SHAP-based Feature Importance Aggregation Across MRI Modalities

We propose a principled framework for aggregating SHAP-based feature importance scores across rsfMRI, dMRI, and sMRI modalities for group classification. Our method addresses selection bias, double-counting, and uncertainty quantification in multimodal neuroimaging studies.