Institute of Safety Management & Risk Control, Institute of Safety & Emergency Management, School of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
School of Management, Xi'an University of Science and Technology, Xi'an 710054, China.
Int J Environ Res Public Health. 2022 Jan 3;19(1):509. doi: 10.3390/ijerph19010509.
(1) Background: As a world-recognized high-risk occupation, coal mine workers need various cognitive functions to process the surrounding information to cope with a large number of perceived hazards or risks. Therefore, it is necessary to explore the connection between coal mine workers' neural activity and unsafe behavior from the perspective of cognitive neuroscience. This study explored the functional brain connectivity of coal mine workers who have engaged in unsafe behaviors (EUB) and those who have not (NUB). (2) Methods: Based on functional near-infrared spectroscopy (fNIRS), a total of 106 workers from the Hongliulin coal mine of Shaanxi North Mining Group, one of the largest modern coal mines in China, completed the test. Pearson's Correlation Coefficient () analysis, brain network analysis, and two-sample -test were used to investigate the difference in brain functional connectivity between the two groups. (3) Results: The results showed that there were significant differences in functional brain connectivity between EUB and NUB among the frontopolar area ( = 0.002325), orbitofrontal area ( = 0.02102), and pars triangularis Broca's area ( = 0.02888). Small-world properties existed in the brain networks of both groups, and the dorsolateral prefrontal cortex had significant differences in clustering coefficient ( = 0.0004), nodal efficiency ( = 0.0384), and nodal local efficiency ( = 0.0004). (4) Conclusions: This study is the first application of fNIRS to the field of coal mine safety. The fNIRS brain functional connectivity analysis is a feasible method to investigate the neuropsychological mechanism of unsafe behavior in coal mine workers in the view of brain science.
（1）背景：作为世界公认的高危职业，煤矿工人需要各种认知功能来处理周围的信息，以应对大量感知到的危险或风险。因此，有必要从认知神经科学的角度探讨煤矿工人的神经活动与不安全行为之间的联系。本研究探讨了从事不安全行为（EUB）和未从事不安全行为（NUB）的煤矿工人的大脑功能连接。
（2）方法：基于功能近红外光谱（fNIRS），在中国最大的现代化煤矿之一的陕西北元矿业集团红柳林煤矿，共有 106 名工人完成了测试。采用 Pearson 相关系数（）分析、脑网络分析和两样本 t 检验，探讨两组之间大脑功能连接的差异。
（3）结果：结果表明，EUB 和 NUB 之间在额极区（=0.002325）、眶额区（=0.02102）和三角部 Broca 区（=0.02888）的功能脑连接存在显著差异。两组大脑网络均存在小世界属性，背外侧前额叶皮质的聚类系数（=0.0004）、节点效率（=0.0384）和节点局部效率（=0.0004）存在显著差异。
（4）结论：这是 fNIRS 在煤矿安全领域的首次应用。fNIRS 脑功能连接分析是从脑科学角度研究煤矿工人不安全行为的神经心理机制的一种可行方法。
