Individualized prediction of schizophrenia based on patterns of altered tract integrity over the whole brain using diffusion spectrum imaging
Yu-Jen Chen1, Chih-Ming Liu2, Tzung-Jeng Huang2, Yun-Chin Hsu1, Yu-Chun Lo1, Hai-Gwo Hwu2, and Wen-Yih Isaac Tseng1,3
1National Taiwan University, Institute of Medical Device and Imaging, Taipei, Taiwan, 2National Taiwan University Hospital, Department of Psychiatry, Taipei, Taiwan, 3National Taiwan University, Molecular Imaging Center, Taipei, Taiwan
In
this study, we examined the performance of predicting patients with
schizophrenia based on the patterns of altered tract integrity over the whole
brain. The whole-brain tract information was compared with predefined
differences between schizophrenia patients and healthy participants to
calculate an index of SLI indicating the similarity to schizophrenia. Our
results showed that the prediction performance was high (AUC = 0.86 for males;
AUC = 0.77 for females) when we compared the white matter integrities at
specific segments on fiber pathways.
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