Abstract #1301

Brain Age Prediction Based on Quantitative Susceptibility Mapping

Mingxing Chen¹, Yuting Shi¹, Yuyao Zhang², and Hongjiang Wei¹

¹School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, ²School of Information and Science and Technology, ShanghaiTech University, Shanghai, China

Synopsis

Keywords: Neurodegeneration, Quantitative Susceptibility mapping

The aging process of the human brain is known to be complex, resulting in considerable structural and functional changes in the brain. In this study, a brain age prediction method based on QSM was proposed and then applied to predict the brain age of PD patients. The model achieved a high prediction accuracy with the MAE of 4.40 years and the R² of 0.91 in healthy subjects. The PADs of the PD patients were significantly higher than HC subjects. The results show that brain age prediction based on QSM can provide a new biomarker to explore iron-related brain age changes.

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