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一种预测急性伤害性疼痛面部表情的分布式脑反应。

A distributed brain response predicting the facial expression of acute nociceptive pain.

作者信息

Picard Marie-Eve, Kunz Miriam, Chen Jen-I, Coll Michel-Pierre, Vachon-Presseau Étienne, Wager Tor D, Rainville Pierre

机构信息

Department of psychology, Université de Montréal, Montreal, Quebec, Canada.

Centre de recherche de l'institut universitaire de gériatrie de Montréal, Montreal, Quebec, Canada.

出版信息

bioRxiv. 2024 May 30:2023.07.26.550504. doi: 10.1101/2023.07.26.550504.

Abstract

Pain is a private experience observable through various verbal and non-verbal behavioural manifestations, each of which may relate to different pain-related functions. Despite the importance of understanding the cerebral mechanisms underlying those manifestations, there is currently limited knowledge on the neural correlates of the facial expression of pain. In this functional magnetic resonance imaging (fMRI) study, noxious heat stimulation was applied in healthy volunteers and we tested if previously published brain signatures of pain were sensitive to pain expression. We then applied a multivariate pattern analysis to the fMRI data to predict the facial expression of pain. Results revealed the inability of previously developed pain neurosignatures to predict the facial expression of pain. We thus propose a Facial Expression of Pain Signature (FEPS) conveying distinctive information about the brain response to nociceptive stimulations with minimal or no overlap with other pain-relevant brain signatures associated with nociception, pain ratings, thermal pain aversiveness, or pain valuation. The FEPS may provide a distinctive functional characterization of the distributed cerebral response to nociceptive pain associated with the socio-communicative role of non-verbal pain expression. This underscores the complexity of pain phenomenology by reinforcing the view that neurosignatures conceived as biomarkers must be interpreted in relation to the specific pain manifestation(s) predicted and their underlying function(s). Future studies should explore other pain-relevant manifestations and assess the specificity of the FEPS against simulated pain expressions and other types of aversive or emotional states.

摘要

疼痛是一种通过各种言语和非言语行为表现可观察到的个人体验,其中每一种表现都可能与不同的疼痛相关功能有关。尽管了解这些表现背后的大脑机制很重要,但目前关于疼痛面部表情的神经关联的知识有限。在这项功能磁共振成像(fMRI)研究中,对健康志愿者施加了有害热刺激,我们测试了先前发表的疼痛大脑特征是否对疼痛表达敏感。然后,我们对fMRI数据应用多变量模式分析来预测疼痛的面部表情。结果显示,先前开发的疼痛神经特征无法预测疼痛的面部表情。因此,我们提出了一种疼痛面部表情特征(FEPS),它传达了关于大脑对伤害性刺激反应的独特信息,与其他与伤害感受、疼痛评分、热痛厌恶或疼痛评估相关的疼痛相关大脑特征的重叠最小或没有重叠。FEPS可能为与非言语疼痛表达的社会交流作用相关的伤害性疼痛的分布式大脑反应提供独特的功能特征。这通过强化这样一种观点来强调疼痛现象学的复杂性,即被视为生物标志物的神经特征必须根据所预测的特定疼痛表现及其潜在功能来解释。未来的研究应该探索其他与疼痛相关的表现,并评估FEPS针对模拟疼痛表达和其他类型的厌恶或情绪状态的特异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6442/11145694/26b497b79989/nihpp-2023.07.26.550504v2-f0001.jpg

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