Research Group for Neuroanatomy & Connectivity, Max Planck Institute for Human Cognitive & Brain Sciences, Leipzig, Germany; Medical Physics Laboratory, Medical School, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece; School of Life and Health Sciences, Aston University, Birmingham, United Kingdom.
Medical Physics Laboratory, Medical School, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Int J Psychophysiol. 2017 Dec;122:24-31. doi: 10.1016/j.ijpsycho.2017.05.003. Epub 2017 May 5.
Following our previous work regarding the involvement of math anxiety (MA) in math-oriented tasks, this study tries to explore the differences in the cerebral networks' topology between self-reported low math-anxious (LMA) and high math-anxious (HMA) individuals, during the anticipation phase prior to a mathematical related experiment. For this reason, multichannel EEG recordings were adopted, while the solution of the inverse problem was applied in a generic head model, in order to obtain the cortical signals. The cortical networks have been computed for each band separately, using the magnitude square coherence metric. The main graph theoretical parameters, showed differences in segregation and integration in almost all EEG bands of the HMAs in comparison to LMAs, indicative of a great influence of the anticipatory anxiety prior to mathematical performance.
继我们之前关于数学焦虑（MA）在数学任务中的作用的研究之后，本研究试图探索在进行数学相关实验之前的预期阶段，自我报告的低数学焦虑（LMA）和高数学焦虑（HMA）个体之间大脑网络拓扑结构的差异。为此，我们采用了多通道 EEG 记录，并在通用头部模型中应用了逆问题的解决方案，以获取皮质信号。使用幅度平方相干度指标分别计算了每个频段的皮质网络。主要的图论参数表明，与 LMA 相比，HMA 在几乎所有 EEG 频段的分离和整合方面存在差异，这表明在进行数学表现之前，预期焦虑对大脑有很大影响。
