NEMAR copy of ds005946
You're viewing the NEMAR copy at v1.0.0.
Each OpenNeuro pull is a NEMAR major bump
(vN.0.0); intermediate versions are NEMAR-side fixes.
ERC_CoG PROMENADE - WP2 - MetaImagery (Metaphor and Mental Imagery)
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).
AI-generated description, may include mistakesLoading demographics…
Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.