Certainty in ascending sensory signals – The unexplored driver of analgesic placebo response

Kuperman, Pora; Talmi, Deborah; Katz, N.; Treister, Roi

doi:10.1016/j.mehy.2020.110113

Cited by 7 publications

(4 citation statements)

References 53 publications

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“…Another source of evidence that uncertainty matters to pain experience in accordance with the Bayesian framework is work on the variability of pain reports 118 . Interestingly, pain variability across time is not random, but follows a fractal pattern 119 .…”

Section: Theory and Evidence For A Predictive Processing Account Of Painmentioning

confidence: 99%

“…Another source of evidence that uncertainty matters to pain experience in accordance with the Bayesian framework is work on the variability of pain reports. 118 Interestingly, pain variability across time is not random, but follows a fractal pattern. 119 A randomized placebocontrolled trial found that individual variability in clinical pain diaries and in pain reports to un-cued experimental pain was associated with increased susceptibility to placebo effects, 120 in accordance with Büchel's suggestion that imprecise likelihood density will increase placebo susceptibility.…”

Section: Behavioral and Neural Imaging Evidencementioning

confidence: 99%

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Pain perception as hierarchical Bayesian inference: A test case for the theory of constructed emotion

Poublan‐Couzardot,

Talmi

2024

Annals of the New York Academy of Sciences

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An intriguing perspective about human emotion, the theory of constructed emotion considers emotions as generative models according to the Bayesian brain hypothesis. This theory brings fresh insight to existing findings, but its complexity renders it challenging to test experimentally. We argue that laboratory studies of pain could support the theory because although some may not consider pain to be a genuine emotion, the theory must at minimum be able to explain pain perception and its dysfunction in pathology. We review emerging evidence that bear on this question. We cover behavioral and neural laboratory findings, computational models, placebo hyperalgesia, and chronic pain. We conclude that there is substantial evidence for a predictive processing account of painful experience, paving the way for a better understanding of neuronal and computational mechanisms of other emotions.

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Section: Theory and Evidence For A Predictive Processing Account Of Painmentioning

confidence: 99%

Section: Behavioral and Neural Imaging Evidencementioning

confidence: 99%

Pain perception as hierarchical Bayesian inference: A test case for the theory of constructed emotion

Poublan‐Couzardot,

Talmi

2024

Annals of the New York Academy of Sciences

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“…Notably, the confidence (precision) one has in the belief (prior) or sensory input (likelihood) will determine how much perception will shift toward expectation—high precision of the prior will shift perception more toward expectation. In contrast, high likelihood precision will shift perception less toward expectation ( Kuperman et al, 2020 ). A gap between the belief (prior) and the sensory input (likelihood) is called a prediction error (or free energy), which can update the prior based on the likelihood ( Kuperman et al, 2020 ).…”

Section: Predictive Codingmentioning

confidence: 99%

“…In contrast, high likelihood precision will shift perception less toward expectation ( Kuperman et al, 2020 ). A gap between the belief (prior) and the sensory input (likelihood) is called a prediction error (or free energy), which can update the prior based on the likelihood ( Kuperman et al, 2020 ). In other words, a self–organizing system like the brain appears to maximize the evidence for its own existence by minimizing free energy using a (generative) model of its world ( Friston, 2012 ).…”

Section: Predictive Codingmentioning

confidence: 99%

Osteopathy and Mental Health: An Embodied, Predictive, and Interoceptive Framework

Bohlen¹,

Shaw

Cerritelli

et al. 2021

Front. Psychol.

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Globally, mental and musculoskeletal disorders present with high prevalence, disease burden, and comorbidity. In order to improve the quality of care for patients with persistent physical and comorbid mental health conditions, person-centered care approaches addressing psychosocial factors are currently advocated. Central to successful person-centered care is a multidisciplinary collaboration between mental health and musculoskeletal specialists underpinned by a robust therapeutic alliance. Such a collaborative approach might be found in osteopathy, which is typically utilized to treat patients with musculoskeletal disorders but may arguably also benefit mental health outcomes. However, research and practice exploring the reputed effect of osteopathy on patients with mental health problems lack a robust framework. In this hypothesis and theory article, we build upon research from embodied cognition, predictive coding, interoception, and osteopathy to propose an embodied, predictive and interoceptive framework that underpins osteopathic person-centered care for individuals with persistent physical and comorbid mental health problems. Based on the premise that, for example, chronic pain and comorbid depression are underlined by overly precise predictions or imprecise sensory information, we hypothesize that osteopathic treatment may generate strong interoceptive prediction errors that update the generative model underpinning the experience of pain and depression. Thus, physical and mental symptoms may be reduced through active and perceptual inference. We discuss how these theoretical perspectives can inform future research into osteopathy and mental health to reduce the burden of comorbid psychological factors in patients with persistent physical symptoms and support person-centered multidisciplinary care in mental health.

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Does Active Inference Provide a Comprehensive Theory of Placebo Analgesia?

Milde,

Brinskelle,

Glombiewski

2024

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

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Certainty in ascending sensory signals – The unexplored driver of analgesic placebo response

Cited by 7 publications

References 53 publications

Pain perception as hierarchical Bayesian inference: A test case for the theory of constructed emotion

Pain perception as hierarchical Bayesian inference: A test case for the theory of constructed emotion

Osteopathy and Mental Health: An Embodied, Predictive, and Interoceptive Framework

Does Active Inference Provide a Comprehensive Theory of Placebo Analgesia?

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