Yang Xia

This study uses a large-scale brain model to simulate and analyze the dynamic mechanisms of steady-state visual evoked potentials (SSVEPs) at the whole-brain level, revealing frequency-specific responses and network properties.

This paper introduces a novel method to analyze dynamic configurations of the default mode network (DMN) in rats during wakefulness and sleep, revealing three distinct micropatterns and their association with different alertness levels.