A comprehensive physiological dataset of pain and aversive modalities for pain biomarkers research
While progress has been made in identifying pain biomarkers using neuroimaging, the development of reliable EEG-based biomarkers remains challenging, limited by small sample sizes and the lack of adequate control conditions. We present a comprehensive dataset from 125 pain-free adults, comprising electroencephalogram (EEG) recordings, and behavioural, sociodemographic, and psychological data.…
Researchers have unveiled a comprehensive dataset containing physiological data on pain and aversive stimuli for biomarker research in pain. The dataset comprises EEG recordings, behavioral, sociodemographic, and psychological information from 125 pain-free adults. Additional galvanic skin response and electrocardiogram data were gathered from a subset of participants (n = 76).
Participants underwent two sustained painful stimulations (thermal and chemical) and two sustained aversive non-painful stimulations (auditory and taste), each administered twice (with and without continuous intensity ratings). The data is made available in Brain Imaging Data Structure format, with all physiological, stimulus-related, and behavioral data synchronized within the EEG files for easy analysis.
Technical validation confirmed the integrity of the data, revealing spectral and physiological responses related to stimulus intensity and subjective pain/unpleasantness levels. This multimodal physiological dataset on both painful and non-painful aversive conditions offers a valuable resource for developing or validating biomarkers and exploring the complex nature of pain perception.
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