Detrimental effects of air pollutants on cognitive function are gaining considerable concern. The present study compared high-risk and low-risk group, defined based on the level of exposure to air pollutants, using graph theory-based approach and sliding window correlation analysis. Despite the undifferentiated cognitive functions between the groups, our study demonstrated the changes of the large-scale functional networks and dynamic brain activity of the high-risk group. Thus, our findings provide strong evidence of the influence of chronic high-dose exposure to air pollutants on the neural correlates, and offer new ways to understand the functional neural networks and dynamics.
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