Zhenhong Hu

The paper uses deep learning methods to identify brain regions associated with trigeminal neuralgia pain from fMRI data.

The paper uses EEG-fMRI data to decode the temporal dynamics of affective scene processing, finding distinct neural activity patterns for pleasant and unpleasant images.

This study examines how theta tACS affects verbal working memory, finding load- and subject-dependent improvements in performance and frontoparietal theta synchrony.

This study uses EEG and fMRI with machine learning to show that affective pictures evoke valence-specific neural representations in retinotopic visual cortex, influenced by limbic and frontal connectivity.