Understanding Light's Effect on Pain
This study aims to understand how different types of light can affect pain. Researchers are looking at how specific colored lights, including S-cone modulating visual stimulus (a light that appears white but targets certain cells in your eye), Equal Energy White Visual Stimulus, and Green light visual stimulus, change brain activity in people with chronic musculoskeletal pain (cMSP) and healthy volunteers. You would undergo MRI scans while experiencing these lights and a mild pressure pain stimulus. The study will measure brain activity patterns to see how light influences pain signals. The goal is to uncover the biological reasons why light might help relieve pain. This study is currently recruiting 60 participants, including those with cMSP and healthy controls.
- Study design
- This interventional study plans to enroll 60 participants, including 30 with chronic musculoskeletal pain and 30 healthy controls. It is not specified if the study is randomized or blinded.
- What's involved
- You would undergo a comprehensive assessment, quantitative sensory testing, and MRI scanning sessions lasting about one hour each. During the MRI, you will experience different light stimuli and a pressure pain stimulus on your calf.
- Compensation
- Not stated in the trial record.
- Follow-up
- Pain assessments will be performed briefly after each scan block during the ~1 hour scanning session. The primary endpoints are measured during the scanning sessions.
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Neural Mechanisms of Light Driven Analgesia
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Matthew Mauck, MD, PhD · PRINCIPAL_INVESTIGATOR · University of North Carolina, Chapel Hill
Who to contact
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Inclusion
Exclusion
What this trial measures
- Resting State Functional Connectivity-seed Voxel Analysis in Participants with cMSP and Healthy ControlsDuring 8 minute resting state scan as part of the ~1 hour scanning session
Functional connectivity assessed under three lighting conditions will be assessed with a seed voxel analysis with the seed region of interest set as the pregeniculate nucleus. A map of connectivity will be generated and displayed over inflated brain space. This map will be constructed by calculating the Fisher-transformed correlation coefficients between each voxel with the BOLD times series for the Pregeniculate nucleus. The higher the correlation coefficient, the stronger connectivity of each voxel to the pregeniculate. The correlation coefficient will be plotted as an map.
- Whole Brain Evoked Activation Patterns in Response to Chromatic Stimuli Contrasted with Achromatic Stimuli in Participants with cMSP and Healthy ControlsDuring 6 minute functional imaging scan within the ~1 hour scanning protocol
A generalized linear model (GLM) using Statistical Parametric Mapping (SPM) version 12 will be constructed. Blood oxygenation level dependent (BOLD) activation signal time series collected under the dynamic S-cone modulating stimulus condition will be contrasted to those collected during the equal energy stimulus condition. SPM will be used to create a contrast vector between the two conditions and a T-map will be created where the T-statistic for the contrast at each voxel will be plotted. The larger the t-statistic for each voxel the larger the contrast between the two light conditions.
- Whole Brain Evoked Activation Patterns in Response to Chromatic Stimuli Contrasted with Achromatic Stimuli in Patients with cMSP and Healthy Controls Exposed to a Pressure Pain StimulusDuring 6 minute functional imaging scan within the 1 hour scanning protocol
A generalized linear model (GLM) using Statistical Parametric Mapping (SPM) version 12 will be constructed. Blood oxygenation level dependent (BOLD) activation signal time series collected under the dynamic S-cone modulating stimulus condition will be contrasted to those collected during the equal energy stimulus condition in context of an evoked pressure pain stimulus. SPM will be used to create a contrast vector between the two conditions and a T-map will be created where the T-statistic for the contrast at each voxel will be plotted. The larger the t-statistic for each voxel the larger the contrast between the two light conditions.