Abstract #0804

Multiple Brain Age Metrics Reveal Premature Brain Aging Network and Association with Clinical Factors in Schizophrenia

Chang-Le Chen¹, Li-Ying Yang¹, Yu-Hung Tung², Yung-Chin Hsu³, Chih‐Min Liu⁴, Tzung‐Jeng Hwang⁴, Hai‐Gwo Hwu⁴, and Wen-Yih Isaac Tseng^1,5

¹Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan, ²Department of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan, ³AcroViz Technology Inc., Taipei, Taiwan, ⁴Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan, ⁵Molecular Imaging Center, National Taiwan University, Taipei, Taiwan

It is unclear how brain regions contribute to the premature aging in schizophrenia and whether different brain age metrics would reveal distinct clinical relevance. Therefore, we developed multiple bias-free brain age metrics based on volumetric and microstructural information to quantify the brain aging of patients with schizophrenia. The results showed that the cortical areas and fiber tracts located in the prefrontal, temporal, and limbic regions manifested dominantly to the premature brain aging compared to the other areas. Also, white matter brain age showed the significant correlation with age of onset, medication dose, and negative symptom, manifesting better clinical sensitivity.

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