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Abstract #4592

Analysis of the network properties of structural brain network of elderly people with obstructive sleep apnea

Min-Hee Lee1, Areum Min1, Yoon Ho Hwang1, Dong Youn Kim1, Bong Soo Han2, Seung Ku Lee3, Chang-Ho Yun4, and Chol Shin3

1Department of Biomedical Engineering, Yonsei University, Wonju, Korea, Republic of, 2Department of Radiological Science, Yonsei University, Wonju, Korea, Republic of, 3Institute of Human Genomic Study, College of Medicine, Korea University Ansan Hospital, Ansan, Korea, Republic of, 4Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea, Republic of

Obstructive sleep apnea (OSA) is a common and progressive condition that is accompanied by affective, cognitive and autonomic nervous system changes. Recent studies have demonstrated abnormalities in the brains of OSA subjects. However, no study has illustrated alterations in brain structural connectivity caused by OSA. To assess alterations of brain structural connectivity, we constructed a structural brain network from diffusion tensor imaging (DTI) and examined global network properties for control and OSA subjects. OSA subjects showed lower global efficiency, local efficiency and strength. Brain network analysis may improve understanding of global architecture of anatomical connection patterns in OSA.

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