On the interpretation of synchronization in EEG hyperscanning studies: a cautionary note.
On the interpretation of synchronization in EEG hyperscanning studies: a cautionary note.
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DOI：
10.3389/fnhum.2013.00881
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发表时间：
2013
影响因子：
2.9
通讯作者：
Burgess AP
中科院分区：
文献类型：
--
作者：
Burgess AP
脑电图超扫描是一种同时研究两个或多个个体的方法，目的是阐明他们的神经活动的共变（即超连接）如何受到他们的行为和社会互动的影响。本研究的目的是比较不同的超连接测量方法的性能，使用(i)模拟数据，其中耦合程度可以被系统地操纵，以及（ii）单独记录的人类脑电图组合成伪对参与者，其中不存在超连接。通过模拟数据，我们发现每一种最广泛使用的超连接度量都是有偏差的，并且在不存在超连接的情况下检测到超连接。通过对人类数据的伪配对，我们发现了虚假的超连接，因为在相同的实验条件下，不同人独立记录的脑电图之间存在真正的相似性。具体来说，在不同的实验条件下，脑电图的节律性存在系统性差异，而这些差异在参与者中是共同的。由于在刺激呈现或运动方面的任何实验条件之间的不平衡都可能影响脑电图的节律性，因此该问题可能适用于许多超扫描环境。此外，由于这些虚假的超连接反映了脑电图之间的真实相似性，它们不是可以通过适当的统计控制来克服的1型错误。然而，一些以前未在超连接研究中使用的测量方法，特别是循环相关系数（CCorr），不太容易检测到这种类型的虚假超连接。讨论了这种性能优势的原因，并提倡使用CCorr作为超连接的替代度量。
EEG Hyperscanning is a method for studying two or more individuals simultaneously with the objective of elucidating how co-variations in their neural activity (i.e., hyperconnectivity) are influenced by their behavioral and social interactions. The aim of this study was to compare the performance of different hyper-connectivity measures using (i) simulated data, where the degree of coupling could be systematically manipulated, and (ii) individually recorded human EEG combined into pseudo-pairs of participants where no hyper-connections could exist. With simulated data we found that each of the most widely used measures of hyperconnectivity were biased and detected hyper-connections where none existed. With pseudo-pairs of human data we found spurious hyper-connections that arose because there were genuine similarities between the EEG recorded from different people independently but under the same experimental conditions. Specifically, there were systematic differences between experimental conditions in terms of the rhythmicity of the EEG that were common across participants. As any imbalance between experimental conditions in terms of stimulus presentation or movement may affect the rhythmicity of the EEG, this problem could apply in many hyperscanning contexts. Furthermore, as these spurious hyper-connections reflected real similarities between the EEGs, they were not Type-1 errors that could be overcome by some appropriate statistical control. However, some measures that have not previously been used in hyperconnectivity studies, notably the circular correlation co-efficient (CCorr), were less susceptible to detecting spurious hyper-connections of this type. The reason for this advantage in performance is discussed and the use of the CCorr as an alternative measure of hyperconnectivity is advocated.
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