Research paperAlexithymia, not fibromyalgia, predicts the attribution of pain to anger-related facial expressions
Introduction
Fibromyalgia (FM) is a syndrome characterized by chronic, widespread musculoskeletal pain, associated with a series of other conditions, such as fatigue, non-restorative sleep, irritable bowel, psychiatric disorders, cognitive impairment, and other functional complaints (Mease, 2005, Schmidt-Wilcke and Clauw, 2011). Its prevalence ranges from 3% to 6%, and it occurs predominantly in women (Branco et al., 2010). Growing evidence suggests that FM could be considered a central sensitization syndrome, caused by an increased sensitivity of the central nervous system to pain signals (Williams and Gracely, 2006).
A relevant and emerging topic of research is the emotional regulation and processing in patients with FM (Geenen et al., 2012, Weiss et al., 2013). With regard to emotional regulation, high affect intensity and low emotional expression are independently associated with a larger impact of FM. Although high affect intensity could be considered a general risk factor for emotional maladjustment, intense experience of emotions is not necessarily associated with maladaptive outcomes in patients with FM, as long as emotional expression is involved. However, suppression of emotions, i.e., not expressing strongly felt emotions, is a particularly maladaptive combination of emotional processing and regulation (Geenen et al., 2012). To our knowledge, till date only one study has specifically investigated the issue of emotional processing in patients diagnosed with FM (Weiss et al., 2013), and found an impaired recognition of emotional facial expression, indicating greater misclassification of emotional expressions (such as happy, angry, disgusted, anxious, sad, and neutral expressions) than controls, with no difference being observed in the ratings of arousal and valence dimensions of emotional experience. The distribution of specific misclassifications did not differ between healthy individuals and patients with FM, indicating generally reduced accuracy of recognizing emotional facial expression rather than a specific pattern of mistakes.
Facial expression of pain represents a highly salient stimulus for human beings, as it provides information about a potential danger or threat to the observer, and conveys a request for help from the sufferer (Williams, 2002). Previous studies have shown that patients with FM may display a pattern of selective processing or cognitive bias, which fosters the encoding of pain-related information (Asmundson et al., 1997, Gonzalez-Roldan et al., 2013). The evaluation of pain in other individuals is considered to be modulated by several factors, including the level of empathy with the individual experiencing pain, the observer’s previous experience with pain, and the presence of certain personality characteristics (Cheng et al., 2007, Wandner et al., 2012).
Evidences for the importance of emotions in FM pain are provided by neuroimaging studies that reported hyperactivity of brain regions mediating the affective component of pain rather than the structures related to the sensation of pain in patients with FM (Burgmer et al., 2010, Burgmer et al., 2009, Duschek et al., 2012). For example, differences in the time of pain anticipation without pain stimulation were reported in patients with FM compared to HC, with atypical brain activation in FM group in areas of the pain network, particularly in the anterior cingulate cortex (ACC), supplementary motor areas, and thalamus (Burgmer et al., 2009). These findings highlight the role of the cingulo-frontal network for central sensitization in FM, supporting the hypothesis of central pain augmentation in FM syndrome (Burgmer et al., 2010).
In addition, different studies reported an enhanced sensitivity to pain in patients with central sensitivity syndromes such as FM, with respect to a variety of psychophysical stimuli, including pressure, heat, and electricity, as well as environment stimuli, such as noise, stress, and chemical stimuli (Yunus, 2009). Moreover, in both healthy individuals and patients with FM, emotions have also been observed to increase pain, in particular those involving anger and sadness (Fernandez and Turk, 1995, Janssen, 2002, van Middendorp et al., 2010).
Patients with FM also show high levels of alexithymia, a personality disposition affecting emotional self-awareness (Castelli et al., 2012, Di Tella and Castelli, 2016, Di Tella et al., 2017, Ghiggia et al., 2017). Alexithymia is mainly characterized by difficulty in identifying and describing subjective feelings, restricted process of imagination, and an externally oriented cognitive style (Sifneos, 1972, Taylor et al., 1999). Previous studies have indicated that alexithymia influences the processing of facial expressions of other individuals independent of a specific clinical condition, such as autism spectrum disorder, somatoform disorders or eating disorders (Cook et al., 2013, Grynberg et al., 2012, Pedrosa Gil et al., 2009).
The presence of alexithymia has been related to impairment in the processing of facial expressions of other individuals, in both healthy individuals and specific clinical populations, including FM (Di Tella et al., 2015, Pedrosa Gil et al., 2009, Subic-Wrana et al., 2010). Human faces are considered the main source of information about feelings of other individuals (e.g., Adenzato and Garbarini, 2006; Enrici et al., 2015) (through internal feedback from the facial skin and muscles), and the accurate interpretation of facial expressions contributes in turn to an awareness of one’s own emotions (Parker et al., 1993). The inability to correctly identify feelings and the somatic manifestations of emotions has also been associated with an intensification of the symptomology for alexithymic individuals, due to their tendency to misinterpret their emotional arousal as symptoms of disease (Lumley et al., 1996, Tuzer et al., 2011).
Based on these suggestions, the main aim of the present study was to test the hypothesis that the attribution of pain to emotional facial expressions (other than pain) is greater in patients with FM. To achieve this goal, a cross-sectional case-control study was conducted. In order to investigate the pain attribution processes, we distinguished pain estimation from pain ascription, in particular analysing the degree of pain associated with emotional facial expressions, namely emotional pain estimation, and the attribution of pain to emotional facial expressions, namely emotional pain ascription.
The presence of alexithymia in patients with FM and the impact of the alexithymic component on the attribution of pain to emotional facial expressions have also been discussed in this study.
Section snippets
Participants
Forty-one women with FM were consecutively recruited from the Fibromyalgia Integrated Outpatient Unit at the ‘Città della Salute e della Scienza’ Hospital of Turin. All patients had a major diagnosis of FM, made by an expert rheumatologist. Exclusion criteria used were as follows: less than 18 years old, low education level (<5 years), and the presence or history of a neurological or a severe psychiatric disorder, according to an expert psychiatrist examination. Eighty-two healthy women were
Results
The FM and HC groups were matched for age (FM vs. HC, mean ± SD: 50.8 ± 10.2 vs. 51.7 ± 8.4, t (121) = −0.52, p = 0.603) and educational level (12.4 ± 3.8 vs. 12.8 ± 2.5, t (58.39) = −0.59, p = 0.555).
The FM group reported significantly higher scores for both the HADS total score (FM vs. HC, mean ± SD: 18.3 ± 6.7 vs. 12.8 ± 6.6, t (121) = 4.35, p < 0.001) and the HADS subscale scores (HADS-D: 9.5 ± 4.4 vs. 5.9 ± 3.9, t (121) = 4.64, p < 0.001; HADS-A: 8.9 ± 3.8 vs. 6.9 ± 3.5, t (121) = 2.86, p
Discussion
The present study aimed at verifying the hypothesis that attribution of pain to facial expression of basic emotions (other than pain) increases in patients with FM, distinguishing emotional pain estimation, i.e., the degree of pain associated to facial expressions of emotions, and pain ascription, i.e., the attribution of pain to emotional facial expressions. Our analysis revealed three major results. Firstly, patients with FM did not report increased attribution of pain to emotional facial
Conclusions
Taken together, the findings reported in the current study suggest that alexithymia, rather than chronic pain per se, plays a key role in explaining the differences we found in pain attribution to emotions. In particular, alexithymic individuals might display a bias for the encoding of negative facial expressions, which can lead them to see pain particularly in faces expressing anger.
These results provide an intriguing starting point for investigating the association between alexithymia and the
Acknowledgements
We would like to thank the participants involved in the study and Francesca Miti for her help with data collection of HC sample.
Contributors
Study concept and design: MDT, IE, LC, MA. Data acquisition: MDT, AG, AR, VT. Patients recruitment: FC, EF. Data analysis and interpretation: MDT, IE, MA. Drafting of the manuscript: MDT, IE, MA. Statistical Analysis: MDT. Study supervision: MA. All authors have approved the final article.
Funding
Ivan Enrici, Mauro Adenzato e Lorys Castelli were supported by University of Turin grants (Ricerca scientifica finanziata dall’Università). Mauro Adenzato was also supported by MIUR of Italy (FIRB 2012-2017,
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2020, Journal of Affective DisordersCitation Excerpt :Indeed, alexithymia was found to be the only significant predictor of the recognition of others’ facial expressions in the final regression models. These results support the findings of previous studies, which showed the presence of impairments in the recognition of other people's emotional facial expressions in both healthy and clinical populations with alexithymia (Cook et al., 2013; Di Tella et al., 2018; Grynberg et al., 2012; Jongen et al., 2014; Mann et al., 1994; Moriguchi et al., 2006; Parker et al., 1993; Pedrosa et al., 2009; Swart et al., 2009). For instance, the study of Mann et al. (1994), in line with our data, found that healthy participants with high levels of alexithymia reported greater difficulties in labelling emotional facial expressions compared to individuals with low levels of alexithymia.
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