Exploring the Utility of Machine Learning Augmented Functional Connectomics Approach in Brain Tumors: A Prospective Cohort Study

sMRI and tb-fMRI are commonly used in neuro-oncological surgery today. Although rs-fMRI and DTI are arguably more efficient, no modality provides all data required for optimized presurgical planning. We evaluate a multimodal connectomics approach augmented by machine learning to minimize risk of resecting functional networks and improve patient outcomes post-operation.