Faces of clinical pain: Inter‐individual facial activity patterns in shoulder pain patients
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AbstractBackgroundFacial activity during pain is composed of varying combinations of a few elementary facial responses (so‐called Action Units). A previous study of experimental pain showed that these varying combinations can be clustered into distinct facial activity patterns of pain. In the present study, we examined whether comparable facial activity patterns can also be identified among people suffering from clinical pain; namely, shoulder pain.MethodsFacial expressions of patients suffering from shoulder pain (N = 126) were recorded while twice undergoing a battery of passive range‐of‐motion tests to their affected limbs (UNBC‐McMaster Shoulder Pain Expression Archive Database), which elicited peaks of acute pain. Facial expressions were analysed using the Facial Action Coding System to extract facial Action Units (AUs). Hierarchical cluster analyses were used to look for characteristic combinations of these AUs.ResultsCluster analyses revealed four distinct activity patterns during painful movements. Each cluster was composed of different combinations of pain‐indicative AUs, with one AU common to all clusters, namely, “narrowed eyes”. Besides these four clusters, there was a “stoic” pattern, characterized by no discernible facial action. The identified clusters were relatively stable across time and comparable to the facial activity patterns found previously for experimental heat pain.ConclusionsThese findings corroborate the hypothesis that facial expressions of acute pain are not uniform. Instead, they are composed of different combinations of pain‐indicative facial responses, with one omnipresent response, namely, “narrowed eyes”. Raising awareness about these inter‐individually different “faces of pain” could improve the recognition and, thereby, its diagnostic training for professionals, like nurses and physicians.SignificanceSimilar to experimental pain, facial activity during evoked pain episodes in shoulder pain patients could be clustered into distinct faces of pain. Each cluster was composed of different combinations of single facial responses, namely: narrowed eyes, which is displayed either alone or in combination with opened mouth or wrinkled nose, or furrowed brows and closed eyes. These distinct faces of pain may inform the training of professionals and computers how to best recognize pain based on facial expressions.
