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 Tseng^1,3

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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