This project is designed to investigate the neural mechanisms of placebo analgesia. An innovative placebo protocol that assesses the placebo response to both visceral and cutaneous pain stimulation will be employed. Functional Magnetic Resonance Imaging (fMRI) will enable the characterization of brain mechanisms involved in placebo analgesia in a clinical population which experiences visceral pain as part of their clinical syndrome. This project will capitalize on previous work with Irritable Bowel Syndrome (IBS) patients where differential brain activation was demonstrated to visceral and cutaneous pain stimuli. In this same population a powerful and reliable placebo response to specific expectancy response sets has been demonstrated. The proposed project will combine these protocols to obtain brain images of IBS subject during natural history, placebo, and active agent (rectal lidocaine) conditions. It is anticipated that results will show that the placebo response will selectively activate specific brain regions. Neural activity (as measured by rCBF) will be greater in natural history conditions as compared to placebo conditions in the following brain regions: - lateral and/or medial thalamus, somatosensory areas 1 and 2, insular cortex, anterior cingulate cortex (ACC), posterior cingulate cortex (PCC), and prefrontal cortex. Furthermore, placebo mechanisms that operate primarily through attenuation of nociceptive signals at lower nervous system levels (spinal cord) will be evidenced by decreased thalamic, somatosensory, ACC, and PCC activation. Previous research indicates that expectancy and desire for pain relief will significantly predict the pain reduction from placebo. It is anticipated that these measures will also be associated with the above described brain activation patterns. By comparing the placebo conditions to the rectal lidocaine condition, brain and central nervous system related mechanisms versus peripheral (receptor site) related mechanisms will be differentiated.

Agency
National Institute of Health (NIH)
Institute
National Center for Complementary & Alternative Medicine (NCCAM)
Type
Research Project (R01)
Project #
5R01AT001424-04
Application #
6984808
Study Section
Special Emphasis Panel (ZRG1-EDC-1 (03))
Program Officer
Stoney, Catherine
Project Start
2003-03-15
Project End
2007-12-31
Budget Start
2006-01-01
Budget End
2007-12-31
Support Year
4
Fiscal Year
2006
Total Cost
$308,305
Indirect Cost
Name
University of Florida
Department
Other Health Professions
Type
Schools of Public Health
DUNS #
969663814
City
Gainesville
State
FL
Country
United States
Zip Code
32611
Letzen, Janelle E; Robinson, Michael E (2017) Negative mood influences default mode network functional connectivity in patients with chronic low back pain: implications for functional neuroimaging biomarkers. Pain 158:48-57
Wager, Tor D; Woo, Choong-Wan (2016) Reply. Pain 157:1576-7
Letzen, Janelle E; Boissoneault, Jeff; Sevel, Landrew S et al. (2016) Test-retest reliability of pain-related functional brain connectivity compared with pain self-report. Pain 157:546-51
Kisaalita, Nkaku R; Hurley, Robert W; Staud, Roland et al. (2016) Placebo Use in Pain Management: A Mechanism-Based Educational Intervention Enhances Placebo Treatment Acceptability. J Pain 17:257-69
Robinson, Michael; Boissoneault, Jeff; Sevel, Landrew et al. (2016) The Effect of Base Rate on the Predictive Value of Brain Biomarkers. J Pain 17:637-41
Sevel, Landrew S; Letzen, Janelle E; Staud, Roland et al. (2016) Interhemispheric Dorsolateral Prefrontal Cortex Connectivity is Associated with Individual Differences in Pain Sensitivity in Healthy Controls. Brain Connect 6:357-64
Letzen, Janelle E; Boissoneault, Jeff; Sevel, Landrew S et al. (2016) What reliability can and cannot tell us about pain report and pain neuroimaging. Pain 157:1575-6
Sevel, Landrew S; Craggs, Jason G; Price, Donald D et al. (2015) Placebo analgesia enhances descending pain-related effective connectivity: a dynamic causal modeling study of endogenous pain modulation. J Pain 16:760-8
Sevel, Landrew S; O'Shea, Andrew M; Letzen, Janelle E et al. (2015) Effective connectivity predicts future placebo analgesic response: A dynamic causal modeling study of pain processing in healthy controls. Neuroimage 110:87-94
Robinson, Michael E; O'Shea, Andrew M; Craggs, Jason G et al. (2015) Comparison of machine classification algorithms for fibromyalgia: neuroimages versus self-report. J Pain 16:472-7

Showing the most recent 10 out of 34 publications