The NERVE framework introduces a novel approach to tokenizing brain functional connectivity matrices, enhancing self-supervised learning by aligning with the brain's modular organization. This method shows improved performance in predicting behavior and psychopathology across diverse cohorts, suggesting a significant advancement in functional connectomics research.