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Predicting Individual Differences in Placebo Analgesia: Contributions of Brain Activity during Anticipation and Pain Experience
Open accessAbstract
Recent studies have identified brain correlates of placebo analgesia, but none have assessed how accurately patterns of brain activity can predict individual differences in placebo responses. We reanalyzed data from two fMRI studies of placebo analgesia (N= 47), using patterns of fMRI activity during the anticipation and experience of pain to predict new subjects' scores on placebo analgesia and placebo-induced changes in pain processing. We used a cross-validated regression procedure, LASSO-PCR, which provided both unbiased estimates of predictive accuracy and interpretable maps of which regions are most important for prediction. Increased anticipatory activity in a frontoparietal network and decreases in a posterior insular/temporal network predicted placebo analgesia. Patterns of anticipatory activity across the cortex predicted a moderate amount of variance in the placebo response (∼12% overall, ∼40% for study 2 alone), which is substantial considering the multiple likely contributing factors. The most predictive regions were those associated with emotional appraisal, rather than cognitive control or pain processing. During pain, decreases in limbic and paralimbic regions most strongly predicted placebo analgesia. Responses within canonical pain-processing regions explained significant variance in placebo analgesia, but the pattern of effects was inconsistent with widespread decreases in nociceptive processing. Together, the findings suggest that engagement of emotional appraisal circuits drives individual variation in placebo analgesia, rather than early suppression of nociceptive processing. This approach provides a framework that will allow prediction accuracy to increase as new studies provide more precise information for future predictive models.
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“Pain relief produced by these cognitive techniques are associated with significant reductions in pain-related brain activation (i.e., SI, SII, posterior insula, parietal operculum) and activation in higher-order brain regions, such as the ACC, PFC, and insula.86, 89, 98–110”
From Mindfulness meditation-based pain relief: a mechanistic account (2016) · cites this paper as [103]
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“and a recent study found that vmPFC activity was correlated with the strength of both expectations of analgesia and pain relief [62].”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [62]
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“While placebo studies often involve conditioning procedures, these may often serve primarily to alter expectations and the meaning of pain in context [60,61], and a recent study found that vmPFC activity was correlated with the strength of both expectations of analgesia and pain relief [62].”
From Ventromedial prefrontal–subcortical systems and the generation of affective meaning (2012) · cites this paper as [62]
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Cites
Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336
Distributed and overlapping representations of faces and objects in ventral temporal cortex
Haxby, J. V., Gobbini, M. I., Furey, M. L., Ishai, A., Schouten, J. L., & Pietrini, P. (2001) · Science · doi:10.1126/science.1063736 · Cited by 3,940
Pain Affect Encoded in Human Anterior Cingulate But Not Somatosensory Cortex
Rainville, P., Duncan, G. H., Price, D. D., Carrier, B., & Bushnell, M. C. (1997) · Science · doi:10.1126/science.277.5328.968 · Cited by 2,629
(2013) · Springer eBooks · Cited by 2,625
Kirsch, I., Deacon, B. J., Huedo-Medina, T. B., Scoboria, A., Moore, T. J., & Johnson, B. T. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050045 · Cited by 2,442
Reliability of the Visual Analog Scale for Measurement of Acute Pain
Bijur, P. E., Silver, W. G., & Gallagher, E. J. (2001) · Academic Emergency Medicine · doi:10.1111/j.1553-2712.2001.tb01132.x · Cited by 2,091
Research works printed but not linked: 1
- Bishop CM (2006) Pattern recognition and machine learning (Springer, New York).
Cited by
Sorted by citations
The integration of negative affect, pain and cognitive control in the cingulate cortex
Shackman, A. J., Salomons, T. V., Slagter, H. A., Fox, A. S., Winter, J. J., & Davidson, R. J. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn2994 · Cited by 2,082
Ochsner, K. N., Silvers, J. A., & Buhle, J. T. (2012) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2012.06751.x · Cited by 1,879
An fMRI-Based Neurologic Signature of Physical Pain
Wager, T. D., Atlas, L. Y., Lindquist, M. A., Roy, M., Woo, C.-W., & Kross, E. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1204471 · Cited by 1,597
Self-citationBuilding better biomarkers: brain models in translational neuroimaging
Woo, C.-W., Chang, L. J., Lindquist, M. A., & Wager, T. D. (2017) · Nature Neuroscience · doi:10.1038/nn.4478 · Cited by 1,056
Self-citationVentromedial prefrontal–subcortical systems and the generation of affective meaning
Roy, M., Shohamy, D., & Wager, T. D. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.01.005 · Cited by 856
Self-citationThe neuroscience of placebo effects: connecting context, learning and health
Wager, T. D., & Atlas, L. Y. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3976 · Cited by 844
Self-citationThe placebo response in medicine: minimize, maximize or personalize?
Enck, P., Bingel, U., Schedlowski, M., & Rief, W. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd3923 · Cited by 671
Prediction as a Humanitarian and Pragmatic Contribution from Human Cognitive Neuroscience
Gabrieli, J. D. E., Ghosh, S., & Whitfield, S. (2015) · Neuron · doi:10.1016/j.neuron.2014.10.047 · Cited by 547
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
Placebo and the New Physiology of the Doctor-Patient Relationship
Benedetti, F. (2013) · Physiological Reviews · doi:10.1152/physrev.00043.2012 · Cited by 492
Atlas, L. Y., & Wager, T. D. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.03.039 · Cited by 463
Self-citationZeidan, F., Emerson, N. M., Farris, S. R., Ray, J. N., Jung, Y., McHaffie, J. G., & Coghill, R. C. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2542-15.2015 · Cited by 369
A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect
Chang, L. J., Gianaros, P. J., Manuck, S. B., Krishnan, A., & Wager, T. D. (2015) · PLoS Biology · doi:10.1371/journal.pbio.1002180 · Cited by 354
Self-citationSchedlowski, M., Enck, P., Rief, W., & Bingel, U. (2015) · Pharmacological Reviews · doi:10.1124/pr.114.009423 · Cited by 323
Placebo Effects: From the Neurobiological Paradigm to Translational Implications
Benedetti, F. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.023 · Cited by 327
Mindfulness meditation-based pain relief: a mechanistic account
Zeidan, F., & Vago, D. R. (2016) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13153 · Cited by 300
Gard, T., Holzel, B. K., Sack, A. T., Hempel, H., Lazar, S. W., Vaitl, D., & Ott, U. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr352 · Cited by 276
Placebo analgesia: Psychological and neurobiological mechanisms
Colloca, L., Klinger, R., Flor, H., & Bingel, U. (2013) · Pain · doi:10.1016/j.pain.2013.02.002 · Cited by 263
The placebo effect: From concepts to genes
Colagiuri, B., Schenk, L. A., Keßler, M., Dorsey, S. G., & Colloca, L. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.08.017 · Cited by 278
Rütgen, M., Seidel, E.-M., Silani, G., Riečanský, I., Hummer, A., Windischberger, C., Petrovic, P., & Lamm, C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1511269112 · Cited by 208
Amanzio, M., Benedetti, F., Porro, C. A., Palermo, S., & Cauda, F. (2013) · Human Brain Mapping · doi:10.1002/hbm.21471 · Cited by 202
Interpretable whole-brain prediction analysis with GraphNet
Grosenick, L., Klingenberg, B., Katovich, K., Knutson, B. D., & Taylor, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.12.062 · Cited by 205
A neuroimaging biomarker for sustained experimental and clinical pain
Lee, J., Kim, H. J., Čeko, M., Park, B., Lee, S. A., Park, H., Roy, M., Kim, S., Wager, T. D., & Woo, C. (2021) · Nature Medicine · doi:10.1038/s41591-020-1142-7 · Cited by 199
Self-citationBrain Connectivity Predicts Placebo Response across Chronic Pain Clinical Trials
Tétreault, P., Mansour, A. R., Vachon‐Presseau, É., Schnitzer, T. J., Apkarian, A. V., & Baliki, M. N. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002570 · Cited by 187
Brain Mechanisms of the Placebo Effect: An Affective Appraisal Account
Ashar, Y. K., Chang, L. J., & Wager, T. D. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-021815-093015 · Cited by 201
Self-citationFunctional connectivity of the frontoparietal network predicts cognitive modulation of pain
Kong, J., Jensen, K. B., Loiotile, R. E., Cheetham, A., Wey, H., Tan, Y. H. V., Rosen, B. R., Smoller, J. W., Kaptchuk, T. J., & Gollub, R. L. (2012) · Pain · doi:10.1016/j.pain.2012.12.004 · Cited by 191
Functional dissociation of stimulus intensity encoding and predictive coding of pain in the insula
Geuter, S., Boll, S., Eippert, F., & Büchel, C. (2017) · eLife · doi:10.7554/elife.24770 · Cited by 184
Bright, I., Lin, G., & Kutz, J. N. (2013) · Physics of Fluids · doi:10.1063/1.4836815 · Cited by 179
The placebo effect: advances from different methodological approaches
Meissner, K., Bingel, U., Colloca, L., Wager, T. D., Watson, A., & Flaten, M. A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4099-11.2011 · Cited by 178
Self-citationDissociable Influences of Opiates and Expectations on Pain
Atlas, L. Y., Whittington, R. A., Lindquist, M. A., Wielgosz, J., Sonty, N., & Wager, T. D. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0383-12.2012 · Cited by 177
Self-citationInteroceptive inference: From computational neuroscience to clinic
Owens, A. P., Allen, M., Ondobaka, S., & Friston, K. J. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.04.017 · Cited by 187
Meta-analysis of neural systems underlying placebo analgesia from individual participant fMRI data
Zunhammer, M., Spisák, T., Wager, T. D., Bingel, U., The Placebo Imaging Consortium, Atlas, L., Benedetti, F., Büchel, C., Choi, J. C., Colloca, L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21179-3 · Cited by 171
Self-citationPlacebo Effects on the Neurologic Pain Signature
Zunhammer, M., Bingel, U., & Wager, T. D. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.2017 · Cited by 167
Self-citationYoshida, W., Seymour, B., Koltzenburg, M., & Dolan, R. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4984-12.2013 · Cited by 165
Atlas, L. Y., & Wager, T. D. (2014) · Handbook of Experimental Pharmacology · doi:10.1007/978-3-662-44519-8_3 · Cited by 162
Self-citationA neuromarker for drug and food craving distinguishes drug users from non-users
Koban, L., Wager, T. D., & Hedy Kober, A. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01228-w · Cited by 158
Self-citationRossettini, G., Camerone, E. M., Carlino, E., Benedetti, F., & Testa, M. (2020) · Archives of Physiotherapy · doi:10.1186/s40945-020-00082-y · Cited by 173
Behavioural and neural evidence for self-reinforcing expectancy effects on pain
Jepma, M., Koban, L., van Doorn, J., Jones, M., & Wager, T. D. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0455-8 · Cited by 155
Self-citationSmith, S. M., Dworkin, R. H., Turk, D. C., Baron, R., Polydefkis, M. J., Tracey, I., Borsook, D., Edwards, R. R., Harris, R. E., Wager, T. D., et al. (2017) · Journal of Pain · doi:10.1016/j.jpain.2017.02.429 · Cited by 150
Self-citationBeyond Neurovascular: Migraine as a Dysfunctional Neurolimbic Pain Network
Maizels, M., Aurora, S. K., & Heinricher, M. M. (2012) · Headache The Journal of Head and Face Pain · doi:10.1111/j.1526-4610.2012.02209.x · Cited by 142
Neuroimaging-based biomarkers for pain: state of the field and current directions
van der Miesen, M. M., Lindquist, M. A., & Wager, T. D. (2019) · PAIN Reports · doi:10.1097/pr9.0000000000000751 · Cited by 145
Self-citationPain-free resting-state functional brain connectivity predicts individual pain sensitivity
Spisák, T., Kincses, B., Schlitt, F., Zunhammer, M., Schmidt‐Wilcke, T., Kincses, Z. T., & Bingel, U. (2020) · Nature Communications · doi:10.1038/s41467-019-13785-z · Cited by 135
Cortical and subcortical responses to high and low effective placebo treatments
Geuter, S., Eippert, F., Attar, C. H., & Büchel, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.029 · Cited by 137
Kaplan, C. M., Nascimento, T. D., Foerster, B. R., Clauw, D. J., Zubieta, J., Harris, R. E., & DaSilva, A. F. M. (2016) · Arthritis Research & Therapy · doi:10.1186/s13075-016-0934-0 · Cited by 135
Distinct brain mechanisms support spatial vs temporal filtering of nociceptive information
Nahman‐Averbuch, H., Martucci, K. T., Granovsky, Y., Weissman‐Fogel, I., Yarnitsky, D., & Coghill, R. C. (2014) · Pain · doi:10.1016/j.pain.2014.07.008 · Cited by 128
Modeling Pain Using fMRI: From Regions to Biomarkers
Reddan, M. C., & Wager, T. D. (2017) · Neuroscience Bulletin · doi:10.1007/s12264-017-0150-1 · Cited by 133
Self-citationResting state connectivity correlates with drug and placebo response in fibromyalgia patients
Schmidt-Wilcke, T., Ichesco, E., Hampson, J. P., Kairys, A., Peltier, S., Harte, S., Clauw, D. J., & Harris, R. E. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2014.09.007 · Cited by 122
Tu, Y., Jung, M., Gollub, R. L., Napadow, V., Gerber, J. A., Ortiz, A., Lang, C., Mawla, I., Shen, W., Chan, S., et al. (2019) · Pain · doi:10.1097/j.pain.0000000000001507 · Cited by 127
Brain and psychological determinants of placebo pill response in chronic pain patients
Vachon‐Presseau, É., Berger, S., Abdullah, T. B., Huang, L., Cecchi, G., Griffith, J. W., Schnitzer, T. J., & Apkarian, A. V. (2018) · Nature Communications · doi:10.1038/s41467-018-05859-1 · Cited by 119
Stein, N., Sprenger, C., Scholz, J., Wiech, K., & Bingel, U. (2012) · Pain · doi:10.1016/j.pain.2012.07.010 · Cited by 120
Brain networks predicting placebo analgesia in a clinical trial for chronic back pain
Hashmi, J. A., Baria, A. T., Baliki, M. N., Huang, L., Schnitzer, T. J., & Apkarian, V. A. (2012) · Pain · doi:10.1016/j.pain.2012.08.008 · Cited by 115
Zeidan, F., Baumgartner, J. N., & Coghill, R. C. (2019) · PAIN Reports · doi:10.1097/pr9.0000000000000759 · Cited by 115
The periaqueductal gray and Bayesian integration in placebo analgesia
Grahl, A., Onat, S., & Büchel, C. (2018) · eLife · doi:10.7554/elife.32930 · Cited by 114
Plaßmann, H., & Weber, B. (2015) · Journal of Marketing Research · doi:10.1509/jmr.13.0613 · Cited by 120
Placebo improves pleasure and pain through opposite modulation of sensory processing
Ellingsen, D., Wessberg, J., Eikemo, M., Liljencrantz, J., Endestad, T., Olausson, H., & Leknes, S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1305050110 · Cited by 112
Carlino, E., Frisaldi, E., & Benedetti, F. (2014) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2014.17 · Cited by 112
Fazeli, S., & Büchel, C. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0671-18.2018 · Cited by 105
Distraction and Placebo: Two Separate Routes to Pain Control
Buhle, J. T., Stevens, B. L., Friedman, J. J., & Wager, T. D. (2012) · Psychological Science · doi:10.1177/0956797611427919 · Cited by 105
Self-citationDifferent contexts, different pains, different experiences
Carlino, E., & Benedetti, F. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.01.053 · Cited by 115
Variability in placebo analgesia and the role of fear of pain—an ERP study
Lyby, P. S., Aslaksen, P. M., & Flaten, M. A. (2011) · Pain · doi:10.1016/j.pain.2011.07.010 · Cited by 110
Elsenbruch, S., Kotsis, V., Benson, S., Rosenberger, C., Reidick, D., Schedlowski, M., Bingel, U., Theysohn, N., Forsting, M., & Gizewski, E. R. (2011) · Pain · doi:10.1016/j.pain.2011.10.036 · Cited by 101
Molecular mechanisms of placebo responses in humans
Peciña, M., & Zubieta, J.-K. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.164 · Cited by 103
Gay, C. W., Robinson, M. E., George, S. Z., Perlstein, W. M., & Bishop, M. D. (2014) · Journal of Manipulative and Physiological Therapeutics · doi:10.1016/j.jmpt.2014.09.001 · Cited by 93
Beyond conformity: Social influences on pain reports and physiology.
Koban, L., & Wager, T. D. (2016) · Emotion · doi:10.1037/emo0000087 · Cited by 92
Self-citationTu, Y., Ortiz, A., Gollub, R. L., Cao, J., Gerber, J. A., Lang, C., Park, J., Wilson, G., Shen, W., Chan, S., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101885 · Cited by 91
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 95
Self-citationSalience Network Functional Connectivity Predicts Placebo Effects in Major Depression
Sikora, M., Heffernan, J., Avery, E. T., Mickey, B. J., Zubieta, J.-K., & Peciña, M. (2016) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2015.10.002 · Cited by 85
Neural and sociocultural mediators of ethnic differences in pain
Losin, E. A. R., Woo, C., Medina, N. A., Andrews‐Hanna, J. R., Eisenbarth, H., & Wager, T. D. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0819-8 · Cited by 89
Self-citationDifferential neurophysiological correlates of bottom-up and top-down modulations of pain
Tiemann, L., May, E. S., Postorino, M., Schulz, E., Nickel, M. M., Bingel, U., & Ploner, M. (2015) · Pain · doi:10.1097/01.j.pain.0000460309.94442.44 · Cited by 81
Changes in resting-state brain networks after cognitive–behavioral therapy for chronic pain
Yoshino, A., Okamoto, Y., Okada, G., Takamura, M., Ichikawa, N., Shibasaki, C., Yokoyama, S., Doi, M., Jinnin, R., Yamashita, H., et al. (2017) · Psychological Medicine · doi:10.1017/s0033291717002598 · Cited by 78
Schafer, S. M., Geuter, S., & Wager, T. D. (2017) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2017.10.008 · Cited by 79
Self-citationA Brain Phenotype for Stressor‐Evoked Blood Pressure Reactivity
Gianaros, P. J., Sheu, L. K., Uyar, F., Koushik, J., Jennings, J. R., Wager, T. D., Singh, A., & Verstynen, T. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.006053 · Cited by 83
Self-citationYu, R., Gollub, R. L., Vangel, M. G., Kaptchuk, T. J., Smoller, J. W., & Kong, J. (2014) · Human Brain Mapping · doi:10.1002/hbm.22496 · Cited by 80
Jacobucci, R., Brandmaier, A. M., & Kievit, R. (2019) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245919826527 · Cited by 78
Hashmi, J. A., Kong, J., Spaeth, R. B., Khan, S., Kaptchuk, T. J., & Gollub, R. L. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3155-13.2014 · Cited by 77
Anticipatory brain activity predicts the success or failure of subsequent emotion regulation
Denny, B. T., Ochsner, K. N., Weber, J., & Wager, T. D. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss148 · Cited by 78
Self-citationA preliminary study of the effects of working memory training on brain function
Stevens, M. C. G., Gaynor, A. M., Bessette, K. L., & Pearlson, G. D. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9416-2 · Cited by 80
Multiple Brain Networks Mediating Stimulus–Pain Relationships in Humans
Geuter, S., Losin, E. A. R., Roy, M., Atlas, L. Y., Schmidt, L., Krishnan, A., Koban, L., Wager, T. D., & Lindquist, M. A. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa048 · Cited by 67
Self-citationKutch, J. J., Labus, J. S., Harris, R. E., Martucci, K. T., Farmer, M. A., Fenske, S. J., Fling, C., Ichesco, E., Peltier, S., Petre, B., et al. (2017) · Pain · doi:10.1097/j.pain.0000000000000886 · Cited by 68
Castelnuovo, G., Giusti, E. M., Manzoni, G. M., Saviola, D., Gabrielli, S., Lacerenza, M. R., Pietrabissa, G., Cattivelli, R., Spatola, C. A. M., Rossi, A. A., et al. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00310 · Cited by 67
The Biology of Placebo and Nocebo Effects on Experimental and Chronic Pain: State of the Art
Rossettini, G., Campaci, F., Bialosky, J. E., Huysmans, E., Vase, L., & Carlino, E. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12124113 · Cited by 69
Murray, D., & Stoessl, A. J. (2013) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2013.07.009 · Cited by 72
Gollub, R. L., Kirsch, I., Maleki, N., Wasan, A. D., Edwards, R. R., Tu, Y., Kaptchuk, T. J., & Kong, J. (2018) · Journal of Pain · doi:10.1016/j.jpain.2017.12.260 · Cited by 67
Group-regularized individual prediction: theory and application to pain
Lindquist, M. A., Krishnan, A., López‐Solà, M., Jepma, M., Woo, C., Koban, L., Roy, M., Atlas, L. Y., Schmidt, L., Chang, L. J., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.074 · Cited by 65
Self-citationEgorova, N., Yu, R., Kaur, N., Vangel, M., Gollub, R. L., Dougherty, D. D., Kong, J., & Camprodon, J. A. (2015) · Pain · doi:10.1097/j.pain.0000000000000163 · Cited by 63
Parametric trial-by-trial prediction of pain by easily available physiological measures
Geuter, S., Gamer, M., Onat, S., & Büchel, C. (2014) · Pain · doi:10.1016/j.pain.2014.02.005 · Cited by 63
Darnall, B. D., & Colloca, L. (2018) · International review of neurobiology · doi:10.1016/bs.irn.2018.07.022 · Cited by 70
Disgust regulation via placebo: an fMRI study
Schienle, A., Übel, S., Schöngaßner, F., Ille, R., & Scharmüller, W. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst072 · Cited by 61
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Metadata
- Authors
- Wager, T. D., Atlas, L. Y., Leotti, L. A., & Rilling, J. K.
- Affiliations
- University of Colorado Boulder (US)
- Columbia University (US)
- Rutgers, The State University of New Jersey (US)
- Emory University (US)
- Corresponding author
- Wager, Tor D.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-01-12
- Volume
- 31
- Issue
- 2
- Pages
- 439-452
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3735131
- OpenAlex
- W2158440149
- Cited by
- 328
- References
- 96
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 25 · 2023: 26 · 2022: 13 · 2021: 16 · 2020: 22 · 2019: 18 · 2018: 20 · 2017: 27 · 2016: 18 · 2015: 24 · 2014: 23 · 2013: 29 · 2012: 24
- FWCI
- 14.28
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- Journal of Neuroscience Nursing
- Funders
- John D. and Catherine T. MacArthur Foundation
- Kohlberg Foundation
- National Institutes of Health (MH076136)
- National Institute of Mental Health (MH076136, R01MH076136, R37MH076136)
- National Institute on Drug Abuse (RC1DA028608, R01DA027794)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Pain Management and Placebo Effect
- Health Sciences › Medicine › Physiology (medical) › Pain Mechanisms and Treatments
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Treatment
- Keywords
- placebo analgesia, individual differences, pain experience, emotional appraisal, frontoparietal network, posterior insula, paralimbic regions, pain processing, nociception
- MeSH terms
- Analgesia, Analgesics, Brain, Cerebral Cortex, Data Interpretation, Statistical, Humans, Individuality, Magnetic Resonance Imaging, Nerve Net, Pain, Regression Analysis, Placebo Effect, Cluster Analysis, Anticipation, Psychological
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