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Modeling the neurodynamic organizations and interactions of teams

机译：模拟团队的神经动力组织和互动

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摘要

Across-brain neurodynamic organizations arise when teams perform coordinated tasks. We describe a symbolic electroencephalographic (EEG) approach that identifies when team neurodynamic organizations occur and demonstrate its utility with scientific problem solving and submarine navigation tasks. Each second, neurodynamic symbols (NS) were created showing the 1-40Hz EEG power spectral densities for each team member. These data streams contained a performance history of the team's across-brain neurodynamic organizations. The degree of neurodynamic organization was calculated each second from a moving window average of the Shannon entropy over the task. Decreased NS entropy (i.e., greater neurodynamic organization) was prominent in the ~16Hz EEG bins during problem solving, while during submarine navigation, the maximum NS entropy decreases were ~10Hz and were associated with establishing the ship's location. Decreased NS entropy also occurred in the 20-40Hz bins of both teams and was associated with uncertainty or stress. The highest mutual information levels, calculated from the EEG values of team dyads, were associated with decreased NS entropy, suggesting a link between these two measures. These studies show entropy and mutual information mapping of symbolic EEG data streams from teams can be useful for identifying organized across-brain team activation patterns.
机译：当团队执行协调的任务时，就会出现跨大脑的神经动力学组织。我们描述了一种象征性的脑电图（EEG）方法，该方法可识别何时出现团队神经动力组织，并通过科学的问题解决和潜艇导航任务展示其效用。每秒创建一个神经动力学符号（NS），显示每个团队成员的1-40Hz EEG功率谱密度。这些数据流包含团队跨大脑神经动力学组织的绩效历史。每秒从任务上的Shannon熵的移动窗口平均值计算出神经动力学组织的程度。在解决问题期间，NS熵的降低（即，更大的神经动力组织）在〜16Hz EEG箱中突出，而在潜艇航行期间，最大NS熵降低为〜10Hz，并与确定船的位置有关。两组的20-40Hz区间中也出现了NS熵降低的现象，并与不确定性或压力相关。从团队二分体的EEG值计算得出的最高相互信息水平与NS熵的降低有关，表明这两种方法之间存在联系。这些研究表明，来自团队的符号EEG数据流的熵和相互信息映射对于识别组织的跨大脑团队激活模式很有用。

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