Active pain coping is associated with the response in real-time fMRI neurofeedback during pain

Brain Imaging and Behavior

Volumn 11, Issue 3, 2017, Pages 712-721

  Emmert, Kirsten ^a,b   Breimhorst, Markus ^c   Bauermann, Thomas ^c   Birklein, Frank ^c   Rebhorn, Cora ^c   Van De Ville, Dimitri ^a,b   Haller, Sven ^d,e,f,g  

^a GENEVA UNIVERSITY HOSPITALS   (Switzerland)

^b EPFL   (Switzerland)

^c UNIVERSITY MEDICAL CENTER MAINZ   (Germany)

^d Affidea Centre de Diagnostic Radiologique de Carouge CDRC   (Switzerland)

^e UNIVERSITY OF GENEVA MEDICAL SCHOOL   (Switzerland)

^f UPPSALA UNIVERSITY   (Sweden)

^g UNIVERSITY OF FREIBURG   (Germany)

Author keywords

CSQ; fMRI; Neurofeedback; Pain; Pain coping; Real time fMRI

Indexed keywords

ADULT; ANTERIOR CINGULATE; ANTERIOR INSULA; ARTICLE; BOLD SIGNAL; BRAIN FUNCTION; CAUDATE NUCLEUS; COPING BEHAVIOR; DORSOLATERAL PREFRONTAL CORTEX; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HIPPOCAMPUS; HUMAN; HUMAN EXPERIMENT; LINGUAL GYRUS; MALE; NEUROFEEDBACK; NOCICEPTION; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; PAIN; PAIN INTENSITY; PREFRONTAL CORTEX; PRIORITY JOURNAL; REAL TIME FUNCTIONAL MAGNETIC RESONANCE IMAGING; STIMULATION; VISUAL CORTEX; BLOOD; BRAIN; BRAIN CIRCULATION; BRAIN MAPPING; DIAGNOSTIC IMAGING; HEAT; INDIVIDUALITY; NUCLEAR MAGNETIC RESONANCE IMAGING; PAIN MEASUREMENT; PATHOPHYSIOLOGY; PHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES;

OXYGEN;

ADAPTATION, PSYCHOLOGICAL; ADULT; BRAIN; BRAIN MAPPING; CEREBROVASCULAR CIRCULATION; FEMALE; HOT TEMPERATURE; HUMANS; INDIVIDUALITY; MAGNETIC RESONANCE IMAGING; MALE; NEUROFEEDBACK; OXYGEN; PAIN; PAIN MEASUREMENT; PAIN PERCEPTION; PRINCIPAL COMPONENT ANALYSIS;

EID: 84963690575     PISSN: 19317557     EISSN: 19317565     Source Type: Journal    
DOI: 10.1007/s11682-016-9547-0     Document Type: Article

References (50)

1. Abdi, H. (2007). Bonferroni and Šidák corrections for multiple comparisons. In N. J. Salkind (Ed.), Encyclopedia of measurement and statistics. Thousand Oaks: Sage.
2. Amanzio, M., Benedetti, F., Porro, C. A., Palermo, S., & Cauda, F. (2013). Activation likelihood estimation meta-analysis of brain correlates of placebo analgesia in human experimental pain. Human Brain Mapping, 34(3), 738–752. doi:10.1002/hbm.21471.
3. Apkarian, A. V. (2008). Pain perception in relation to emotional learning. Current Opinion in Neurobiology, 18(4), 464–468. doi:10.1016/j.conb.2008.09.012.
4. Apkarian, A. V., Bushnell, M. C., Treede, R. D., & Zubieta, J. K. (2005). Human brain mechanisms of pain perception and regulation in health and disease. European Journal of Pain, 9(4), 463–484. doi:10.1016/j.ejpain.2004.11.001.
5. Atlas, L. Y., & Wager, T. D. (2014). A meta-analysis of brain mechanisms of placebo analgesia: consistent findings and unanswered questions. Handbook of Experimental Pharmacology, 225, 37–69. doi:10.1007/978-3-662-44519-8_3.
6. Bento, S. P., Goodin, B. R., Fabian, L. A., Page, G. G., Quinn, N. B., & McGuire, L. (2010). Perceived control moderates the influence of active coping on salivary cortisol response to acute pain among women but not men. Psychoneuroendocrinology, 35(6), 944–948. doi:10.1016/j.psyneuen.2009.12.003.
7. Bingel, U. (2010). Mechanisms of endogenous pain modulation illustrated by placebo analgesia: functional imaging findings. Schmerz, 24(2), 122–129. doi:10.1007/s00482-010-0901-7.
8. Campbell, C. M., Edwards, R. R., & Fillingim, R. B. (2005). Ethnic differences in responses to multiple experimental pain stimuli. Pain, 113(1-2), 20–26. doi:10.1016/j.pain.2004.08.013.
9. Caria, A., Veit, R., Sitaram, R., Lotze, M., Weiskopf, N., Grodd, W., et al. (2007). Regulation of anterior insular cortex activity using real-time fMRI. NeuroImage, 35(3), 1238–1246. doi:10.1016/j.neuroimage.2007.01.018.
10. DeCharms, R.C. (2012). 1st swiss rtfMRI neurofeedback conference. In http://www.relab.ethz.ch/rtfMRI2012, ETH Zurich.
11. deCharms, R. C., Maeda, F., Glover, G. H., Ludlow, D., Pauly, J. M., Soneji, D., et al. (2005). Control over brain activation and pain learned by using real-time functional MRI. Proceedings of the National Academy of Sciences of the United States of America, 102(51), 18626–18631. doi:10.1073/pnas.0505210102.
12. Emmert, K., Breimhorst, M., Bauermann, T., Birklein, F., Van De Ville, D., & Haller, S. (2014). Comparison of anterior cingulate vs. insular cortex as targets for real-time fMRI regulation during pain stimulation. Frontiers in Behavioral Neuroscience, 8, 350. doi:10.3389/fnbeh.2014.00350.
13. Favilla, S., Huber, A., Pagnoni, G., Lui, F., Facchin, P., Cocchi, M., et al. (2014). Ranking brain areas encoding the perceived level of pain from fMRI data. NeuroImage, 90, 153–162. doi:10.1016/j.neuroimage.2014.01.001.
14. Flor, H. (2014). Psychological pain interventions and neurophysiology: implications for a mechanism-based approach. The American Psychologist, 69(2), 188–196. doi:10.1037/a0035254.
15. Fomberstein, K., Qadri, S., & Ramani, R. (2013). Functional MRI and pain. Current Opinion in Anaesthesiology. doi:10.1097/01.aco.0000433060.59939.fe.
16. Frank, S., Lee, S., Preissl, H., Schultes, B., Birbaumer, N., & Veit, R. (2012). The obese brain athlete: self-regulation of the anterior insula in adiposity. PLoS ONE, 7(8), e42570. doi:10.1371/journal.pone.0042570.
17. Freund, W., Stuber, G., Wunderlich, A. P., & Schmitz, B. (2007). Cortical correlates of perception and suppression of electrically induced pain. Somatosensory & Motor Research, 24(4), 203–212. doi:10.1080/08990220701723636.
18. Friebel, U., Eickhoff, S. B., & Lotze, M. (2011). Coordinate-based meta-analysis of experimentally induced and chronic persistent neuropathic pain. NeuroImage, 58(4), 1070–1080. doi:10.1016/j.neuroimage.2011.07.022.
19. Gracely, R. H., Geisser, M. E., Giesecke, T., Grant, M. A., Petzke, F., Williams, D. A., et al. (2004). Pain catastrophizing and neural responses to pain among persons with fibromyalgia. Brain, 127(Pt 4), 835–843. doi:10.1093/brain/awh098.
20. Haller, S., Birbaumer, N., & Veit, R. (2010). Real-time fMRI feedback training may improve chronic tinnitus. European Radiology, 20(3), 696–703. doi:10.1007/s00330-009-1595-z.
21. Haller, S., Rodriguez, C., Moser, D., Toma, S., Hofmeister, J., Sinanaj, I., et al. (2013). Acute caffeine administration impact on working memory-related brain activation and functional connectivity in the elderly: a BOLD and perfusion MRI study. Neuroscience, 250, 364–371. doi:10.1016/j.neuroscience.2013.07.021.
22. Hardy, S. G. (1985). Analgesia elicited by prefrontal stimulation. Brain Research, 339(2), 281–284.
23. Hastie, B. A., Riley, J. L., 3rd, & Fillingim, R. B. (2004). Ethnic differences in pain coping: factor structure of the coping strategies questionnaire and coping strategies questionnaire-revised. The Journal of Pain, 5(6), 304–316. doi:10.1016/j.jpain.2004.05.004.
24. Haythornthwaite, J. A., Menefee, L. A., Heinberg, L. J., & Clark, M. R. (1998). Pain coping strategies predict perceived control over pain. Pain, 77(1), 33–39.
25. Jensen, K. B., Berna, C., Loggia, M. L., Wasan, A. D., Edwards, R. R., & Gollub, R. L. (2012). The use of functional neuroimaging to evaluate psychological and other non-pharmacological treatments for clinical pain. Neuroscience Letters, 520(2), 156–164. doi:10.1016/j.neulet.2012.03.010.
26. Johnston, S., Linden, D. E., Healy, D., Goebel, R., Habes, I., & Boehm, S. G. (2011). Upregulation of emotion areas through neurofeedback with a focus on positive mood. Cognitive, Affective, & Behavioral Neuroscience, 11(1), 44–51. doi:10.3758/s13415-010-0010-1.
27. Kashikar-Zuck, S., Keefe, F. J., Kornguth, P., Beaupre, P., Holzberg, A., & Delong, D. (1997). Pain coping and the pain experience during mammography: a preliminary study. Pain, 73(2), 165–172.
28. Keefe, F. J., Kashikar-Zuck, S., Robinson, E., Salley, A., Beaupre, P., Caldwell, D., et al. (1997). Pain coping strategies that predict patients’ and spouses’ ratings of patients’ self-efficacy. Pain, 73(2), 191–199.
29. Kong, J., Gollub, R. L., Polich, G., Kirsch, I., Laviolette, P., Vangel, M., et al. (2008). A functional magnetic resonance imaging study on the neural mechanisms of hyperalgesic nocebo effect. The Journal of Neuroscience, 28(49), 13354–13362. doi:10.1523/JNEUROSCI.2944-08.2008.
30. Kosslyn, S. M., Ganis, G., & Thompson, W. L. (2001). Neural foundations of imagery. Nature Reviews Neuroscience, 2(9), 635–642. doi:10.1038/35090055.
31. Lawrence, E. J., Su, L., Barker, G. J., Medford, N., Dalton, J., Williams, S. C., et al. (2013). Self-regulation of the anterior insula: reinforcement learning using real-time fMRI neurofeedback. NeuroImage, 88C, 113–124. doi:10.1016/j.neuroimage.2013.10.069.
32. Lee, J. H., Kim, J., & Yoo, S. S. (2012). Real-time fMRI-based neurofeedback reinforces causality of attention networks. Neuroscience Research, 72(4), 347–354. doi:10.1016/j.neures.2012.01.002.
33. Lefebvre, J. C., Lester, N., & Keefe, F. J. (1995). Pain in young adults. II: the use and perceived effectiveness of pain-coping strategies. The Clinical Journal of Pain, 11(1), 36–44.
34. Lester, N., Lefebvre, J. C., & Keefe, F. J. (1996). Pain in young adults--III: relationships of three pain-coping measures to pain and activity interference. The Clinical Journal of Pain, 12(4), 291–300.
35. Lidstone, S. C., & Stoessl, A. J. (2007). Understanding the placebo effect: contributions from neuroimaging. Molecular Imaging and Biology, 9(4), 176–185. doi:10.1007/s11307-007-0086-3.
36. Linden, D. E., Habes, I., Johnston, S. J., Linden, S., Tatineni, R., Subramanian, L., et al. (2012). Real-time self-regulation of emotion networks in patients with depression. PLoS ONE, 7(6), e38115. doi:10.1371/journal.pone.0038115.
37. Ninaus, M., Kober, S. E., Witte, M., Koschutnig, K., Stangl, M., Neuper, C., et al. (2013). Neural substrates of cognitive control under the belief of getting neurofeedback training. Frontiers in Human Neuroscience, 7, 914. doi:10.3389/fnhum.2013.00914.
38. Peyron, R., Laurent, B., & Garcia-Larrea, L. (2000). Functional imaging of brain responses to pain. A review and meta-analysis (2000). Neurophysiologie Clinique, 30(5), 263–288.
39. Rance, M., Ruttorf, M., Nees, F., Schad, L. R., & Flor, H. (2014). Real time fMRI feedback of the anterior cingulate and posterior insular cortex in the processing of pain. Human Brain Mapping. doi:10.1002/hbm.22585.
40. Roditi, D., Robinson, M. E., & Litwins, N. (2009). Effects of coping statements on experimental pain in chronic pain patients. Journal of Pain Research, 2, 109–116.
41. Rodriguez Franco, L., Cano Garcia, F. J., & Blanco Picabia, A. (2004). Assessment of chronic pain coping strategies. Actas Españolas de Psiquiatría, 32(2), 82–91.
42. Rosenstiel, A. K., & Keefe, F. J. (1983). The use of coping strategies in chronic low back pain patients: relationship to patient characteristics and current adjustment. Pain, 17(1), 33–44.
43. Ruiz, S., Lee, S., Soekadar, S. R., Caria, A., Veit, R., Kircher, T., et al. (2013). Acquired self-control of insula cortex modulates emotion recognition and brain network connectivity in schizophrenia. Human Brain Mapping, 34(1), 200–212. doi:10.1002/hbm.21427.
44. Ruscheweyh, R., Albers, C., Kreusch, A., Sommer, J., & Marziniak, M. (2013). The effect of catastrophizing self-statements on pain perception and the nociceptive flexor reflex (RIII reflex). The Clinical Journal of Pain, 29(8), 725–732. doi:10.1097/AJP.0b013e318272ec0c.
45. Salomons, T. V., Johnstone, T., Backonja, M. M., Shackman, A. J., & Davidson, R. J. (2007). Individual differences in the effects of perceived controllability on pain perception: critical role of the prefrontal cortex. Journal of Cognitive Neuroscience, 19(6), 993–1003. doi:10.1162/jocn.2007.19.6.993.
46. Tracey, I. (2005). Nociceptive processing in the human brain. Current Opinion in Neurobiology, 15(4), 478–487. doi:10.1016/j.conb.2005.06.010.
47. Veit, R., Singh, V., Sitaram, R., Caria, A., Rauss, K., & Birbaumer, N. (2012). Using real-time fMRI to learn voluntary regulation of the anterior insula in the presence of threat-related stimuli. Social Cognitive and Affective Neuroscience, 7(6), 623–634. doi:10.1093/scan/nsr061.
48. Verra, M. L., Angst, F., Lehmann, S., & Aeschlimann, A. (2006). Translation, cross-cultural adaptation, reliability, and validity of the German version of the Coping Strategies Questionnaire (CSQ-D). The Journal of Pain, 7(5), 327–336. doi:10.1016/j.jpain.2005.12.005.
49. Weiskopf, N., Veit, R., Erb, M., Mathiak, K., Grodd, W., Goebel, R., et al. (2003). Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data. NeuroImage, 19(3), 577–586.
50. Woby, S. R., Watson, P. J., Roach, N. K., & Urmston, M. (2005). Coping strategy use: does it predict adjustment to chronic back pain after controlling for catastrophic thinking and self-efficacy for pain control? Journal of Rehabilitation Medicine, 37(2), 100–107. doi:10.1080/16501970410021535.