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The paired t-test results showed that the prior cognitive level and transfer distance significantly impact FC.

Concretely, we discussed the prior cognitive level, knowledge transfer distance, and transfer performance impacting the wavelet amplitude and wavelet phase coherence. The neural activation of the prefrontal cortex was continuously recorded for 31 participants using functional near-infrared spectroscopy (fNIRS). In this study, we adopted the modified Wisconsin Card-Sorting Test (M-WCST) reported in the literature. Thus, this study proposed functional connectivity (FC) to describe and evaluate the dynamic brain network of knowledge transfer while engineering problem-solving. However, the neurophysiological mechanisms of knowledge transfer are rarely considered in existing studies. It is crucial to explain how the alteration of the functional brain network occurs and how to express it, which causes the alteration of the cognitive structure of knowledge transfer.

5School of Software, Shandong University, Jinan, ChinaĪs a complex cognitive activity, knowledge transfer is mostly correlated to cognitive processes such as working memory, behavior control, and decision-making in the human brain while engineering problem-solving.

4Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China.

3School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore.

2College of Mechanical Engineering, Donghua University, Shanghai, China.

1Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China.

Fuhua Wang 1, Zuhua Jiang 1 *, Xinyu Li 2,3, Lingguo Bu 4,5 and Yongjun Ji 1