Yuhao Huang

The paper uses intracranial recordings to show that nociception and salience have distinct neural representations in the human brain, with different anatomical, temporal, and functional characteristics.

The paper identifies distinct neural mechanisms for encoding rapid facial expressions and sustained mood states using multimodal data from epilepsy patients.

The paper decodes naturalistic acute pain states using neural and facial dynamics in epilepsy patients, identifying reliable neurobehavioral markers.

The paper shows scalp EEG can predict intracranial brain activity in humans, with accuracy varying by region, depth, and frequency.

This study investigates how theta-burst stimulation affects neural activity in human brain networks using intracranial EEG during direct electrical stimulation.

This study shows that 10Hz brain stimulation induces predictable changes in neural oscillations, with low frequencies showing broad effects and high frequencies showing stronger magnitude changes, linked to baseline activity patterns.

This study shows that measuring neural activity during repetitive electrical stimulation can predict post-stimulation changes in brain network connectivity.