相关实验视频

Updated: May 12, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
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功能性大脑连接的多尺度模式

S Rezvan Farahibozorg1, Samuel J Harrison1, Janine D Bijsterbosch2

  • 1FMRIB, Oxford Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neuroscience, Oxford University, Oxford, United Kingdom.

Imaging neuroscience (Cambridge, Mass.)
|December 15, 2025
PubMed
概括

我们介绍了多尺度概率函数模式 (mPFMs),这是一种新的大脑绘图技术. mPFM能够更好地估计多个尺度的功能性大脑连接,从而从fMRI数据中更好地预测个性化的特征.

关键词:
这是一个很好的香水.大数据就是大数据.个体特定的建模.多尺度模式多尺度模式静止状态的fMRI进行.预测特征 预测特征

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