The Effect of Common Signals on Power, Coherence and Granger Causality: Theoretical Review, Simulations, and Empirical Analysis of Fruit Fly LFPs Data.
The Effect of Common Signals on Power, Coherence and Granger Causality: Theoretical Review, Simulations, and Empirical Analysis of Fruit Fly LFPs Data.
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共同信号对功率，连贯性和Granger因果关系的影响：果蝇LFPS数据的理论综述，模拟和经验分析。
DOI：
10.3389/fnsys.2018.00030
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发表时间：
2018
影响因子：
3
通讯作者：
Tsuchiya N
中科院分区：
文献类型：
--
作者：
Cohen D;Tsuchiya N
在分析神经数据时，重要的是要考虑特定实验设置的局限性。电生理学领域的一个持久问题是共同信号的存在。例如，非静音参考电极在所有记录的数据中添加公共信号，这会对功能和有效的连接分析产生不利影响。为了解决常见的信号问题，已经提出了许多方法，但进行的详细研究相对较少。因此，我们对常见信号如何影响神经连接估计的理解是不完整的。例如，人们对线性阵列记录中使用的涉及高空间分辨率电极的记录准备工作知之甚少。我们通过结合理论回顾、模拟和对果蝇大脑记录的局部场电位的实证分析来解决这一差距。我们演示了一个基于格兰杰因果关系联合分析功效、一致性和数量的框架如何揭示共同信号的存在。我们进一步表明，减去空间相邻信号（双极导数）在很大程度上消除了公共信号的影响。然而，在某些特殊情况下，该操作本身会引入公共信号。我们还表明，格兰杰因果关系受到共同信号的不利影响，并且在存在共同信号的情况下，被称为“瞬时相互作用”的数量会增加。我们提出的理论回顾、模拟和实证分析可以很容易地被其他人采用，以研究其数据中常见信号的性质。我们的贡献提高了我们对常见信号如何影响功率、一致性和格兰杰因果关系的理解，并将有助于减少对功能和有效连接分析的误解。
When analyzing neural data it is important to consider the limitations of the particular experimental setup. An enduring issue in the context of electrophysiology is the presence of common signals. For example a non-silent reference electrode adds a common signal across all recorded data and this adversely affects functional and effective connectivity analysis. To address the common signals problem, a number of methods have been proposed, but relatively few detailed investigations have been carried out. As a result, our understanding of how common signals affect neural connectivity estimation is incomplete. For example, little is known about recording preparations involving high spatial-resolution electrodes, used in linear array recordings. We address this gap through a combination of theoretical review, simulations, and empirical analysis of local field potentials recorded from the brains of fruit flies. We demonstrate how a framework that jointly analyzes power, coherence, and quantities based on Granger causality reveals the presence of common signals. We further show that subtracting spatially adjacent signals (bipolar derivations) largely removes the effects of the common signals. However, in some special cases this operation itself introduces a common signal. We also show that Granger causality is adversely affected by common signals and that a quantity referred to as “instantaneous interaction” is increased in the presence of common signals. The theoretical review, simulation, and empirical analysis we present can readily be adapted by others to investigate the nature of the common signals in their data. Our contributions improve our understanding of how common signals affect power, coherence, and Granger causality and will help reduce the misinterpretation of functional and effective connectivity analysis.
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影响因子：
16.2
作者：
Bosman CA;Schoffelen JM;Brunet N;Oostenveld R;Bastos AM;Womelsdorf T;Rubehn B;Stieglitz T;De Weerd P;Fries P
通讯作者：
Fries P
DOI：
10.1073/pnas.0308538101
发表时间：
2004-06-29
影响因子：
11.1
作者：
Brovelli, A;Ding, MZ;Bressler, SL
通讯作者：
Bressler, SL
影响因子：
3
作者：
Bastos AM;Schoffelen JM
通讯作者：
Schoffelen JM
影响因子：
3.7
作者：
Barrett AB;Murphy M;Bruno MA;Noirhomme Q;Boly M;Laureys S;Seth AK
通讯作者：
Seth AK
影响因子：
5.7
作者：
Colclough GL;Brookes MJ;Smith SM;Woolrich MW
通讯作者：
Woolrich MW