University of Florida
Gainesville, Florida, 32611, United States
NCT Number: NCT01409538
This study examines the brain activation associated with placebo pain reduction.
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Notify Me18 year and older
All sexes
Interventional
Phase 1
Gainesville, Florida, 32611, United States
This study is a basic science study of the mechanisms of placebo analgesia in asymptomatic healthy individuals. Each participant receives a baseline pain testing session, followed by a conditioning paradigm that results in expectation of pain relief and conditioning. They then undergo functional magnetic resonance imaging during either placebo (conditioned analgesia) or baseline. To examine order effects and habituation, the participants also either undergo a repeated placebo or a repeated baseline. The primary dependent measures in the study are the fMRI determined regions of interest, in a network of brain areas associated with pain processing. The anticipated outcome of the study is the alteration of network connectivity between sensory, affective, evaluative areas of the brain associated with placebo.
Because this is not a traditional clinical trial, there are not traditional efficacy criteria, rather the outcomes are changes in brain function from manipulations of patient expectation and classical conditioning.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
There is no intervention in this study. It is not a Clinical Trial. The study is an investigation of the neural basis of placebo analgesia.
This protocol represents an investigation of the neural mechanisms of placebo analgesia. As such, it does not represent the traditional clinical trial design. Instead the "active" intervention is a placebo, and the comparison condition is a no-intervention control.
Time frame: 2 weeks from baseline
This outcomes represents the neural network underpinnings of the placebo analgesic response. It is the result of a network analysis using structural equation modeling of fMRI determined brain activations.
University of Florida
Other
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