Takeaway
A machine learning algorithm (MLA) predicts the likelihood of vagal nerve stimulation (VNS) success based on brain structural connectivity (SC) and functional connectivity (FC) profiles in children with medically intractable epilepsy (MIE).
Why this matters
It is unclear which children with MIE will benefit from VNS.
Preoperative prediction of VNS response could prevent unnecessary resource allocation and surgical risk exposure.