Literature DB >> 30335682

Facial muscle movements encoding pain-a systematic review.

Miriam Kunz1, Doris Meixner2, Stefan Lautenbacher2.   

Abstract

Facial expressions of pain are not undefined grimaces, but they convey specific information about the internal state of the individual in pain. With this systematic review, we aim to answer the question of which facial movements are displayed most consistently during pain. We searched for studies that used the Facial Action Coding System to analyze facial activity during pain in adults, and that report on distinct facial responses (action units [AUs]). Twenty-seven studies using experimental pain and 10 clinical pain studies were included. We synthesized the data by taking into consideration (1) the criteria used to define whether an AU is pain-related; (2) types of pain; and (3) the cognitive status of the individuals. When AUs were selected as being pain-related based on a "pain > baseline" increase, a consistent subset of pain-related AUs emerged across studies: lowering the brows (AU4), cheek raise/lid tightening (AUs6_7), nose wrinkling/raising the upper lip (AUs9_10), and opening of the mouth (AUs25_26_27). This subset was found independently of the cognitive status of the individuals and was stable across clinical and experimental pain with only one variation, namely that eye closure (AU43) occurred more frequently during clinical pain. This subset of pain-related facial responses seems to encode the essential information about pain available in the face. However, given that these pain-related AUs are most often not displayed all at once, but are differently combined, health care professionals should use a more individualized approach, determining which pain-related facial responses an individual combines and aggregates to express pain, instead of erroneously searching for a uniform expression of pain.

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Year:  2019        PMID: 30335682     DOI: 10.1097/j.pain.0000000000001424

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  22 in total

Review 1.  [Assessing pain in patients with dementia].

Authors:  S Lautenbacher; M Kunz
Journal:  Anaesthesist       Date:  2019-12       Impact factor: 1.041

Review 2.  Primer on machine learning: utilization of large data set analyses to individualize pain management.

Authors:  Parisa Rashidi; David A Edwards; Patrick J Tighe
Journal:  Curr Opin Anaesthesiol       Date:  2019-10       Impact factor: 2.706

3.  Pain E-motion Faces Database (PEMF): Pain-related micro-clips for emotion research.

Authors:  Roberto Fernandes-Magalhaes; Alberto Carpio; David Ferrera; Dimitri Van Ryckeghem; Irene Peláez; Paloma Barjola; María Eugenia De Lahoz; María Carmen Martín-Buro; José Antonio Hinojosa; Stefaan Van Damme; Luis Carretié; Francisco Mercado
Journal:  Behav Res Methods       Date:  2022-10-17

4.  The Delaware Pain Database: a set of painful expressions and corresponding norming data.

Authors:  Peter Mende-Siedlecki; Jennie Qu-Lee; Jingrun Lin; Alexis Drain; Azaadeh Goharzad
Journal:  Pain Rep       Date:  2020-10-21

5.  Pain modulation by your partner: An experimental investigation from a social-affective perspective.

Authors:  Katrin Hillmer; Judith Kappesser; Christiane Hermann
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

6.  Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders.

Authors:  Arun Das; Jeffrey Mock; Yufei Huang; Edward Golob; Peyman Najafirad
Journal:  Proc Conf AAAI Artif Intell       Date:  2021-05-18

7.  The need for diversity in research on facial expressions of pain.

Authors:  Troy C Dildine; Lauren Y Atlas
Journal:  Pain       Date:  2019-08       Impact factor: 7.926

Review 8.  Crying out in pain-A systematic review into the validity of vocalization as an indicator for pain.

Authors:  Loreine M L Helmer; Roxane A F Weijenberg; Ralph de Vries; Wilco P Achterberg; Stefan Lautenbacher; Elizabeth L Sampson; Frank Lobbezoo
Journal:  Eur J Pain       Date:  2020-07-13       Impact factor: 3.931

9.  Reconsidering the Duchenne Smile: Formalizing and Testing Hypotheses about Eye Constriction and Positive Emotion.

Authors:  Jeffrey M Girard; Jeffrey F Cohn; Lijun Yin; Louis-Philippe Morency
Journal:  Affect Sci       Date:  2021-01-18

Review 10.  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

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