The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
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.
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In the citing paper
“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 the citing paper
“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 the citing paper
“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]
In the citing paper
“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]
In the citing paper
“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]
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Citations
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×
“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
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
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
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
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
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
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
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
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
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
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
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
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
A common neurobiology for pain and pleasure
Leknes, S., & Tracey, I. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2333 · Cited by 784 · cited 4×
“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
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
Olsson, A., & Phelps, E. A. (2007) · Nature Neuroscience · doi:10.1038/nn1968 · Cited by 622
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
The Human Adaptation for Culture
Tomasello, M. (1999) · Annual Review of Anthropology · doi:10.1146/annurev.anthro.28.1.509 · Cited by 573
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
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 547
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 525
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
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
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
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
Classical conditioning and the placebo effect
Montgomery, G. H., & Kirsch, I. (1997) · Pain · doi:10.1016/s0304-3959(97)00016-x · Cited by 468
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
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×
“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 436
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 426
Placebo analgesia induced by social observational learning
Colloca, L., & Benedetti, F. (2009) · Pain · doi:10.1016/j.pain.2009.01.033 · Cited by 416
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
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
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
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
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
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
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
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 311
Johnson, J. E., & Leventhal, H. (1974) · Journal of Personality and Social Psychology · doi:10.1037/h0036555 · Cited by 305
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
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 · cited 1×
“One of the clearest examples is a sensitivity to predictive (anticipatory) information, with a rich literature describing conditions under which predictability modulates pain (Fields, 1999; Keltner et al., 2006; Kong et al., 2008; Atlas et al., 2010; Tracey, 2010).”
BackgroundControllability 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×
“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
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
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
Self-citationLearning 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 197
Salomons, 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
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
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
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 135
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
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 126
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
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
Bee, L., & Dickenson, A. H. (2007) · Neuroscience · doi:10.1016/j.neuroscience.2007.05.004 · Cited by 92
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
Benedetti, F. (2010) · Oxford University Press eBooks · doi:10.1093/med/9780199579518.001.0001 · Cited by 87
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
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
Lovick, T. A. (2008) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.01.003 · Cited by 78
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
An expectancy-value model of information-seeking behavior.
Feather, N. T. (1967) · Psychological Review · doi:10.1037/h0024879 · Cited by 52
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
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
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
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
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 42
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
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 35
Seligman, M. E. P., & Binik, Y. M. (2021) · Routledge eBooks · doi:10.4324/9781003150404-7 · Cited by 24
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 23
Dolan, R. J., & Seymour, B. (2013) · Max Planck Digital Library · Cited by 13
Self-citation
Research works printed but not linked: 1
- Fields HL (2006) Proceedings of the 11th World Congress on Pain A motivation-decision model of pain: the role of opioids, eds Flor H Kalso E Dostrovsky JO (IASP, Seattle), pp 449–459.
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Büchel, C., Geuter, S., Sprenger, C., & Eippert, F. (2014) · Neuron · doi:10.1016/j.neuron.2014.02.042 · Cited by 505
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
Self-citationThe neurobiology of skeletal pain
Mantyh, P. W. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12462 · Cited by 195
Pain: A Precision Signal for Reinforcement Learning and Control
Seymour, B. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.055 · Cited by 175
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 166
Metadata
- 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 (medical) › 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
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