Xiwei Shé

The paper identifies specific brain connectivity patterns in children with SeLECTS that predict language ability and distinguish epilepsy-related language dysfunction from normal variation.

The paper finds that children with SeLECTS show elevated motor-language connectivity during language tasks, which predicts worse phonological awareness.

This study shows that functional connectivity in children with SeLECTS increases with epilepsy duration and interictal spike exposure, suggesting spikes drive neural network changes.

This study demonstrates the feasibility of timing transcranial magnetic stimulation (TMS) to interictal epileptiform discharges (IEDs) in children with SeLECTS using a CNN-based EEG pipeline.