Multi-modal Neuroimaging Integration via Cross-domain and Cross-modal Self-supervised Pre-training

The proposed Multi-modal Cross-domain Self-supervised Pre-training Model (MCSP) leverages self-supervised learning to synergize multi-modal information across spatial, temporal, and spectral domains, enabling effective fusion of fMRI and EEG data for improved analysis of brain disorders.