用非线性格兰杰因果关系分析数学天才大脑的有效连通性

Xiang Jiang, Haixian Wang
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引用次数: 1

摘要

作为自然科学的基石,数学以系统和渐进的方式影响和改变着我们这个以技术为导向的世界。培养和发展数学天才儿童/青少年的重要性已得到广泛认可。线性格兰杰因果关系的谱测度在神经科学、生物学和经济学等领域广泛应用于研究时间序列数据之间的因果关系。传统的格兰杰因果度量是基于时间序列数据的外生输入线性自回归模型,不能真正揭示数据特别是频域的非线性效应。本文采用基于核方法的非线性格兰杰因果关系,研究了数学额顶叶网络系统在演绎推理任务中额、后脑区之间的有效连通性。结果发现,数学天才组的额顶叶区在θ-波段表现出较强的工作记忆信息加工,数学天才组在中前脑区和后顶叶区表现出较对照组更显著的增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysing Effective Connectivity of the Math-gifted Brain with Nonlinear Granger Causality
As the cornerstone of natural sciences, mathematics influences and changes our technology oriented world in systematic and progressive ways. The importance of fostering and developing mathematically gifted children/adolescents has been acknowledged widely. Spectral measures of linear Granger causality have been widely applied to study the causal connectivity between time series data in neuroscience, biology, and economics. Traditional Granger causality measures are based on linear autoregressive with exogenous inputs models of time series data, which cannot truly reveal nonlinear effects in the data especially in the frequency domain. In this paper, we used nonlinear Granger causality based on kernel methods to study the effective connectivity between the frontal brain area and the posterior brain area in the mathematical frontoparietal network system during deductive reasoning tasks. It was founded that the frontoparietal regions of the math-gifted show stronger working memory information processing at the θ-band and math-gifted group show more significant increase in the mid-front brain area and the posterior parietal area compared with control group.
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