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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
Items 101–200 of 327
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Bartels, D. J. P., van Laarhoven, A. I. M., van de Kerkhof, P. C. M., & Evers, A. W. M. (2015) · European Journal of Pain · doi:10.1002/ejp.750 · Cited by 48
A neural mechanism of direct and observational conditioning for placebo and nocebo responses
Tu, Y., Park, J., Ahlfors, S. P., Khan, S., Egorova, N., Lang, C., Cao, J., & Kong, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.020 · Cited by 47
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Koban, L., Lee, S., Schelski, D. S., Simon, M., Lerman, C. E., Weber, B., Kable, J. W., & Plaßmann, H. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.1343-22.2022 · Cited by 48
Sex and Gender in Adverse Drug Events, Addiction, and Placebo
Franconi, F., Campesi, I., Occhioni, S., Antonini, P., & Murphy, M. F. (2012) · Handbook of experimental pharmacology · doi:10.1007/978-3-642-30726-3_6 · Cited by 49
Mechanisms of the placebo effect in pain and psychiatric disorders
Holmes, R. D., Tiwari, A. K., & Kennedy, J. L. (2016) · The Pharmacogenomics Journal · doi:10.1038/tpj.2016.15 · Cited by 49
Expectancy-Induced Placebo Analgesia in Children and the Role of Magical Thinking
Krummenacher, P., Kossowsky, J., Schwarz, C., Brugger, P., Kelley, J. M., Meyer, A. H., & Gaab, J. (2014) · Journal of Pain · doi:10.1016/j.jpain.2014.09.005 · Cited by 47
Sparse regularization techniques provide novel insights into outcome integration processes
Mohr, H., Wolfensteller, U., Frimmel, S., & Ruge, H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.025 · Cited by 47
Analgesic Effects Evoked by Real and Imagined Acupuncture: A Neuroimaging Study
Cao, J., Tu, Y., Orr, S. P., Lang, C., Park, J., Vangel, M. G., Chen, L. L., Gollub, R. L., & Kong, J. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy190 · Cited by 46
Haloperidol blocks dorsal striatum activity but not analgesia in a placebo paradigm
Wrobel, N., Wiech, K., Forkmann, K., Ritter, C., & Bingel, U. (2014) · Cortex · doi:10.1016/j.cortex.2014.02.023 · Cited by 45
Plasma Noradrenaline and State Anxiety Levels Predict Placebo Response in Learned Immunosuppression
Ober, K., Benson, S., Vogelsang, M., Bylica, A., Günther, D., Witzke, O., Kribben, A., Engler, H., & Schedlowski, M. (2011) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2011.214 · Cited by 44
Kosek, E., Martinsen, S., Gerdle, B. U. C., Mannerkorpi, K., Löfgren, M., Bilevičiūtė-Ljungar, I., Fransson, P., Schalling, M., Ingvar, M., Ernberg, M. M., et al. (2016) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2016.07.150 · Cited by 45
Pires, F. O., dos Anjos, C. A. S., Covolan, R. J. M., Fontes, E. B., Noakes, T. D., Gibson, A. S. C., Magalhães, F. H., & Ugrinowitsch, C. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01144 · Cited by 44
Affect and emotions in placebo and nocebo effects: What do we know so far?
Geers, A. L., Faasse, K., Guevarra, D. A., Clemens, K. S., Helfer, S. G., & Colagiuri, B. (2020) · Social and Personality Psychology Compass · doi:10.1111/spc3.12575 · Cited by 48
Hashmi, J. A., Baliki, M. N., Huang, L., Parks, E. L., Chanda, M. L., Schnitzer, T. J., & Apkarian, A. V. (2012) · Molecular Pain · doi:10.1186/1744-8069-8-29 · Cited by 43
Doan, N. T., Engvig, A., Zaske, K., Persson, K., Lund, M. J., Kaufmann, T., Córdova‐Palomera, A., Alnæs, D., Moberget, T., Brækhus, A., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.070 · Cited by 42
Expectation effects in working memory training
Parong, J. A., Seitz, A. R., Jaeggi, S. M., & Green, C. S. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2209308119 · Cited by 49
Investigating dose-dependent effects of placebo analgesia: A psychophysiological approach
Nakamura, Y., Donaldson, G. W., Kuhn, R., Bradshaw, D. H., Jacobson, R. C., & Chapman, R. C. (2011) · Pain · doi:10.1016/j.pain.2011.10.024 · Cited by 42
Tu, Y., Zhang, B., Cao, J., Wilson, G., Zhang, Z., & Kong, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116049 · Cited by 40
Tian, L., Ma, L., & Wang, L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.039 · Cited by 42
Shaibani, A. I., Frisaldi, E., & Benedetti, F. (2017) · Muscle & Nerve · doi:10.1002/mus.25635 · Cited by 42
How 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 36
Self-citationLiu, J., Mu, J., Liu, Q., Dun, W., Zhang, M., & Tian, J. (2017) · Human Brain Mapping · doi:10.1002/hbm.23667 · Cited by 36
Kober, S. E., Witte, M., Grinschgl, S., Neuper, C., & Wood, G. M. D. O. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.025 · Cited by 38
Mönnikes, H., Schwan, T., van Rensburg, C., Straszak, A., Theek, C., Sander, P., & Lühmann, R. (2012) · Alimentary Pharmacology & Therapeutics · doi:10.1111/j.1365-2036.2012.05085.x · Cited by 36
Liu, J., Ma, S., Mu, J., Chen, T., Xu, Q., Dun, W., Tian, J., & Zhang, M. (2017) · Human Brain Mapping · doi:10.1002/hbm.23729 · Cited by 35
Mesocorticolimbic Pathways Encode Cue-Based Expectancy Effects on Pain
Tu, Y., Bi, Y., Zhang, L., Wei, H., & Hu, L. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1082-19.2019 · Cited by 33
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Speer, S. P. H., Keysers, C., Barrios, J. C., Teurlings, C. J. S., Smidts, A., Boksem, M. A. S., Wager, T. D., & Gazzola, V. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119990 · Cited by 36
Self-citationKotsis, V., Benson, S., Bingel, U., Forsting, M., Schedlowski, M., Gizewski, E. R., & Elsenbruch, S. (2012) · Neurogastroenterology & Motility · doi:10.1111/j.1365-2982.2012.01968.x · Cited by 33
Goal-Driven Cognition in the Brain: A Computational FrameworkPreprint
O’Reilly, R. C., Hazy, T. E., Mollick, J., Mackie, P., & Herd, S. A. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1404.7591 · Cited by 54
Carlino, E., Pollo, A., & Benedetti, F. (2011) · Current Opinion in Anaesthesiology · doi:10.1097/aco.0b013e328349d0c2 · Cited by 33
Placebo and Nocebo Effects: An Introduction to Psychological and Biological Mechanisms
Kong, J., & Benedetti, F. (2014) · Handbook of experimental pharmacology · doi:10.1007/978-3-662-44519-8_1 · Cited by 34
Goodlev, E. R., DiScala, S., Darnall, B. D., Hanson, M., Petok, A., & Silverman, M. A. (2019) · Journal of Palliative Medicine · doi:10.1089/jpm.2019.0171 · Cited by 33
Duan, L. F., Dam, N. T. V., Ai, H., & Xu, P. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01088-7 · Cited by 33
Li, H., Li, X., Wang, J., Gao, F., Wiech, K., Hu, L., & Kong, Y. (2022) · Human Brain Mapping · doi:10.1002/hbm.25992 · Cited by 31
Placebo treatment can alter primary visual cortex activity and connectivity.
Schienle, A., Ubel, S., & Scharmüller, W. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.01.016 · Cited by 28
Cognitive Modulation of Psychophysical, Respiratory and Autonomic Responses to Cold Pressor Test
Santarcangelo, E. L., Paoletti, G., Chiavacci, I., Palombo, C., Carli, G., & Varanini, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075023 · Cited by 30
Context-dependency in valuation
Tymula, A. A., & Plaßmann, H. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.06.015 · Cited by 30
Yu, S., Xie, M., Liu, S., Guo, X., Jin, T., Wei, W., Zhang, Q., Zeng, F., Liang, F., & Yang, J. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.559191 · Cited by 30
Hartmann, H., Rütgen, M., Riva, F., & Lamm, C. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117397 · Cited by 28
Sevel, L. S., O’Shea, A. M., Letzen, J. E., Craggs, J. G., Price, D. D., & Robinson, M. E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.056 · Cited by 28
Aslaksen, P. M., Forsberg, J. T., & Gjerstad, J. (2018) · Pain · doi:10.1097/j.pain.0000000000001370 · Cited by 29
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Wager, T. D., & Atlas, L. Y. (2013) · Perspectives on Psychological Science · doi:10.1177/1745691612469631 · Cited by 30
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Wiech, K., Edwards, R. R., Moseley, G. L., Berna, C., Ploner, M., & Tracey, I. (2014) · PLoS ONE · doi:10.1371/journal.pone.0110654 · Cited by 29
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Elmholdt, E.-M. J., Skewes, J., Dietz, M. J., Møller, A., Jensen, M. S., Roepstorff, A., Wiech, K., & Jensen, T. S. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00337 · Cited by 28
Affective brain patterns as multivariate neural correlates of cardiovascular disease risk
Gianaros, P., Kraynak, T., Kuan, D. C. H., Gross, J., McRae, K., Hariri, A., Manuck, S., Rasero, J., & Verstynen, T. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa050 · Cited by 24
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Koban, L., Braß, M., Lynn, M. T., & Pourtois, G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049784 · Cited by 28
Lloyd, D. M., Helbig, T., Findlay, G. F. G., Roberts, N., & Nurmikko, T. J. (2016) · Journal of Pain · doi:10.1016/j.jpain.2016.01.470 · Cited by 26
Pepelassi, E., Rahiotis, C., Peponi, E., Kakaboura, A., & Vrotsos, I. A. (2014) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.12319 · Cited by 26
The role of cognitive reappraisal in placebo analgesia: an fMRI study
van der Meulen, M., Kamping, S., & Anton, F. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx033 · Cited by 27
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Ploesser, M., & Martin, D. D. (2024) · Journal of Integrative and Complementary Medicine · doi:10.1089/jicm.2023.0328 · Cited by 32
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Bedi, G., Lindquist, M. A., & Haney, M. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.135 · Cited by 24
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Edwards, E. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.92 · Cited by 24
Jarcho, J. M., Feier, N. A., Labus, J. S., Naliboff, B. D., Smith, S. R., Hong, J., Colloca, L., Tillisch, K., Mandelkern, M. A., Mayer, E. A., et al. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.11.009 · Cited by 27
Local connectome phenotypes predict social, health, and cognitive factors
Powell, M. A., Garcia, J. O., Yeh, F.-C. F., Vettel, J. M., & Verstynen, T. (2017) · Network Neuroscience · doi:10.1162/netn_a_00031 · Cited by 24
Network targets for therapeutic brain stimulation: towards personalized therapy for pain
Motzkin, J. C., Kanungo, I., D’Esposito, M., & Shirvalkar, P. R. (2023) · Frontiers in Pain Research · doi:10.3389/fpain.2023.1156108 · Cited by 25
Prior experience with a pain stimulus as a predictor of placebo analgesia
Geers, A. L., Fowler, S. L., Wellman, J. A., Helfer, S. G., Close, S., & France, C. R. (2014) · Journal of Behavioral Medicine · doi:10.1007/s10865-014-9586-1 · Cited by 25
Route of placebo administration: Robust placebo effects in laboratory and clinical settings
Liu, T. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.09.018 · Cited by 25
Johansson, E., Xiong, H.-Y., Polli, A., Coppieters, I., & Nijs, J. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13061645 · Cited by 23
Giménez, M., Pujol, J., Ali, Z., López‐Solà, M., Contreras‐Rodríguez, O., Deus, J., Ortiz, H., Soriano‐Mas, C., Llorente‐Onaindia, J., & Monfort, J. (2014) · The Journal of Rheumatology · doi:10.3899/jrheum.131367 · Cited by 21
Elliott, B. L., D’Ardenne, K., Mukherjee, P., Schweitzer, J. B., & McClure, S. M. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.05.002 · Cited by 23
Limits of decoding mental states with fMRI
Jabakhanji, R., Vigotsky, A. D., Bielefeld, J., Huang, L. Q., Baliki, M. N., Iannetti, G. D., & Apkarian, A. V. (2022) · Cortex · doi:10.1016/j.cortex.2021.12.015 · Cited by 27
Ortega, Á., Salazar, J. J., Galbán, N., Rojas, M., Ariza, D. V., Chávez-Castillo, M., Nava, M., Riaño-Garzón, M., Díaz-Camargo, E. A., Medina, Ó., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23084196 · Cited by 22
Lee, S., Parthasarathi, T., Cooper, N., Zauberman, G. S., Lerman, C. E., & Kable, J. W. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2214072119 · Cited by 21
Multivariate spatial feature selection in fMRI
Jolly, E., & Chang, L. J. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab010 · Cited by 23
Rat intersubjective decisions are encoded by frequency‐specific oscillatory contexts
Borg, J. S., Srivastava, S., Lin, L., Heffner, J., Dunson, D. B., Dzirasa, K., & de Lecea, L. (2017) · Brain and Behavior · doi:10.1002/brb3.710 · Cited by 19
Sevel, L. S., Boissoneault, J., Alappattu, M. J., Bishop, M. D., & Robinson, M. (2019) · Brain Imaging and Behavior · doi:10.1007/s11682-018-0033-8 · Cited by 19
Brain Predictors of Individual Differences in Placebo Responding
Koban, L., Ruzic, L. L., & Wager, T. D. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-397928-5.00010-6 · Cited by 19
Self-citationDoctor trustworthiness influences pain and its neural correlates in virtual medical interactions
Anderson, S. R., Gianola, M., Medina, N. A., Perry, J. M., Wager, T. D., & Losin, E. A. R. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac281 · Cited by 18
Self-citationThe role of the dorsolateral prefrontal cortex in the motor placebo effect
Villa‐Sánchez, B., Andani, M. E., & Fiorio, M. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14217 · Cited by 18
Selective REM Sleep Deprivation Improves Expectation-Related Placebo Analgesia
Chouchou, F., Chauny, J., Rainville, P., & Lavigne, G. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144992 · Cited by 18
Home-Based Transcranial Direct Current Stimulation vs Placebo for Fibromyalgia
Caumo, W., França, B. R., Orzechowski, R., Bueno, G. B., França, A. S. C., da Silva, J. V. D. S., Sanches, P. R. S., da Silva, D. P., Torres, I. L. D. S., Hirakata, V. N., et al. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.14262 · Cited by 18
Predictive mechanisms linking brain opioids to chronic pain vulnerability and resilience
Jones, A. K. P., & Brown, C. A. (2017) · British Journal of Pharmacology · doi:10.1111/bph.13840 · Cited by 17
Vachon‐Presseau, É., Abdullah, T. B., Berger, S., Huang, L., Griffith, J. W., Schnitzer, T. J., & Apkarian, A. V. (2021) · Pain · doi:10.1097/j.pain.0000000000002450 · Cited by 17
Preserved Capacity for Placebo Analgesia in the Elderly
Wrobel, N., Fadai, T., Brassen, S., & Bingel, U. (2016) · Journal of Pain · doi:10.1016/j.jpain.2016.08.012 · Cited by 17
Bartels, D. J. P., van Laarhoven, A. I. M., Heijmans, N., Hermans, D., Debeer, E., van de Kerkhof, P. C. M., & Evers, A. W. M. (2017) · Clinical Therapeutics · doi:10.1016/j.clinthera.2017.02.004 · Cited by 15
Colloca, L. (2020) · International review of neurobiology · doi:10.1016/bs.irn.2020.04.001 · Cited by 15
Anderson, S. R., Li, W., Han, S., & Losin, E. A. R. (2021) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-021-00873-1 · Cited by 15
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
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 16
Huang, Y., Yan, R., Zhang, Y., Wang, X., Sun, H., Zhou, H., Zou, H., Xia, Y. X., Yao, Z., Shi, J., et al. (2023) · Clinical Neurophysiology · doi:10.1016/j.clinph.2023.11.016 · Cited by 14
Rasero, J., Verstynen, T., DuPont, C. M., Kraynak, T. E., Barinas‐Mitchell, E., Scudder, M. R., Kamarck, T. W., Sentis, A. I., Leckie, R. L., & Gianaros, P. J. (2025) · Journal of the American Heart Association · doi:10.1161/jaha.124.034908 · Cited by 16
Egorova, N., Benedetti, F., Gollub, R. L., & Kong, J. (2019) · European Journal of Pain · doi:10.1002/ejp.1510 · Cited by 15
Case, L. K., Adler-Neal, A. L., Wells, R. E., & Zeidan, F. Z. (2021) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000908 · Cited by 16
Why medication in involuntary treatment may be less effective: The placebo/nocebo effect
Meynen, G., & Swaab, D. F. (2011) · Medical Hypotheses · doi:10.1016/j.mehy.2011.08.029 · Cited by 14
Branco, P., Berger, S., Abdullah, T. B., Vachon‐Presseau, É., Cecchi, G., & Apkarian, A. V. (2022) · Pain · doi:10.1097/j.pain.0000000000002808 · Cited by 13
Pain, placebo, and cognitive penetration
Shevlin, H., & Friesen, P. (2020) · Mind & Language · doi:10.1111/mila.12292 · Cited by 16
Maity, S., Priyadharshini, V., & Basavaraju, S. (2020) · Journal of Indian Society of Periodontology · doi:10.4103/jisp.jisp_500_19 · Cited by 12
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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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