1337-Predictive Corticospinal Model for Pain Perception

Paper Talk · Jul 26, 2026 · 24m

The research paper introduces the Corticospinal Pain Intensity Pattern (CsPIP), a novel neuroimaging biomarker that integrates activity from both the brain and spinal cord to decode human pain. Developed using advanced machine learning on simultaneous fMRI data, this model significantly outperforms traditional brain-centric signatures by capturing the bidirectional communication across the entire neuroaxis. The studies demonstrate that CsPIP effectively predicts pain intensity across various sensory modalities, such as thermal and electrical stimuli, while remaining specific enough to…