An EEG dataset of information impairment susceptibility during emotional audiovisual viewing

Electroencephalography (EEG) is a non-invasive, millisecond-resolution measure of brain activity widely used in emotion and cognition research. However, public EEG resources rarely pair standardized behavioral screening with neurophysiology, limiting work on individual vulnerability to information-related psychological impairment. We release the Information Impairment Susceptibility EEG Dataset (IIS-EEG): 33-channel EEG recorded at 1000 Hz from 12 healthy adult men selected via an extreme-group strategy from a larger questionnaire cohort. EEG was collected in one session during passive viewing of emotion-eliciting audiovisual clips under positive, neutral, and negative conditions, then segmented offline into condition-specific continuous recordings. Data are minimally preprocessed (no ICA cleaning), stored in FIF, and organized in EEG-BIDS; all files are de-identified and questionnaire responses are not shared. As a technical validation, leakage-free subject-wise decoding (2-s windows) showed EEGNet reached 0.685–0.720 subject-level BACC, exceeding a log-bandpower + balanced logistic regression baseline 0.505–0.575. IIS-EEG supports emotion EEG analyses, susceptibility research, and method benchmarking.