A Predictive Coding Model for Evoked and Spontaneous Pain Perception

Song, Yuru; Kemprecos, Helen; Wang, Jing; Chen, Zhe

doi:10.1109/embc.2019.8857298

Cited by 9 publications

(9 citation statements)

References 25 publications

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“…Furthermore, the protentive or predictive causal influence of identification (upadana) on pain feeling highlights a loop interpretation or causally circular view of the links in the chain of mental reactivity, and emphasizes the causal roles that clinging or attachment (with a particular focus related to the self and the "wrong view," i.e., sakkaya-ditthi, about it) has at different stages of the chain of reactivity, before and after sensory input (contact, or phassa, in Pali). The latter finding also resonates with contemporary predictive coding models of pain perception (Fazeli & Büchel, 2018;Song et al, 2019), showing that, together with bottom-up sensory input, top-down factors like pain expectations, which are based on the prediction error between previous expectations and the actual experience, contribute to update future predictions/expectations. Our findings are thus in line with this theoretical framework emphasizing top-down factors, such as expectations (Fazeli & Büchel, 2018;Song et al, 2019), and self-related identification in our case, in affecting the upcoming experience.…”

Section: Relationships With the Models Of The Two Arrows Of Pain And Dependent Originationsupporting

confidence: 70%

“…The latter finding also resonates with contemporary predictive coding models of pain perception (Fazeli & Büchel, 2018;Song et al, 2019), showing that, together with bottom-up sensory input, top-down factors like pain expectations, which are based on the prediction error between previous expectations and the actual experience, contribute to update future predictions/expectations. Our findings are thus in line with this theoretical framework emphasizing top-down factors, such as expectations (Fazeli & Büchel, 2018;Song et al, 2019), and self-related identification in our case, in affecting the upcoming experience.…”

Section: Relationships With the Models Of The Two Arrows Of Pain And Dependent Originationsupporting

confidence: 70%

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The Two Arrows of Pain: Mechanisms of Pain Related to Meditation and Mental States of Aversion and Identification

et al. 2022

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Objectives According to the core Buddhist psychology models of the “two arrows of pain” and “co-dependent origination,” pain is the resultant of bodily and mental factors, which can be regulated by meditation states and traits. Here we investigated how pain and the related aversion and identification (self-involvement) experiences are modulated by focused attention meditation (FAM), open monitoring meditation (OMM), and loving kindness meditation (LKM), as well as by meditation expertise. Methods Theravada Buddhist long-term meditators were matched with a group of short-term meditators. Nociceptive electrical stimulation was administered during FAM, OMM, and LKM, and in a non-meditative rest condition. Experience reports of pain, aversion, and identification were collected in each trial. Results Pain thresholds were higher in long-term meditators than in short-term meditators. In the short-term meditators, as compared to rest, pain was reduced in FAM and OMM, and aversion and identification in all meditation conditions. In the long-term meditators, pain was reduced only in LKM. Identification was reduced in the three forms of meditation, while aversion was not affected by meditation. Further analyses with a particular focus on long-term meditators showed that pain was predicted to increase with meditation expertise, aversion, and identification. Granger causality analysis revealed that aversion and pain, as well as aversion and identification, causally influenced each other; identification causally influenced pain. This pattern of results about the relationships between pain, aversion, and identification was largely overlapping in the group of short-term meditators. Conclusions The findings reveal mechanisms of pain in interaction with aversive and identification mental states, as well as their modulation by meditation states and traits. They also suggest that pain feeling is the resultant of coupling of sensory and mental factors, thus highlighting the relevance of the second arrow of pain and providing a clarification of the epistemological gap between sensory causation and mental state causation of pain, in terms of a co-production mechanism with multiple stages. In particular, the evidence about the causal influences of identification on pain highlights a self-related factor of relevance in pain experiences that can be modulated by mindfulness. The study also inspires new testable neuroscientific hypotheses, and sheds new light on core Buddhist psychology models, based on evidence from a controlled experimental setting and experience dimension reports by long-term meditators with enhanced mindfulness skills.

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Section: Relationships With the Models Of The Two Arrows Of Pain And Dependent Originationsupporting

confidence: 70%

Section: Relationships With the Models Of The Two Arrows Of Pain And Dependent Originationsupporting

confidence: 70%

The Two Arrows of Pain: Mechanisms of Pain Related to Meditation and Mental States of Aversion and Identification

et al. 2022

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“…Only one previous study has investigated functional connectivity between SI and ACC in the acute phase of a model of pain [21], and the current study differs on several aspects, both in terms of recording method (fMRI vs. intracortical) and because they did not base their analysis dividing signals into the traditional frequency bands. The response in SI and ACC was found to correlate in the gamma and beta frequency bands during spontaneous pain behavior after repeated noxious laser stimuli in awake rats [17].…”

Section: A Acute Responsementioning

confidence: 86%

Nerve Injury Decreases Hyperacute Resting-State Connectivity Between the Anterior Cingulate and Primary Somatosensory Cortex in Anesthetized Rats

Tøttrup

Atashzar

Farina

et al. 2020

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…Preliminary version of this work was presented in Proceedings of IEEE EMBC’19, Berlin, July 23-28, 2019 [63].…”

Section: Acknowledgmentsmentioning

confidence: 99%

“…This work was partially supported by the National Science Foundation (NSF)-CBET grant 1835000 (ZSC, JW), National Institutes of Health (NIH) R01-NS100065 (ZSC, JW), R01-MH118928 (ZSC), and a fellowship of the NIH Training Program in Computational Neuro-science (HK) supported by NIH T90/R90 DA043219 and DA043849. Preliminary version of this work was presented in Proceedings of IEEE EMBC’19, Berlin, July 23-28, 2019 (Song et al, 2019).…”

Section: Acknowledgmentsmentioning

confidence: 99%

Predictive coding models for pain perception

Song

Yao

Kemprecos

et al. 2019

Preprint

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Pain is a complex, multidimensional experience that involves dynamic interactions between sensory-discriminative and affective-emotional processes. Pain experiences have a high degree of variability depending on their context and prior anticipation. Viewing pain perception as a perceptual inference problem, we use a predictive coding paradigm to characterize both evoked and spontaneous pain. We record the local field potentials (LFPs) from the primary somatosensory cortex (S1) and the anterior cingulate cortex (ACC) of freely behaving rats-two regions known to encode the sensory-discriminative and affective-emotional aspects of pain, respectively. We further propose a framework of predictive coding to investigate the temporal coordination of oscillatory activity between the S1 and ACC. Specifically, we develop a high-level, empirical and phenomenological model to describe the macroscopic dynamics of bottom-up and top-down activity. Supported by recent experimental data, we also develop a mechanistic mean-field model to describe the mesoscopic population neuronal dynamics in the S1 and ACC populations, in both naive and chronic pain-treated animals. Our proposed predictive coding models not only replicate important experimental findings, but also provide new mechanistic insight into the uncertainty of expectation, placebo or nocebo effect, and chronic pain. Author SummaryPain perception in the mammalian brain is encoded through multiple brain circuits.The experience of pain is often associated with brain rhythms or neuronal oscillations at different frequencies. Understanding the temporal coordination of neural oscillatory activity from different brain regions is important for dissecting pain circuit mechanisms and revealing differences between distinct pain conditions. Predictive coding is a general computational framework to understand perceptual inference by integrating bottom-up sensory information and top-down expectation. Supported by experimental data, we propose a predictive coding framework for pain perception, and develop empirical and biologically-constrained computational models to characterize oscillatory dynamics of neuronal populations from two cortical circuits-one for the sensory-discriminative PLOS 2/49 experience and the other for affective-emotional experience, and further characterize their temporal coordination under various pain conditions. Our computational study of biologically-constrained neuronal population model reveals important mechanistic insight on pain perception, placebo analgesia, and chronic pain. Introduction 1Pain is a basic experience that is subjective and multidimensional. Pain processing 2 involves sensory, affective, and cognitive processing across distributed neural 3 circuits [1-5]. However, a complete understanding of pain perception and cortical pain 4 processing has remained elusive. Given the same nociceptive stimuli, the context 5 matters for pain percept. Human neuroimaging studies have shown that among many 6 brain regions, the primary somatosensory cortex (S1) a...

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A Predictive Coding Model for Evoked and Spontaneous Pain Perception

Cited by 9 publications

References 25 publications

The Two Arrows of Pain: Mechanisms of Pain Related to Meditation and Mental States of Aversion and Identification

The Two Arrows of Pain: Mechanisms of Pain Related to Meditation and Mental States of Aversion and Identification

Nerve Injury Decreases Hyperacute Resting-State Connectivity Between the Anterior Cingulate and Primary Somatosensory Cortex in Anesthetized Rats

Predictive coding models for pain perception

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