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Updated: Jun 15, 2025

Multi-Modal Signals for Analyzing Pain Responses to Thermal and Electrical Stimuli
Published on: April 5, 2019
An approach to the detection of pain from autonomic and cortical correlates
F Chouchou1, C Fauchon2, C Perchet3
1NeuroPain Lab, Lyon Neuroscience Research Centre, CRNL - Inserm U 1028/CNRS UMR 5292, University of Saint-Etienne, University of Lyon, France; IRISSE Laboratory (EA4075), UFR SHE, University of La Réunion, Le Tampon, France.
Objective:
To assess the value of combining brain and autonomic measures to discriminate the subjective perception of pain from other sensory-cognitive activations.
Methods:
20 healthy individuals received 2 types of tonic painful stimulation delivered to the hand: electrical stimuli and immersion in 10 Celsius degree (°C) water, which were contrasted with non-painful immersion in 15 °C water, and stressful cognitive testing. High-density electroencephalography (EEG) and autonomic measures (pupillary, electrodermal and cardiovascular) were continuously recorded, and the accuracy of pain detection based on combinations of electrophysiological features was assessed using machine learning procedures.
Results:
Painful stimuli induced a significant decrease in contralateral EEG alpha power. Cardiac, electrodermal and pupillary reactivities occurred in both painful and stressful conditions. Classification models, trained on leave-one-out cross-validation folds, showed low accuracy (61-73%) of cortical and autonomic features taken independently, while their combination significantly improved accuracy to 93% in individual reports.
Conclusions:
Changes in cortical oscillations reflecting somatosensory salience and autonomic changes reflecting arousal can be triggered by many activating signals other than pain; conversely, the simultaneous occurrence of somatosensory activation plus strong autonomic arousal has great probability of reflecting pain uniquely.
Significance:
Combining changes in cortical and autonomic reactivities appears critical to derive accurate indexes of acute pain perception.
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