大脑连接测量-直接传递函数-优点和缺点

Zoran Djordjevic, A. Jovanovic, A. Perović
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引用次数: 3

摘要

在本文中,我们简要地研究了定向传递函数(DTF),这是一种用于确定大脑连接模式的因果关系度量,表征特定的大脑状态/活动。20年前由Kaminski和Blinowska提出的格兰杰因果关系测度是对大脑活动复杂性的适当测度,纠正了原来格兰杰因果关系测度的无能和本质缺陷。这种对大脑连通性的测量在许多研究团队应用的非常令人兴奋的大脑活动建模中得到了广泛的应用。本文分析了DTF的一些优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brain connectivity measure — the direct transfer function — advantages and weak points
In this article we briefly investigate the Directed Transfer Function, the DTF, a causality measure used in determination of brain connectivity patterns, characterizing specific brain states/activities. Introduced by Kaminski and Blinowska two decades ago, it was claimed that this measure is the proper measure for complexity involved in brain activity, correcting incapacity and essential weakness of original Granger causality measures. This measure of brain connectivity reached broad application in very exciting brain activity modeling applied numerously by many research teams. Some of DTF advantages and weak points are analyzed in this article.
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