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Abstract #5317

Resting state connectivity analysis for normal and abnormal physiology conditions during fMRI data acquisition

Sun Young Chae1,2, Geun Ho Im3,4, Jisu Hong1,5, Moon-Sun Jang3,4, Hyunjin Park1,5, and Jung Hee Lee1,2,4

1Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea, Republic of, 2Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea, Republic of, 3Center for Molecular and Cellular Imaging, Samsung Biomedical Research Institute, Seoul, Korea, Republic of, 4Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, Republic of, 5Department of Electronic, Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea, Republic of

Unlike blood oxygen level dependent (BOLD)-fMRI, accurate physiologic adjustment for subjects during rs-fMRI data acquisition does not seem to be critical for the quality of the final data. In this study, we performed rs-fMRI measurements during normal and abnormal physiological conditions and analyzed betweenness centrality (BC), degree centrality (DC) and eigenvector centrality (EC). In this study, we demonstrate that physiologic conditions seem to have a direct effect on the rs-fMRI result. Thus, the results of our current study suggest that normal physiologic condition should be maintained for rs-fMRI data acquisition.

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