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Abstract #4597

Chronic exposure to air pollutants alters the functional network and spatiotemporal dynamics of the resting brain: Graph theory and dynamic functional connectivity analysis.

Suhnyoung Jun1,2, Sanghoon Han1,2,3, Chang Soo Kim2,4, and Seung-Koo Lee2,5

1Psychology, Yonsei University, Seoul, Korea, Republic of, 2Integrative Neurocognitive Functional Imaging Center, Yonsei University, Seoul, Korea, Republic of, 3Cognitive Science Interdisciplinary Program, Yonsei University, Seoul, Korea, Republic of, 4Department of Preventive Medicine, Yonsei University, Seoul, Korea, Republic of, 5Radiology, Yonsei University, Seoul, Korea, Republic of

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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