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Brain connectivity measures: computation and comparison

机译:大脑连接性度量:计算和比较

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In this article computation and comparison of causality measures which are used in determination of brain connectivity patterns is investigated. Main analyzed examples included published computation and comparisons of Directed Transfer Function ‐ DTF and Partial Directed Coherence ‐ PDC. It proved that serious methodology mistakes were involved in measure computations and comparisons. It is shown that the neighborhood of zero is of accented importance in such evaluations and that the issues of semantic stability have to be treated with more attention. Published results on the relationship of these two important measures are partly unstable with small changes of zero threshold and pictures of involved brain structures deduced from the cited articles have to be corrected. Analysis of the operators involved in evaluation and comparisons is given with suggestions for their improvement and complementary additional actions.
机译:在本文中,对用于确定大脑连通性模式的因果度量进行了计算和比较。分析的主要示例包括已发布的计算结果以及定向传递函数-DTF和部分定向相干性-PDC的比较。事实证明,在度量计算和比较中涉及严重的方法错误。结果表明,零邻域在这种评估中具有重要意义,并且语义稳定性问题必须得到更多关注。关于这两个重要措施之间关系的已发表结果由于零阈值的细微变化而部分不稳定,因此必须纠正从引用的文章中推断出的所涉及脑结构的图片。对参与评估和比较的运营商进行分析,并提出改进建议和补充措施。

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