ARTFEED — Contemporary Art Intelligence

XAI Reduces NEXI Brain Scan Time on Connectome 2.0 from 27 to 14 Minutes

other · 2026-05-01

Researchers have developed a new protocol for Neurite Exchange Imaging (NEXI) using an Explainable AI (XAI) framework on the advanced Connectome 2.0 ultra-high gradient scanner. By combining XGBoost, SHAP, and Recursive Feature Elimination, they identified an optimal set of 8 features, which cut the scanning time from 27 minutes down to 14. In tests conducted on seven healthy participants, this XAI method reliably reproduced parameter estimates and showed impressive test-retest consistency, outperforming the traditional 15-feature method, a theoretical Cramér-Rao Lower Bound (CRLB), and two other heuristics, the "Mid-Range" and "Corner." This innovative approach addresses the lengthy multi-shell and multi-diffusion-time challenges of NEXI.

Key facts

  • NEXI protocol scan time reduced from 27 to 14 minutes
  • XAI framework used XGBoost, SHAP, and Recursive Feature Elimination
  • Optimal 8-feature subset identified from synthetic signals
  • Validated in vivo in seven healthy participants
  • Benchmarked against full 15-feature acquisition, CRLB, and two heuristics
  • Connectome 2.0 ultra-high gradient scanner employed
  • NEXI estimates compartment diffusivities, neurite fraction, and exchange time
  • Study published on arXiv (2509.09513)

Entities

Institutions

  • arXiv

Sources