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Abstract #3778

Assessment of white matter de-differentiation in mild cognitive impairment using tract covariance matrix derived from diffusion spectrum imaging

Tao-Han Hung1, Yung-Chin Hsu1, Yu-Ling Chang2, and Isaac Wen-Yih Tseng1,3

1Institute of Medical Device and Imaging, National Taiwan University, Taipei, Taiwan, 2Department of Psychology, National Taiwan University, Taipei, Taiwan, 3Molecular Imaging Center, National Taiwan University, Taipei, Taiwan

In this study, we compared the degree of white matter de-differentiation between the patients with mild cognitive impairment (MCI) and normal-aging population using diffusion spectrum imaging (DSI) and whole brain tract-based automatic analysis (TBAA). The degree of de-differentiation, defined as the global level of generalized fractional anisotropy (GFA) covariance between each white matter tract, was found to be significantly higher in the MCI group, as revealed by two-sample T test of partial correlation matrices of the two subject groups. Further analysis showed that covariance was higher among projection tracts.

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