Wei Wu

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 paper introduces a wearable BCI system using AI to mitigate car sickness through attention shifting, showing over 83% effectiveness in reducing symptoms.

The paper maps stimulus-response patterns in the human cortex using TMS-EEG and relates them to whole-brain neuroimaging measures from a single densely-sampled individual.