PI-FC: Pre-training Individual-specific Functional Connectome through State-invariant Contrastive Learning
Yingjie Peng, Xiaohan Tian, Yini He, Shangzheng Huang, Tongyu Zhang, Junxing Xian, Tian Gao, Qi Wang, Changsheng Dong, Xiya Liu, Kaixin Li, Yao Ge, Xianchang Zhang, Lei G. Wang, Yiheng Tu, , Ang Li
PI-FC uses state-invariant contrastive learning to extract stable individual brain signatures from fMRI, improving phenotypic prediction accuracy and reducing scanning time across multiple datasets.
bioRxiv · Sep 21, 2025 · PreprintNeuroscience