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 …
This project investigates resting-state EEG signatures that can predict tACS treatment response for refractory auditory hallucinations in schizophrenia.
This project constructs a multiscale spatio-temporal network for emotion recognition based on full-body motion.
We propose a novel machine speech chain model for depression recognition (MSCDR).
In this project, we propose a novel gait assessment framework to implement non-intrusive, real-time and automatic depression detection using Kinect.
In this project, we used the fNIRS method to collect the resting state data of MDD, SCZ, and HC for the PFC region.