This derivative EEG dataset from the ERC PROMENADE project investigates how different types of cues (physical, mental imagery, literal, and metaphorical) influence the neural processing of target pictures in a picture-matching task. Comprising 39 participants and 238 files (14.8 GiB), the dataset includes preprocessed EEG data with high-pass (0.10 Hz) and low-pass (45 Hz) filtering, ICA-based artifact removal, and behavioral measures of task accuracy and individual differences in vocabulary and mental imagery abilities. The study examines event-related potentials as participants judge whether target pictures match preceding cue information across four experimental conditions. The study was approved by the Ethics Committee of the Department of Brain and Behavioral Sciences of the University of Pavia (protocol number 123/2023).
- Participants
- 39
- Channels
- 58 (10-10)
- Size
- 14.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026