Andrea Santoro

This paper uses higher-order topology to analyze brain activity during naturalistic emotion tasks, finding that it captures fine-grained affective structure while pairwise connectivity captures broad arousal.

This paper analyzes sperm whale foraging behavior using acoustic and movement data to show two distinct prey-capture tactics within persistent search patterns.

The paper evaluates higher-order interaction metrics in brain connectivity using fMRI data, finding topological metrics link brain function to behavior better than pairwise models.

This study tracks how brain connectivity patterns change after stroke, showing early stabilization of functional fingerprints and long-term circuit remodeling that predicts recovery outcomes.

This paper introduces a framework for constructing EEG-based brain graphs with small-world and scale-free properties, improving motor imagery decoding and brain fingerprinting performance.

This paper demonstrates that functional connectivity patterns in the human cervical spinal cord exhibit individual-specific properties, suggesting the existence of a spinal cord 'fingerprint' similar to brain fingerprints.

This paper introduces a topological fingerprinting method using homological scaffolds from resting-state fMRI data, achieving near-perfect individual identification accuracy.

This study compares higher-order and pairwise interaction models for fMRI data, showing that higher-order methods better decode tasks, identify individuals, and link brain activity to behavior.