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离散动态因果建模及其与有向信息的关系

Discrete Dynamic Causal Modeling and Its Relationship with Directed Information

Zhe Wang, Yu Zheng, David C. Zhu, Jian Ren, Tongtong Li

摘要:

本文探讨了离散动态因果模型(DDCM)及其与有向信息(DI)的关系。我们证明了DDCM和DI在表征两个脑区之间的因果关系方面的条件等价性。理论结果表明,使用fMRI数据下得到的静息状态和刺激为基础的状态。我们的数值分析与之前研究中报道的结果一致。

英文摘要:

This paper explores the discrete Dynamic Causal Modeling (DDCM) and its relationship with Directed Information (DI). We prove the conditional equivalence between DDCM and DI in characterizing the causal relationship between two brain regions. The theoretical results are demonstrated using fMRI data obtained under both resting state and stimulus based state. Our numerical analysis is consistent with that reported in previous study.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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