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Updated: May 7, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
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Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

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一个跨特征的相互学习框架,以整合功能连接和大脑障碍分类活动的功能连接.

Min Zhao, Rongtao Xu, Dongmei Zhi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    概括

    本研究介绍了使用功能磁共振成像数据进行大脑疾病分类的跨特征相互学习 (CFML). 通过通过时间课程和功能网络连接进行协作学习,CFML提高了准确性,在精神分裂症检测方面达到85.1%.

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    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms08:36

    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

    Published on: March 21, 2019

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