Uncertainty increases pain: evidence for a novel mechanism of pain modulation involving the periaqueductal gray
Open accessAbstract
Predictions about sensory input exert a dominant effect on what we perceive, and this is particularly true for the experience of pain. However, it remains unclear what component of prediction, from an information-theoretic perspective, controls this effect. We used a vicarious pain observation paradigm to study how the underlying statistics of predictive information modulate experience. Subjects observed judgments that a group of people made to a painful thermal stimulus, before receiving the same stimulus themselves. We show that the mean observed rating exerted a strong assimilative effect on subjective pain. In addition, we show that observed uncertainty had a specific and potent hyperalgesic effect. Using computational functional magnetic resonance imaging, we found that this effect correlated with activity in the periaqueductal gray. Our results provide evidence for a novel form of cognitive hyperalgesia relating to perceptual uncertainty, induced here by vicarious observation, with control mediated by the brainstem pain modulatory system.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The basic psychological mechanisms underlying the formation of negative expectations and nocebo effects are anticipation of and information about negative outcomes, prior lack of therapeutic effectiveness, and observation of other patients' pain worsening.
“The basic psychological mechanisms underlying the formation of negative expectations and thus, nocebo effects, are anticipation of and information about negative outcomes,34,76 prior lack of therapeutic effectiveness,33,34 and observation of other patients' pain worsening.42,60,74,77,78”
From Nocebo and pain: an overview of the psychoneurobiological mechanisms (2017) · cites this paper as [78]
In a study of 97 women exposed to either a nocebo condition or control condition through observing a video portraying a female model, results demonstrated a significant difference in pain ratings as an effect of group condition and also as an effect of ointment applications within each condition.
“Results demonstrated a significant difference in the pain ratings as an effect of group condition, and also as an effect of ointment applications within each condition.”
From Nocebo and pain: an overview of the psychoneurobiological mechanisms (2017) · cites this paper as [78]
In this study, nocebo responses were correlated with hypochondriacal trepidations as well as somatic complaints in the control condition group but not in the nocebo group.
“In this study, nocebo responses were correlated with hypochondriacal trepidations as well as somatic complaints in the control condition group but not in the nocebo group.78”
From Nocebo and pain: an overview of the psychoneurobiological mechanisms (2017) · cites this paper as [78]
Ratings of pain were higher in the nocebo condition than in the control condition, suggesting a potentiated perception of pain related to social observation.
“Furthermore, ratings of pain were higher in the nocebo condition than that in the control condition, which suggests a potentiated perception of pain related to the social observation.”
From Nocebo and pain: an overview of the psychoneurobiological mechanisms (2017) · cites this paper as [78]
Women within both the nocebo and control conditions reported more pain with application of the ointment.
“Women within both the nocebo and control conditions reported more pain with application of the ointment.”
From Nocebo and pain: an overview of the psychoneurobiological mechanisms (2017) · cites this paper as [78]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The free-energy principle: a unified brain theory?
Friston, K. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2787 · Cited by 8,120 · cited 1× · see citing works
“Accordingly, perception is viewed as an inference about the underlying cause of a sensory event: prediction is viewed as a perceptual prior, integrated with afferent input to generate subjective experience (Yuille and Kersten, 2006; Friston, 2010).”
BackgroundHow do you feel? Interoception: The sense of the physiological condition of the body
Craig, A. D. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn894 · Cited by 6,006 · see citing works
Empathy for Pain Involves the Affective but not Sensory Components of Pain
Singer, T., Seymour, B., O'Doherty, J., Kaube, H., Dolan, R. J., & Frith, C. D. (2004) · Science · doi:10.1126/science.1093535 · Cited by 3,929 · see citing works
Self-citationThe validation of visual analogue scales as ratio scale measures for chronic and experimental pain
Price, D. D., McGrath, P. A., Rafii, A., & Buckingham, B. (1983) · Pain · doi:10.1016/0304-3959(83)90126-4 · Cited by 3,921 · see citing works
Endogenous Pain Control Systems: Brainstem Spinal Pathways and Endorphin Circuitry
Basbaum, A. I., & Fields, H. L. (1984) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.07.030184.001521 · Cited by 2,687 · see citing works
Psychological and neural mechanisms of the affective dimension of pain
Price, D. D. (2000) · Science · doi:10.1126/science.288.5472.1769 · Cited by 2,092 · see citing works
Placebo-Induced Changes in fMRI in the Anticipation and Experience of Pain
Wager, T. D., Rilling, J. K., Smith, E. E., Sokolik, A., Casey, K. L., Davidson, R. J., Kosslyn, S. M., Rose, R. M., & Cohen, J. D. (2004) · Science · doi:10.1126/science.1093065 · Cited by 1,992 · see citing works
Surgery in the Rat during Electrical Analgesia Induced by Focal Brain Stimulation
Reynolds, D. V. (1969) · Science · doi:10.1126/science.164.3878.444 · Cited by 1,380 · see citing works
Dissociating pain from its anticipation in the human brain
Ploghaus, A., Tracey, I., Gati, J. S., Clare, S., Menon, R. S., Matthews, P. M., & Rawlins, J. N. P. (1999) · Science · doi:10.1126/science.284.5422.1979 · Cited by 1,151 · see citing works
Thermosensory activation of insular cortex
Craig, A. D., Chen, K., Bandy, D., & Reiman, E. M. (2000) · Nature Neuroscience · doi:10.1038/72131 · Cited by 1,004 · see citing works
Functional characteristics of the midbrain periaqueductal gray.
Behbehani, M. M. (1995) · Progress in Neurobiology · doi:10.1016/0301-0082(95)00009-k · Cited by 879 · see citing works
Social Modulation of Pain as Evidence for Empathy in Mice
Langford, D. J., Crager, S. E., Shehzad, Z., Smith, S. B., Sotocinal, S. G., Levenstadt, J. S., Chanda, M. L., Levitin, D. J., & Mogil, J. S. (2006) · Science · doi:10.1126/science.1128322 · Cited by 865 · see citing works
Vision as Bayesian inference: analysis by synthesis?
Yuille, A., & Kersten, D. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.05.002 · Cited by 849 · see citing works
Exacerbation of Pain by Anxiety Is Associated with Activity in a Hippocampal Network
Ploghaus, A., Narain, C., Beckmann, C. F., Clare, S., Bantick, S., Wise, R., Matthews, P. M., Rawlins, J. N. P., & Tracey, I. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-24-09896.2001 · Cited by 822 · see citing works
A common neurobiology for pain and pleasure
Leknes, S., & Tracey, I. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2333 · Cited by 784 · cited 4× · see citing works
“The first stems from theories of placebo analgesia, and relates to evidence suggesting that induction of reward (putatively dopaminergic) mechanisms, for example during relief prediction, exert an opponent inhibitory influence on pain (de la Fuente-Fernández et al., 2004; Lidstone et al., 2005; Fields, 2006; Scott et…”
BackgroundMethodInfluentialThe subjective experience of pain: where expectations become reality
Koyama, T., McHaffie, J. G., Laurienti, P. J., & Coghill, R. C. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408576102 · Cited by 747 · see citing works
Neural differentiation of expected reward and risk in human subcortical structures
Preuschoff, K., Bossaerts, P., & Quartz, S. R. (2006) · Neuron · doi:10.1016/j.neuron.2006.06.024 · Cited by 692 · see citing works
Olsson, A., & Phelps, E. A. (2007) · Nature Neuroscience · doi:10.1038/nn1968 · Cited by 622 · see citing works
Reinforcement Learning Signal Predicts Social Conformity
Klucharev, V., Hytönen, K., Rijpkema, M., Smidts, A., & Fernández, G. (2009) · Neuron · doi:10.1016/j.neuron.2008.11.027 · Cited by 594 · see citing works
The Human Adaptation for Culture
Tomasello, M. (1999) · Annual Review of Anthropology · doi:10.1146/annurev.anthro.28.1.509 · Cited by 573 · see citing works
Getting the pain you expect: mechanisms of placebo, nocebo and reappraisal effects in humans
Tracey, I. (2010) · Nature Medicine · doi:10.1038/nm.2229 · Cited by 553 · see citing works
New Insights into the Placebo and Nocebo Responses
Enck, P., Benedetti, F., & Schedlowski, M. (2008) · Neuron · doi:10.1016/j.neuron.2008.06.030 · Cited by 529 · see citing works
Sawamoto, N., Honda, M., Okada, T., Hanakawa, T., Kanda, M., Fukuyama, H., Konishi, J., & Shibasaki, H. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-19-07438.2000 · Cited by 522 · see citing works
Direct evidence for spinal cord involvement in placebo analgesia
Eippert, F., Finsterbusch, J., Bingel, U., & Büchel, C. (2009) · Science · doi:10.1126/science.1180142 · Cited by 512 · see citing works
Descending control of persistent pain: inhibitory or facilitatory?
Vanegas, H., & Schaible, H. (2004) · Brain Research Reviews · doi:10.1016/j.brainresrev.2004.07.004 · Cited by 510 · see citing works
Model‐Based fMRI and Its Application to Reward Learning and Decision Making
O’Doherty, J. P., Hampton, A. N., & Kim, H. (2007) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1390.022 · Cited by 509 · see citing works
Does anticipation of pain affect cortical nociceptive systems?
Porro, C. A., Baraldi, P., Pagnoni, G., Serafini, M., Facchin, P., Maieron, M., & Nichelli, P. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-08-03206.2002 · Cited by 469 · see citing works
Classical conditioning and the placebo effect
Montgomery, G. H., & Kirsch, I. (1997) · Pain · doi:10.1016/s0304-3959(97)00016-x · Cited by 468 · see citing works
Individual differences in reward responding explain placebo-induced expectations and effects
Scott, D. J., Stohler, C. S., Egnatuk, C. M., Wang, H., Koeppe, R. A., & Zubieta, J.-K. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.028 · Cited by 466 · see citing works
A biopsychosocial formulation of pain communication.
Hadjistavropoulos, T., Craig, K. D., Duck, S., Cano, A., Goubert, L., Jackson, P. L., Mogil, J. S., Rainville, P., Sullivan, M. J. L., Williams, A. C. D. C., et al. (2011) · Psychological Bulletin · doi:10.1037/a0023876 · Cited by 466 · cited 1× · see citing works
“Socially communicated information is ubiquitous in humans (Tomasello, 1999) and especially important in the context of potential threat (White and Galef, 1998; Olsson and Phelps, 2007) and pain (Langford et al., 2006; Goubert et al., 2011; Hadjistavropoulos et al., 2011) across species.”
BackgroundPain modulation: expectation, opioid analgesia and virtual pain
Fields, H. L. (2000) · Progress in brain research · doi:10.1016/s0079-6123(08)62143-3 · Cited by 433 · see citing works
Placebo analgesia induced by social observational learning
Colloca, L., & Benedetti, F. (2009) · Pain · doi:10.1016/j.pain.2009.01.033 · Cited by 416 · see citing works
Neuroimaging of the periaqueductal gray: State of the field
Linnman, C., Moulton, E. A., Barmettler, G., Becerra, L. R., & Borsook, D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.095 · Cited by 402 · see citing works
Brain mediators of predictive cue effects on perceived pain
Atlas, L. Y., Bolger, N., Lindquist, M. A., & Wager, T. D. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0057-10.2010 · Cited by 389 · see citing works
Neural circuitry underlying pain modulation: expectation, hypnosis, placebo
Ploghaus, A., Becerra, L. R., Borras, C., & Borsook, D. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00061-5 · Cited by 385 · see citing works
The role of conditioning and verbal expectancy in the placebo response
Voudouris, N. J., Peck, C. L., & Coleman, G. (1990) · Pain · doi:10.1016/0304-3959(90)90057-k · Cited by 369 · see citing works
Keltner, J. R., Furst, A., Fan, C., Redfern, R., Inglis, B., & Fields, H. L. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.4463-05.2006 · Cited by 346 · see citing works
Prefrontal cortex modulates placebo analgesia
Krummenacher, P., Candia, V., Folkers, G., Schedlowski, M., & Schönbächler, G. (2010) · Pain · doi:10.1016/j.pain.2009.09.033 · Cited by 337 · see citing works
Wager, T. D., Atlas, L. Y., Leotti, L. A., & Rilling, J. K. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3420-10.2011 · Cited by 328 · see citing works
Effects of accurate expectations about sensations on the sensory and distress components of pain.
Johnson, J. E. (1973) · Journal of Personality and Social Psychology · doi:10.1037/h0034767 · Cited by 325 · see citing works
Johnson, J. E., & Leventhal, H. (1974) · Journal of Personality and Social Psychology · doi:10.1037/h0036555 · Cited by 305 · see citing works
Prestimulus functional connectivity determines pain perception in humans
Ploner, M., Lee, M., Wiech, K., Bingel, U., & Tracey, I. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906186106 · Cited by 297 · see citing works
Neurobiological Mechanisms of Placebo Responses
Zubieta, J., & Stohler, C. S. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04424.x · Cited by 277 · see citing works
A functional magnetic resonance imaging study on the neural mechanisms of hyperalgesic nocebo effect
Kong, J., Gollub, R. L., Polich, G., Kirsch, I., LaViolette, P., Vangel, M., Rosen, B., & Kaptchuk, T. J. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2944-08.2008 · Cited by 263 · see citing works
Controllability and predictability in acquired motivation
Mineka, S., & Hendersen, R. W. (1985) · Annual Review of Psychology · doi:10.1146/annurev.ps.36.020185.002431 · Cited by 234 · cited 3× · see citing works
“The third class are psychological theories focusing predominantly on the role of uncertainty (Mineka and Hendersen, 1985), with the hypothesis that uncertainty itself may be inherently aversive, with pain reduced when more accurate predictions are made.”
BackgroundResultAnticipatory brainstem activity predicts neural processing of pain in humans
Fairhurst, M., Wiech, K., Dunckley, P., & Tracey, I. (2007) · Pain · doi:10.1016/j.pain.2006.09.001 · Cited by 231 · see citing works
Leventhal, H., Brown, D., Shacham, S., & Engquist, G. (1979) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.37.5.688 · Cited by 225 · see citing works
Brown, C. A., Seymour, B., Boyle, Y., El-Deredy, W., & Jones, A. K. P. (2008) · Pain · doi:10.1016/j.pain.2007.05.022 · Cited by 218 · see citing works
Self-citationSalomons, T. V., Johnstone, T., Backonja, M.-M., Shackman, A. J., & Davidson, R. J. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.6.993 · Cited by 195 · see citing works
Learning About Pain From Others: An Observational Learning Account
Goubert, L., Vlaeyen, J. W. S., Crombez, G., & Craig, K. D. (2010) · Journal of Pain · doi:10.1016/j.jpain.2010.10.001 · Cited by 189 · see citing works
Leventhal, H., Brown, D., Shacham, S., et al. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.5.688 · Cited by 170 · see citing works
Choosing between predictable and unpredictable shock conditions: Data and theory.
Badia, P., Harsh, J., & Abbott, B. B. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.5.1107 · Cited by 153 · see citing works
Placebo mechanisms and reward circuitry: clues from Parkinson's disease
de la Fuente‐Fernández, R., Schulzer, M., & Stoessl, A. J. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2003.11.019 · Cited by 133 · see citing works
Computational and dynamic models in neuroimaging
Friston, K. J., & Dolan, R. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.068 · Cited by 131 · see citing works
Self-citationOrganization of felt and seen pain responses in anterior cingulate cortex
Morrison, I., & Downing, P. E. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.079 · Cited by 123 · see citing works
Distinct Central Representations of Inescapable and Escapable Pain: Observations and Speculation
Keay, K. A., & Bandler, R. J. (2002) · Experimental Physiology · doi:10.1113/eph8702355 · Cited by 104 · see citing works
The concept of uncertainty in animal experiments using aversive stimulation.
Imada, H., & Nageishi, Y. (1982) · Psychological Bulletin · doi:10.1037/0033-2909.91.3.573 · Cited by 97 · see citing works
Bee, L., & Dickenson, A. H. (2007) · Neuroscience · doi:10.1016/j.neuroscience.2007.05.004 · Cited by 92 · see citing works
Thermally Induced Pain, the Dol Scale, and the Psychophysical Power Law
Adair, E. R., Stevens, J. C., & Marks, L. E. (1968) · The American Journal of Psychology · doi:10.2307/1421259 · Cited by 89 · see citing works
Benedetti, F. (2010) · Oxford University Press eBooks · doi:10.1093/med/9780199579518.001.0001 · Cited by 87 · see citing works
Will studies of macaque insula reveal the neural mechanisms of self-awareness?
Critchley, H., & Seth, A. (2012) · Neuron · doi:10.1016/j.neuron.2012.04.012 · Cited by 84 · see citing works
Morgan, M. M., Gold, M. S., Liebeskind, J. C., & Stein, C. (1991) · Brain Research · doi:10.1016/0006-8993(91)91264-2 · Cited by 80 · see citing works
Lovick, T. A. (2008) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.01.003 · Cited by 78 · see citing works
Hypothalamic and Midbrain Circuitry That Distinguishes Between Escapable and Inescapable Pain
Lumb, B. M. (2004) · Physiology · doi:10.1152/nips.01467.2003 · Cited by 54 · see citing works
An expectancy-value model of information-seeking behavior.
Feather, N. T. (1967) · Psychological Review · doi:10.1037/h0024879 · Cited by 52 · see citing works
Placebo analgesia as a case of a cognitive style driven by prior expectation
Morton, D. L., El‐Deredy, W., Watson, A., & Jones, A. K. P. (2010) · Brain Research · doi:10.1016/j.brainres.2010.08.046 · Cited by 51 · see citing works
On unpredictability as a causal factor in “learned helplessness”
Overmier, J. B., & Wielkiewicz, R. M. (1983) · Learning and Motivation · doi:10.1016/0023-9690(83)90020-6 · Cited by 46 · see citing works
The reduction of uncertainty concerning future pain.
Jones, A., Bentler, P. M., & Petry, G. (1966) · Journal of Abnormal Psychology · doi:10.1037/h0023115 · Cited by 44 · see citing works
Miller, R. R., Greco, C., Vigorito, M., & Marlin, N. A. (1983) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.9.2.105 · Cited by 44 · see citing works
Borckardt, J. J., Reeves, S. T., Frohman, H. A., Madan, A., Jensen, M. P., Patterson, D. R., Barth, K. S., Smith, R. A., Gracely, R. H., & George, M. S. (2010) · Pain · doi:10.1016/j.pain.2010.10.018 · Cited by 41 · see citing works
Preference for information about shock duration in rats
D'Amato, M. R., & Safarjan, W. R. (1979) · Animal Learning & Behavior · doi:10.3758/bf03209663 · Cited by 36 · see citing works
The placebo response as a reward mechanism
Lidstone, S. C., de la Fuente‐Fernández, R., & Stoessl, A. J. (2005) · Seminars in Pain Medicine · doi:10.1016/j.spmd.2005.02.004 · Cited by 33 · see citing works
Seligman, M. E. P., & Binik, Y. M. (2021) · Routledge eBooks · doi:10.4324/9781003150404-7 · Cited by 24 · see citing works
Social influence on avoidance of dangerous stimuli by rats
White, D. J., & Galef, B. G. (1998) · Animal Learning & Behavior · doi:10.3758/bf03199236 · Cited by 22 · see citing works
Dolan, R. J., & Seymour, B. (2013) · Max Planck Digital Library · Cited by 13 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Fields HL Flor H Kalso E Dostrovsky JO A motivation-decision model of pain: the role of opioids 2006 449 459 Proceedings of the 11th World Congress on Pain IASP Press Seattle
Cited by
Sorted by citations
Placebo Analgesia: A Predictive Coding Perspective
Büchel, C., Geuter, S., Sprenger, C., & Eippert, F. (2014) · Neuron · doi:10.1016/j.neuron.2014.02.042 · Cited by 505 · see citing works
Computations of uncertainty mediate acute stress responses in humans
de Berker, A. O., Rutledge, R. B., Mathys, C., Marshall, L., Cross, G. F., Dolan, R. J., & Bestmann, S. (2016) · Nature Communications · doi:10.1038/ncomms10996 · Cited by 330 · see citing works
Self-citationThe neurobiology of skeletal pain
Mantyh, P. W. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12462 · Cited by 190 · see citing works
Pain: A Precision Signal for Reinforcement Learning and Control
Seymour, B. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.055 · Cited by 164 · see citing works
Self-citationWhat’s in a word? How instructions, suggestions, and social information change pain and emotion
Koban, L., Jepma, M., Geuter, S., & Wager, T. D. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.014 · Cited by 155 · see citing works
Learning to predict and control harmful events: chronic pain and conditioning
Vlaeyen, J. W. S. (2015) · Pain · doi:10.1097/j.pain.0000000000000107 · Cited by 159 · see citing works
Nocebo and pain: an overview of the psychoneurobiological mechanisms
Blasini, M., Corsi, N., Klinger, R., & Colloca, L. (2017) · PAIN Reports · doi:10.1097/pr9.0000000000000585 · Cited by 139 · see citing works
“effects were positively correlated with periaqueductal gray activity.(82) Recently, another study sought to evaluate socially induced nocebo hyperalgesia through a similar social-observation paradigm.”
BackgroundDifferent brain circuitries mediating controllable and uncontrollable pain
Bräscher, A.-K., Becker, S., Hoeppli, M.-E., & Schweinhardt, P. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.1954-15.2016 · Cited by 118 · see citing works
The periaqueductal gray and Bayesian integration in placebo analgesia
Grahl, A., Onat, S., & Büchel, C. (2018) · eLife · doi:10.7554/elife.32930 · Cited by 110 · see citing works
Tabor, A., Thacker, M. A., Moseley, G. L., & Körding, K. P. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005142 · Cited by 111 · see citing works
Socially transmitted placebo effects
Chen, P.-H. A., Cheong, J. H., Jolly, E., Elhence, H., Wager, T. D., & Chang, L. J. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0749-5 · Cited by 106 · see citing works
Beyond conformity: Social influences on pain reports and physiology.
Koban, L., & Wager, T. D. (2016) · Emotion · doi:10.1037/emo0000087 · Cited by 92 · see citing works
Different brain networks mediate the effects of social and conditioned expectations on pain
Koban, L., Jepma, M., López‐Solà, M., & Wager, T. D. (2019) · Nature Communications · doi:10.1038/s41467-019-11934-y · Cited by 88 · see citing works
Sensitivity to pain expectations: A Bayesian model of individual differences
Hoskin, R., Berzuini, C., Acosta-Kane, D., El-Deredy, W., Guo, H., & Talmi, D. (2019) · Cognition · doi:10.1016/j.cognition.2018.08.022 · Cited by 87 · see citing works
A Bayesian Perspective on Sensory and Cognitive Integration in Pain Perception and Placebo Analgesia
Anchisi, D., & Zanon, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0117270 · Cited by 84 · see citing works
Schafer, S. M., Geuter, S., & Wager, T. D. (2017) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2017.10.008 · Cited by 78 · see citing works
Bogdanov, V. B., Viganò, A., Noirhomme, Q., Bogdanova, O. V., Guy, N., Laureys, S., Renshaw, P. F., Dallel, R., Phillips, C. L. M., & Schoenen, J. E. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.11.028 · Cited by 76 · see citing works
Uncertainty is associated with increased selective attention and sustained stimulus processing
Dieterich, R., Endrass, T., & Kathmann, N. (2016) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-016-0405-8 · Cited by 76 · see citing works
How Does Observational Learning Produce Placebo Effects? A Model Integrating Research Findings
Bajcar, E. A., & Bąbel, P. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02041 · Cited by 67 · see citing works
Hierarchical models of pain: Inference, information-seeking, and adaptive control.
Seymour, B., & Mancini, F. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117212 · Cited by 53 · see citing works
Self-citationRubio, A., Oudenhove, L. V., Sonia Pellissier, A., Ly, H. G., Dupont, P. J., de Micheaux, H. L., Tack, J. F., Dantzer, C., Delon‐Martin, C., & Bonaz, B. L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.043 · Cited by 57 · see citing works
A social affective neuroscience lens on placebo analgesia
Atlas, L. Y. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.07.016 · Cited by 56 · see citing works
Shih, Y.-W., Tsai, H.-Y., Lin, F.-S., Lin, Y., Chiang, C.-Y., Lu, Z., & Tseng, M. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2154-18.2018 · Cited by 57 · see citing works
Egle, U. T., Egloff, N., & von Känel, R. (2016) · Der Schmerz · doi:10.1007/s00482-016-0107-8 · Cited by 52 · see citing works
Schenk, L. A., Krimmel, S. R., & Colloca, L. (2017) · Pain · doi:10.1097/j.pain.0000000000000943 · Cited by 50 · see citing works
Labrenz, F., Icenhour, A., Schlamann, M. U., Forsting, M., Bingel, U., & Elsenbruch, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.064 · Cited by 46 · see citing works
The neural processes of acquiring placebo effects through observation
Schenk, L. A., & Colloca, L. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116510 · Cited by 47 · see citing works
Pain Control by Co-adaptive Learning in a Brain-Machine Interface
Zhang, S., Yoshida, W., Mano, H., Yanagisawa, T., Mancini, F., Shibata, K., Kawato, M., & Seymour, B. (2020) · Current Biology · doi:10.1016/j.cub.2020.07.066 · Cited by 39 · see citing works
Self-citationComputational and neural mechanisms of statistical pain learning
Mancini, F., Zhang, S., & Seymour, B. (2022) · Nature Communications · doi:10.1038/s41467-022-34283-9 · Cited by 36 · see citing works
Self-citationHow Instructions, Learning, and Expectations Shape Pain and Neurobiological Responses
Atlas, L. Y. (2023) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-101822-122427 · Cited by 34 · see citing works
Pain Neuroimaging in Humans: A Primer for Beginners and Non-Imagers
Moayedi, M., Salomons, T. V., & Atlas, L. Y. (2018) · Journal of Pain · doi:10.1016/j.jpain.2018.03.011 · Cited by 36 · see citing works
Confidence of probabilistic predictions modulates the cortical response to pain
Mulders, D., Seymour, B., Mouraux, A., & Mancini, F. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2212252120 · Cited by 35 · see citing works
Self-citationBüchel, C. (2023) · eLife · doi:10.7554/elife.81795 · Cited by 35 · see citing works
Predictability modulates the anticipation and perception of pain in both self and others
Peng, W., Huang, X.-X., Liu, Y., & Cui, F. (2019) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsz047 · Cited by 31 · see citing works
Eisenach, J. C., Curry, R. S., Aschenbrenner, C. A., Coghill, R. C., & Houle, T. T. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.01.005 · Cited by 33 · see citing works
Uncertainty in a context of pain: disliked but also more painful?
Zaman, J., Oudenhove, L. V., & Vlaeyen, J. W. S. (2020) · Pain · doi:10.1097/j.pain.0000000000002106 · Cited by 32 · see citing works
When knowledge hurts: humans are willing to receive pain for obtaining non-instrumental information
Bode, S., Sun, X., Jiwa, M., Cooper, P. S., Chong, T. T. ‐., & Egorova, N. (2023) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2023.1175 · Cited by 29 · see citing works
The control of tonic pain by active relief learning
Zhang, S., Mano, H., Lee, M., Yoshida, W., Kawato, M., Robbins, T. W., & Seymour, B. (2018) · eLife · doi:10.7554/elife.31949 · Cited by 34 · see citing works
Self-citationConfidence in subjective pain is predicted by reaction time during decision making
Dildine, T. C., Necka, E. A., & Atlas, L. Y. (2020) · Scientific Reports · doi:10.1038/s41598-020-77864-8 · Cited by 29 · see citing works
Bajcar, E. A., Wiercioch‐Kuzianik, K., Adamczyk, W. M., & Bąbel, P. (2019) · Pain Medicine · doi:10.1093/pm/pnz123 · Cited by 27 · see citing works
Hearing other’s pain is associated with sensitivity to physical pain: An ERP study
Liu, Y., Meng, J., Yao, M., Ye, Q., Fan, B., & Peng, W. (2019) · Biological Psychology · doi:10.1016/j.biopsycho.2019.03.011 · Cited by 28 · see citing works
Responding to nocebos through observation: Social contagion of negative emotions
Benedetti, F. (2013) · Pain · doi:10.1016/j.pain.2013.05.012 · Cited by 27 · see citing works
Nocebo Effects and Experimental Models in Visceral Pain
Elsenbruch, S., & Labrenz, F. (2018) · International review of neurobiology · doi:10.1016/bs.irn.2018.01.010 · Cited by 28 · see citing works
Learned expectations and uncertainty facilitate pain during classical conditioning
Taylor, V. A., Chang, L. J., Rainville, P., & Roy, M. (2017) · Pain · doi:10.1097/j.pain.0000000000000948 · Cited by 25 · see citing works
Bayesian prediction of placebo analgesia in an instrumental learning model
Jung, W.-M., Lee, Y., Wallraven, C., & Chae, Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172609 · Cited by 23 · see citing works
Pazmany, E., Ly, H. G., Aerts, L., Kano, M., Bergeron, S., Verhaeghe, J., Peeters, R. R., Tack, J. F., Dupont, P. J., Enzlin, P., et al. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.07.017 · Cited by 24 · see citing works
Glogan, E., Gatzounis, R., Meulders, M., & Meulders, A. (2019) · Behaviour Research and Therapy · doi:10.1016/j.brat.2019.103525 · Cited by 23 · see citing works
The brain signature of paracetamol in healthy volunteers: a double-blind randomized trial
Pickering, G., Kastler, A., Macian, N., Pereira, B., Valabregue, R., Lehericy, S., Boyer, L., Dubray, C., & Jean, B. (2015) · Drug Design, Development and Therapy · doi:10.2147/dddt.s81004 · Cited by 22 · see citing works
Johansson, E., Xiong, H.-Y., Polli, A., Coppieters, I., & Nijs, J. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13061645 · Cited by 21 · see citing works
The social transmission of empathy relies on observational reinforcement learning
Zhou, Y., Han, S., Kang, P., Tobler, P. N., & Hein, G. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2313073121 · Cited by 22 · see citing works
Crawford, L. S., Mills, E. P., Peek, A. L., Macefield, V. G., Keay, K. A., & Henderson, L. A. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad247 · Cited by 20 · see citing works
Perceptual Inference in Chronic Pain
Tabor, A., O’Daly, O., Gregory, R. W., Jacobs, C. M., Travers, W., Thacker, M. A., & Moseley, G. L. (2015) · Clinical Journal of Pain · doi:10.1097/ajp.0000000000000305 · Cited by 21 · see citing works
Zaman, J., Vanpaemel, W., Aelbrecht, C., Tuerlinckx, F., & Vlaeyen, J. W. S. (2017) · Cognition · doi:10.1016/j.cognition.2017.07.009 · Cited by 18 · see citing works
Habermann, M., Strube, A., & Büchel, C. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.09.014 · Cited by 21 · see citing works
The fear-avoidance model as an embodied prediction of threat
Varangot‐Reille, C., Pezzulo, G., & Thacker, M. A. (2024) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-024-01199-4 · Cited by 19 · see citing works
Expectations underlie the effects of unpredictable pain: a behavioral and electroencephalogram study
Pavy, F., Zaman, J., von Leupoldt, A., & Torta, D. M. E. (2023) · Pain · doi:10.1097/j.pain.0000000000003046 · Cited by 18 · see citing works
The effect of uncertainty on pain decisions for self and others
Loued‐Khenissi, L., Martin‐Brevet, S., Schumacher, L., & Corradi‐Dell’Acqua, C. (2022) · European Journal of Pain · doi:10.1002/ejp.1940 · Cited by 17 · see citing works
Fearful thinking predicts hypervigilance towards pain‐related stimuli in patients with chronic pain
He, C., Yu, F., Jiang, Z., Wang, J., & Luo, F. (2014) · PsyCh Journal · doi:10.1002/pchj.57 · Cited by 18 · see citing works
Zelena, D., Menant, O., Andersson, F., & Chaillou, É. (2018) · Endocrine Regulations · doi:10.2478/enr-2018-0027 · Cited by 16 · see citing works
Are neural pathways processing airway inputs sensitized in patients with cough hypersensitivity?
Farrell, M. J., & Mazzone, S. B. (2019) · Pulmonary Pharmacology & Therapeutics · doi:10.1016/j.pupt.2019.101806 · Cited by 16 · see citing works
Bajcar, E. A., Wiercioch‐Kuzianik, K., Brączyk, J., Farley, D., Bieniek, H., & Bąbel, P. (2021) · European Journal of Pain · doi:10.1002/ejp.1855 · Cited by 13 · see citing works
Zaman, J., Wiech, K., Claes, N., Oudenhove, L. V., Diest, I. V., & Vlaeyen, J. W. S. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000586 · Cited by 16 · see citing works
Cortico-Brainstem Mechanisms of Biased Perceptual Decision-Making in the Context of Pain
Wiech, K., Eippert, F., Vandekerckhove, J., Zaman, J., Placek, K., Tuerlinckx, F., Vlaeyen, J. W. S., & Tracey, I. (2021) · Journal of Pain · doi:10.1016/j.jpain.2021.11.006 · Cited by 14 · see citing works
Drusko, A., Baumeister, D., McPhee, M. E., Kold, S., Fisher, V., Treede, R., Powers, A. R., Graven‐Nielsen, T., & Tesarz, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-29758-8 · Cited by 15 · see citing works
Neige, C., Brun, C., Gagné, M., Bouyer, L. J., & Mercier, C. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116883 · Cited by 13 · see citing works
The Placebo Effect in Psychosis: Why It Matters and How to Measure It
Hird, E., Diederen, K. M. J., Leucht, S., Jensen, K. B., & McGuire, P. K. (2023) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2023.02.008 · Cited by 14 · see citing works
Does Active Inference Provide a Comprehensive Theory of Placebo Analgesia?
Milde, C., Brinskelle, L. S., & Glombiewski, J. A. (2023) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2023.08.007 · Cited by 15 · see citing works
The effect of unpredictability on the perception of pain: a systematic review and meta-analysis
Pavy, F., Zaman, J., Noortgate, W. V. D., Scarpa, A., von Leupoldt, A., & Torta, D. M. E. (2024) · Pain · doi:10.1097/j.pain.0000000000003199 · Cited by 14 · see citing works
The Role of Social and Interpersonal Factors in Placebo Analgesia
Necka, E. A., & Atlas, L. Y. (2018) · International review of neurobiology · doi:10.1016/bs.irn.2018.01.006 · Cited by 14 · see citing works
The influence of social signals on the self-experience of pain: A neuroimaging review
Sharvit, G., & Schweinhardt, P. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.856874 · Cited by 11 · see citing works
Tsai, H.-Y., Lapanan, K., Lin, Y., Huang, C., Lin, W., Lin, M., Lu, Z., Lin, F.-S., & Tseng, M. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1627-23.2024 · Cited by 14 · see citing works
Li, X., Jin, R., Lu, X., Zhan, Y., Jiang, N., & Peng, W. (2024) · Pain · doi:10.1097/j.pain.0000000000003452 · Cited by 13 · see citing works
Preparing for the Worst: Evidence that Older Adults Proactively Downregulate Negative Affect
Corbett, B., Rajah, M. N., & Duarte, A. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz166 · Cited by 13 · see citing works
Li, X., Yao, J., Lin, X., Chen, S., Jin, R., & Peng, W. (2022) · Clinical Neurophysiology · doi:10.1016/j.clinph.2022.12.009 · Cited by 13 · see citing works
Xu, Z., Sakagawa, T., Furui, A., Jomyo, S., Morita, M., Ando, M., & Tsuji, T. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3154398 · Cited by 11 · see citing works
Poublan‐Couzardot, A., & Talmi, D. (2024) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15141 · Cited by 10 · see citing works
Statistical learning shapes pain perception and prediction independently of external cues
Onysk, J., Gregory, N., Whitefield, M., Jain, M., Turner, G., Seymour, B., & Mancini, F. (2023) · eLife · doi:10.7554/elife.90634 · Cited by 14 · see citing works
Self-citationKröger, I. L., Menz, M. M., & May, A. (2015) · Cephalalgia · doi:10.1177/0333102415612765 · Cited by 10 · see citing works
Limongi, R., Pérez, F. J., Modroño, C., & González–Mora, J. L. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00276 · Cited by 9 · see citing works
Rogers, A. H., Smit, T., Bakhshaie, J., & Zvolensky, M. J. (2025) · Journal of Behavioral Medicine · doi:10.1007/s10865-025-00590-x · Cited by 9 · see citing works
Rubanets, D., Badzińska, J., Kłosowska, J., Bąbel, P., & Bajcar, E. A. (2023) · Journal of Pain · doi:10.1016/j.jpain.2023.11.025 · Cited by 9 · see citing works
Gim, S., Hong, S., Losin, E. A. R., & Woo, C. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002910 · Cited by 10 · see citing works
Others' Pain Appraisals Modulate the Anticipation and Experience of Subsequent Pain
Peng, W., Peng, H., Lu, J., Fan, B., & Cui, F. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.04.055 · Cited by 9 · see citing works
Poublan‐Couzardot, A., Pagnoni, G., & Antoine Lutz, A. (2022) · doi:10.31219/osf.io/nteg7 · Cited by 9 · see citing works
Ramne, M., & Sensinger, J. W. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012097 · Cited by 7 · see citing works
Controllability changes pain perception by increasing the precision of expectations
Habermann, M., & Büchel, C. (2025) · Nature Communications · doi:10.1038/s41467-025-66038-7 · Cited by 12 · see citing works
Neuropsychological mechanisms of observational learning in human placebo effects
Raghuraman, N., White, J. N., Watson, L., Belleï-Rodriguez, C.-É., Shafir, R., Wang, Y., & Colloca, L. (2024) · Psychopharmacology · doi:10.1007/s00213-024-06608-7 · Cited by 8 · see citing works
Social cues influence perception of others' pain
Zhang, L., Wager, T. D., & Koban, L. (2024) · European Journal of Pain · doi:10.1002/ejp.2225 · Cited by 7 · see citing works
Socially Acquired Nocebo Effects Generalize but Are Not Attenuated by Choice
Saunders, C., Colagiuri, B., & Barnes, K. (2023) · Annals of Behavioral Medicine · doi:10.1093/abm/kaad056 · Cited by 7 · see citing works
Statistical learning shapes pain perception and prediction independently of external cues
Onysk, J., Gregory, N., Whitefield, M., Jain, M., Turner, G., Seymour, B., & Mancini, F. (2024) · eLife · doi:10.7554/elife.90634.3 · Cited by 7 · see citing works
Self-citationBajcar, E. A., Bieniek, H., Brączyk, J., & Bąbel, P. (2022) · European Journal of Pain · doi:10.1002/ejp.2063 · Cited by 7 · see citing works
MRI scanner environment increases pain perception in a standardized nociceptive paradigm
Ellerbrock, I., & May, A. (2014) · Brain Imaging and Behavior · doi:10.1007/s11682-014-9345-5 · Cited by 7 · see citing works
Migraine Does Not Affect Pain Intensity Perception: A Cross-Sectional Study
Russo, A., Tessitore, A., Bruno, A., Siciliano, M., Marcuccio, L., Silvestro, M., & Tedeschi, G. (2017) · Pain Medicine · doi:10.1093/pm/pnx174 · Cited by 7 · see citing works
Unpredictability impairs goal-directed target processing and performance
Dieterich, R., Endraß, T., Kathmann, N., & Weinberg, A. (2019) · Biological Psychology · doi:10.1016/j.biopsycho.2019.01.007 · Cited by 8 · see citing works
A computational mechanism of cue-stimulus integration for pain in the brain
Kim, J., Gim, S., Yoo, S. B. M., & Woo, C. (2024) · Science Advances · doi:10.1126/sciadv.ado8230 · Cited by 6 · see citing works
Convergent State-Control of Endogenous Opioid Analgesia
Kimmey, B. A., Ejoh, L. L., Shangloo, L., Wojick, J. A., Chehimi, S. N., McCall, N. M., Oswell, C. S., Poulson, S. J., Wu, J., Ortega, R. A. S., et al. (2026) · Journal of Pain · doi:10.1016/j.jpain.2025.105741 · Cited by 7 · see citing works
Temperamental Contributions to the Development of Psychological Profiles: II. Two Candidates
Kagan, J. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-394427-6.00014-5 · Cited by 6 · see citing works
Myronenko, A., van der Velde, P., Derksen, S. M. J. C., & Peerdeman, K. J. (2023) · Patient Education and Counseling · doi:10.1016/j.pec.2023.108008 · Cited by 6 · see citing works
Lazarus, G., Song, J., Jeronimus, B. F., & Fisher, A. J. (2023) · doi:10.31234/osf.io/4nxqh · Cited by 6 · see citing works
Lin, L., Lin, T.-Y., Chang, K. C., Wu, W., & Özçakar, L. (2024) · Life · doi:10.3390/life14070831 · Cited by 5 · see citing works
- Authors
- Yoshida, W., Seymour, B., Koltzenburg, M., & Dolan, R. J.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- UCL Queen Square Institute of Neurology (GB)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2013-03-27
- Volume
- 33
- Issue
- 13
- Pages
- 5638-5646
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3701089
- OpenAlex
- W2085014216
- Cited by
- 165
- References
- 74
- Citations by year
- 2026: 11 · 2025: 13 · 2024: 23 · 2023: 25 · 2022: 12 · 2021: 7 · 2020: 7 · 2019: 14 · 2018: 10 · 2017: 14 · 2016: 7 · 2015: 11 · 2014: 9 · 2013: 2
- FWCI
- 6.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Max Planck Digital Library (submittedVersion, other-oa)
- Cambridge University Engineering Department Publications Database (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Funders
- Wellcome Trust (091593, 078865/Z/05/Z, 078865, 098362, 098362/Z/12/Z, 091593/Z/10/Z)
- Ministry of Internal Affairs and Communications
- Medical Research Council (MR/K000608/1, MR/K015222/1)
- Topics
- Health Sciences › Medicine › Physiology › Pain Mechanisms and Treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Pain Management and Placebo Effect
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Treatment
- Keywords
- pain perception, uncertainty, periaqueductal gray, predictive information, assimilation, thermal pain
- MeSH terms
- Brain Mapping, Computer Simulation, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Models, Biological, Oxygen, Pain, Pain Measurement, Periaqueductal Gray, Physical Stimulation, Pain Threshold, Uncertainty, Pain Perception
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review