文献类型：期刊文献

英文题名：Estimating causal interaction between prefrontal cortex and striatum by transfer entropy

作者：Ma, Chaofei[1];Pan, Xiaochuan[2];Wang, Rubin[2];Sakagami, Masamichi[3]

机构：[1]E China Univ Sci & Technol, Sch Informat Sci & Engn, Inst Cognit Neurodynam, Shanghai 200237, Peoples R China;[2]E China Univ Sci & Technol, Sch Sci, Inst Cognit Neurodynam, Shanghai 200237, Peoples R China;[3]Tamagawa Univ, Brain Sci Inst, Tokyo, Japan

年份：2013

卷号：7

期号：3

起止页码：253

外文期刊名：COGNITIVE NEURODYNAMICS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000319008800006)】；

基金：This work was supported by National Foundation of Natural Science of China (No. 11232005) and the Fundamental Research Funds for the Central Universities of China.

语种：英文

外文关键词：Causal interaction; Transfer entropy; Mutual information; Local field potential

摘要：Transfer entropy (TE) is an information-theoretic measure for the investigation of causal interaction between two systems without a requirement of pre-specific interaction model (such as: linear or nonlinear). We introduced an efficient algorithm to calculate TE values between two systems based on observed time signals. By this method, we demonstrated that the TE correctly estimated the coupling strength and the direction of information transmission of two nonlinearly coupled systems. We also calculated TE values of real local field potentials (LFPs) recorded simultaneously in the lateral prefrontal cortex (LPFC) and the striatum of the behavioral monkey, and observed that the TE value from the LPFC to the striatum was stronger than that from the striatum to the LPFC, consistent with anatomical structure between the two areas. Moreover, the TE value dynamically varied dependent on behavior stages of the monkey. These results from simulated and real LFPs data suggested that the TE was able to effectively estimate functional connectivity between different brain regions and characterized their dynamical properties.