • 神经成像是一种神经成像.
    • 认知神经科学 认知神经科学
    • 大脑网络分析 脑网络分析

    背景情况:

    • 功能磁共振成像 (fMRI) 对于通过功能网络连接 (FNC) 绘制大脑活动至关重要.
    • 当前的研究往往忽略了空间大脑网络中的时间变化动态,专注于预定义节点之间的静态或动态FNC.
    • 现有的voxel级动态网络方法并不探索这些动态空间网络之间的FNC.

    研究的目的:

    • 提出和验证一种新的方法来评估空间动态大脑网络中的FNC,使用静态fMRI (rsfMRI).
    • 为了能够在本地化的voxel子集中计算网络特定的FNC.
    • 在不同的voxel子集中调查本地FNC动态.

    主要方法:

    • 开发一种基于voxel的新型FNC方法来分析rsfMRI数据.
    • 该方法应用于青少年大脑和认知发展 (ABCD) 研究的100名参与者的基线数据集.
    • 在局部化voxel子集中计算网络特定的FNC,包括静态FNC (sFNC),全球voxelFNC (GvFNC) 和本地voxelFNC (LvFNC).

    主要成果:

    • 基于voxel的FNC方法成功地复制了传统的静态FNC发现,在sFNC和GvFNC矩阵中显示了显著的模块化.
    • 这种新的方法证明了在不同的voxel子集中调查局部FNC的能力.
    • 在平均局部voxel FNC (LvFNC) 中,随着voxel包含率的下降,观察到抗相关性减少.

    结论:

    • 拟议的方法为在空间动态大脑网络中检查FNC提供了一种新的方法.
    • 这种技术允许对不同voxel分辨率的本地FNC进行详细分析.
    • 根据分析规模,研究结果表明网络反相关性发生动态变化.