Abstract #2069

Neuroimaging biomarkers for predicting treatment response in schizophrenia based on alteration patterns of the whole brain white matter tracts

Jing-Ying Huang¹, Yu-Jen Chen¹, Chih-Min Liu², Tzung-Jeng Hwang^2,3, Yun-Chin Hsu¹, Yu-Chun Lo¹, Hai-Gwo Hwu^2,3, and Wen-Yih Isaac Tseng^1,3,4,5,6

¹Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan, ²Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan, ³Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan, ⁴Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, ⁵Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan, ⁶Molecular Imaging Center, National Taiwan University, Taipei, Taiwan

This study aims to identify image biomarkers for schizophrenia patients in order to predict treatment responses on individual subject basis. We develop algorithm that can discriminate remission or non-remission in patients with schizophrenia based on the difference in microstructural integrity of the white matter tracts. The ROC analysis shows that the accuracy of the prediction is 76%.

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