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Updated: Feb 14, 2026

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将任务唤起的动态大脑网络与内在活动区分开来,使用张量元件分析

Guoqiang Hu1,2, Huanjie Li3, Siwen Luo4

  • 1College of Artificial Intelligence, Dalian Maritime University, Dalian, China. guoqiang.hu@dlmu.edu.cn.

Brain imaging and behavior
|February 13, 2026
PubMed
概括

张量元件分析 (TCA) 有效地将任务唤起的大脑网络活动与正在进行的内在大脑网络分开. 这种新方法增强了对大脑功能和行为关系的理解.

关键词:
动态的大脑网络 动态的大脑网络功能性核磁共振成像 (MRI) 是一种功能性核磁共振成像.多变量是多变量的.休息状态 休息状态任务 fMRI 的任务任务唤起的大脑网络.张量组件分析分析的张量组件分析

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