Placebo and nocebo effects on pain through the lens of the predictive brain: Neurobiological mechanisms and translational implications
Zamfira, Denisa Adina, Fassina, Tommaso, Zaworski, Kamil, Carlino, Elisa and Rossettini, Giacomo (2026) Placebo and nocebo effects on pain through the lens of the predictive brain: Neurobiological mechanisms and translational implications. Experimental Physiology, 111. ISSN 1469-445X
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Experimental Physiology - 2026 - Zamfira - Placebo and nocebo effects on pain through the lens of the predictive brain .pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Placebo and nocebo effects on pain provide a model for investigating how cognitive and contextual factors modulate the physiological processes underlying nociception and its regulation. However, existing accounts remain fragmented and lack a unifying mechanistic framework linking brain, behaviour and autonomic responses. Here, we synthesize evidence from neuroimaging, electrophysiology, pharmacological and experimental paradigms within a predictive processing framework, conceptualizing pain as an inferential process arising from the integration of top-down predictions and bottom-up nociceptive input weighted by their precision. Across studies, placebo analgesia is consistently associated with increased engagement of prefrontal– cingulate circuits and descending modulatory pathways, including periaqueductal grey and rostral ventromedial medulla, alongside activation of opioidergic, dopaminergic and cannabinoid systems. In contrast, nocebo hyperalgesia involves increased activity in limbic–interoceptive networks, recruitment of stress-related systems and cholecystokinin-mediated facilitation of nociceptive transmission. Within this framework, placebo and nocebo effects emerge as precision-dependent modulations of predictive signals that shape both central processing and peripheral physiological outputs, including autonomic and neuroendocrine responses. We further identify methodological approaches to operationalize priors, precision and prediction errors, and discuss how inter-individual variability may reflect differences in computational and physiological phenotypes. This integrative review offers a mechanistic bridge between cognitive context and physiological regulation, offering a novel perspective on how endogenous predictions can be harnessed to enhance treatment efficacy and mitigate adverse outcomes in clinical practice
| Item Type: | Article |
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| Schools: | Other |
| Depositing User: | Theo Simons |
| Date Deposited: | 02 Sep 2026 12:09 |
| Last Modified: | 02 Sep 2026 12:09 |
| URI: | https://hsu.repository.guildhe.ac.uk/id/eprint/669 |
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