Literature DB >> 33135324

Faces of clinical pain: Inter-individual facial activity patterns in shoulder pain patients.

Miriam Kunz1,2, Kenneth Prkachin3, Patricia E Solomon4, Stefan Lautenbacher1.   

Abstract

BACKGROUND: Facial 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.
METHODS: Facial 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.
RESULTS: Cluster 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.
CONCLUSIONS: These 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. SIGNIFICANCE: Similar 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.
© 2020 The Authors. European Journal of Pain published by John Wiley & Sons Ltd on behalf of European Pain Federation - EFIC ®.

Entities:  

Year:  2020        PMID: 33135324     DOI: 10.1002/ejp.1691

Source DB:  PubMed          Journal:  Eur J Pain        ISSN: 1090-3801            Impact factor:   3.931


  3 in total

1.  Computer mediated automatic detection of pain-related behavior: prospect, progress, perils.

Authors:  Kenneth M Prkachin; Zakia Hammal
Journal:  Front Pain Res (Lausanne)       Date:  2021-12-13

2.  Faces of Pain in Dementia: Learnings From a Real-World Study Using a Technology-Enabled Pain Assessment Tool.

Authors:  Mustafa Atee; Kreshnik Hoti; Paola Chivers; Jeffery D Hughes
Journal:  Front Pain Res (Lausanne)       Date:  2022-02-22

Review 3.  Are Chronic Pain Patients with Dementia Being Undermedicated?

Authors:  Wilco P Achterberg; Ane Erdal; Bettina S Husebo; Miriam Kunz; Stefan Lautenbacher
Journal:  J Pain Res       Date:  2021-02-15       Impact factor: 3.133

  3 in total

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