Computational Neuroscience

Decoding Metaphors and Brain Signals in Naturalistic Contexts: An Empirical Study based on EEG and MetaPro

Metaphors are psycholinguistic phenomena that reveal human cognition, yet their neural basis in naturalistic contexts remains underexplored. This study combines electroencephalography (EEG) with MetaPro, a computational metaphor processing tool, to …

Resting-State Electroencephalographic Signatures Predict Treatment Efficacy of tACS for Refractory Auditory Hallucinations in Schizophrenic Patients

This study investigates whether resting-state EEG signatures can predict the treatment efficacy of transcranial alternating current stimulation (tACS) for refractory auditory hallucinations in schizophrenia. Resting-state EEG data from patients were …

EEG and Computational Metaphor Processing

This project combines EEG signals and MetaPro-based metaphor processing to study metaphor comprehension in naturalistic language contexts.

Explainable Affective Brain-Computer Interfaces

This project develops interpretable EEG fusion models that integrate multi-frequency and multi-region brain connectivity patterns for affective brain-computer interfaces.

Resting-State EEG Biomarkers for Neuromodulation Response

This project investigates resting-state EEG signatures that can predict tACS treatment response for refractory auditory hallucinations in schizophrenia.

Resting state fNIRS study in patients with depression and schizophrenia

In this project, we used the fNIRS method to collect the resting state data of MDD, SCZ, and HC for the PFC region.