State-Specific and Supraordinal Components of Facial Response to Pain

Dirupo, Giada; Garlasco, Paolo; Chappuis, Cyrielle; Sharvit, Gil; Corradi‐Dell’Acqua, Corrado

doi:10.1109/taffc.2020.2965105

Cited by 5 publications

(7 citation statements)

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“…These measures are advantageous in terms of sensitivity, as they capture subtle processes that might not be sufficient to affect overt behavior. On the other hand, they suffer an interpretability limitation, given that the same facial muscles and brain areas are frequently engaged under a wide range of states/conditions, including pain (17,18). Hence, in the absence of a reliable model of what constitutes a disgust (or pain) signal, it is impossible to verify a full similarity with moral cognition.…”

Section: Introductionmentioning

confidence: 99%

Does inappropriate behavior hurt or stink? The interplay between neural representations of somatic experiences and moral decisions

et al. 2020

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Embodied models suggest that moral judgments are strongly intertwined with first-hand somatic experiences, with some pointing to disgust, and others arguing for a role of pain/harm. Both disgust and pain are unpleasant, arousing experiences, with strong relevance for survival, but with distinctive sensory qualities and neural channels. Hence, it is unclear whether moral cognition interacts with sensory-specific properties of one somatic experience or with supramodal dimensions common to both. Across two experiments, participants evaluated ethical dilemmas and subsequently were exposed to disgusting (olfactory) or painful (thermal) stimulations of matched unpleasantness. We found that moral scenarios enhanced physiological and neural activity to subsequent disgust (but not pain), as further supported by an independently validated whole-brain signature of olfaction. This effect was mediated by activity in the posterior cingulate cortex triggered by dilemma judgments. Our results thus speak in favor of an association between moral cognition and sensory-specific properties of disgust.

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Section: Introductionmentioning

confidence: 99%

Does inappropriate behavior hurt or stink? The interplay between neural representations of somatic experiences and moral decisions

et al. 2020

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“…Twenty-nine participants (10 males, average age = 25.00, SD = 3.46) took part to study aimed at investigating naturalistic responses to pain and disgust (see for dettails Dirupo et al, 2020). In sum, during a first session, they smelled odorants (see Figure 1A) aimed at evoking neutral to unpleasant disgust experiences (e.g., isovaleric acid, reminiscent of dirty socks), delivered through rubber cannulas.…”

Section: Stimuli Editing and Validationmentioning

confidence: 99%

“…In contrast to the unpleasantness rating, the classification task does not appear to be related to individual's interoceptive abilities, and therefore might not tap into the "affective" pathway for social cognition. Spontaneous disgusted and painful expressions share many properties, with only subtle differences in patterns of muscle contraction (Dirupo et al, 2020;Kunz, Peter, Huster, & Lautenbacher, 2013). Furthermore, automatic tools for detection of pain from facial responses can mistakenly misclassify disgust expressions as painful (Dirupo et al, 2020).…”

Section: Two-way Model Of Social Affective Cognitionmentioning

confidence: 99%

“…Spontaneous disgusted and painful expressions share many properties, with only subtle differences in patterns of muscle contraction (Dirupo et al, 2020;Kunz, Peter, Huster, & Lautenbacher, 2013). Furthermore, automatic tools for detection of pain from facial responses can mistakenly misclassify disgust expressions as painful (Dirupo et al, 2020). Finally, human oobservers can discriminate between these two states with moderate accuracy and considerable misclassifications (see Kunz & Lautenbacher, 2015; see also Figures 1B & 3).…”

Section: Two-way Model Of Social Affective Cognitionmentioning

confidence: 99%

“…Specifically, as one of the key elements of heterogeneity in the literature involves the methodology employed to assess others' affect, here we aim at disentangling the assessment of state-specific information from that of supra-ordinal features, common to many states. For this purpose, we created a video-database of naturalistic facial expressions, collected while individuals underwent painful (thermal) and disgusting (olfactory) events, carefully matched for unpleasantness (Dirupo, Garlasco, Chappuis, Sharvit, & Corradi-DellAcqua, 2020). Then we asked a group of female participants to observe these clips and to either classify them according to state (pain, disgust, neutral), or to rate the unpleasantness felt by the person in the video.…”

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The role of interoception in understanding others' affect. Dissociation between superficial and detailed appraisal of facial expressions

Dirupo

Corradi‐Dell’Acqua

Kashef

et al. 2020

Cortex

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Embodied models of social cognition argue that others' emotional states are processed by re-enacting a representation of the same state in the observer, along with associated somatic and physiological responses. In this framework, previous studies tested whether a strong sensitivity to interoceptive signals (i.e., inputs arising from within one's body) facilitates the understanding of others' affect, leading to mixed results. Such heterogeneity in the literature could reflect methodological differences in paradigms employed, with some probing classification of a precise condition, and others requiring the assessment of supra-ordinal dimensions orthogonal to many states. Here, we engaged fifty young women in a study where they evaluated others' naturalistic facial reactions to painful and disgusting stimuli of comparable unpleasantness. Separately, we measured their interoceptive abilities through a well-known heartbeat counting task. We found that individuals that were more accurate in tracking their heartbeats across time were also more prone to judge facial expressions as more unpleasant (supra-ordinal assessment). However, when specifically asked to discriminate between comparably-unpleasant pain and disgust (state-specific assessment), participants' performance was not influenced by their interoceptive abilities. Although confined to a female sample, this study extends our knowledge on the role of interoception in the understanding of others, which influences only the evaluation of general features such as unpleasantness (common between pain and disgust), without extending to the appraisal of a precise state. This finding supports multi-componential models of social cognition, suggesting that only part of our ability to assess others' affect is mediated by a representation of one's affective/somatic responses. IntroductionHow we understand other people's affective states is a relevant but still heavily debated topic in cognitiveaffective psychology. One influential model suggests that this might be achieved by accessing representations of homologous states in one's own body (Bernhardt & Singer, 2012;Goldman & de Vignemont, 2009). A rich literature supports this hypothesis through varied empirical evidence. First, brain responses evoked by ones' and others' emotional/somatic states often overlap, suggesting at least a partially common underlying neural representation (Corradi-Dell'Acqua, Hofstetter, & Vuilleumier, 2011;

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Incorporation of “Artificial Intelligence” for Objective Pain Assessment: A Comprehensive Review

El-Tallawy,

Pergolizzi,

Vasiliu-Feltes

et al. 2024

Pain Ther

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Pain is a significant health issue, and pain assessment is essential for proper diagnosis, follow-up, and effective management of pain. The conventional methods of pain assessment often suffer from subjectivity and variability. The main issue is to understand better how people experience pain. In recent years, artificial intelligence (AI) has been playing a growing role in improving clinical diagnosis and decision-making. The application of AI offers promising opportunities to improve the accuracy and efficiency of pain assessment. This review article provides an overview of the current state of AI in pain assessment and explores its potential for improving accuracy, efficiency, and personalized care. By examining the existing literature, research gaps, and future directions, this article aims to guide further advancements in the field of pain management. An online database search was conducted via multiple websites to identify the relevant articles. The inclusion criteria were English articles published between January 2014 and January 2024). Articles that were available as full text clinical trials, observational studies, review articles, systemic reviews, and meta-analyses were included in this review. The exclusion criteria were articles that were not in the English language, not available as free full text, those involving pediatric patients, case reports, and editorials. A total of (47) articles were included in this review. In conclusion, the application of AI in pain management could present promising solutions for pain assessment. AI can potentially increase the accuracy, precision, and efficiency of objective pain assessment.

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State-Specific and Supraordinal Components of Facial Response to Pain

Cited by 5 publications

References 49 publications

Does inappropriate behavior hurt or stink? The interplay between neural representations of somatic experiences and moral decisions

Does inappropriate behavior hurt or stink? The interplay between neural representations of somatic experiences and moral decisions

The role of interoception in understanding others' affect. Dissociation between superficial and detailed appraisal of facial expressions

Incorporation of “Artificial Intelligence” for Objective Pain Assessment: A Comprehensive Review

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