Correlation between abnormal brain network activity and electroencephalogram microstates on exposure to smoking-related cues.

Background: Research into neural mechanisms underlying cue-induced cigarette craving has attracted considerable attention for its significant role in treatments. However, there is little understanding about the effects of exposure to smoking-related cues on electroencephalogram (EEG) microstates of smokers, which can reflect abnormal brain network activity in several psychiatric disorders.

Aims: To explore whether abnormal brain network activity in smokers on exposure to smoking-related cues would be captured by EEG microstates.

A Novel Cognition-Guided Neurofeedback BCI Dataset on Nicotine Addiction.

Compared with the traditional neurofeedback paradigm, the cognition-guided neurofeedback brain-computer interface (BCI) is a novel paradigm with significant effect on nicotine addiction. However, the cognition-guided neurofeedback BCI dataset is extremely lacking at present. This paper provides a BCI dataset based on a novel cognition-guided neurofeedback on nicotine addiction.