The Use of Resting State, fMRI and DTI in the Identification of Chronic Pain Conditions
Trial Snapshot
- Phase
- Not Applicable
- Sponsor
- Enrollment
- 40
- Locations
- 1
- Primary Endpoint
- Functional brain connectivity
Study Overview
Brief Summary
Resting state fMRI scans of chronic pain sufferers will be compared to those of healthy normals and may be sufficiently different to allow a high level of classification accuracy of whether subjects have chronic pain. In addition, investigators will utilize DTI and a brief activation state using pain rumination to assess whether investigators can reliably find differences between chronic pain sufferers and healthy normals.
Detailed Description
Resting state fMRI scans of chronic pain sufferers may be sufficiently different from scans of normal subjects to allow a high level of classification accuracy of whether subjects have chronic pain. In addition, investigators will utilize DTI and a brief activation state using pain rumination to assess whether investigators can reliably find differences between chronic pain sufferers and healthy normals. The analysis will use pattern recognition methods in a leave N out cross validation design. The success of the classifications will be the mean of all the validation runs.
Study Design
- Study Type
- Observational
- Observational Model
- Case Control
- Time Perspective
- Prospective
Eligibility Criteria
- Ages
- 20 Years to 70 Years (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •Daily Pain lasting for more than 6 months. Ages eligible for study are between 20 and 70 years.
Exclusion Criteria
- •Adults unable to consent Children, teenagers Pregnant women Prisoners Subjects who do not know English MRI exclusion criteria
Outcomes
Primary Outcomes
Functional brain connectivity
Time Frame: 6 months
Assessed by fMRI
Secondary Outcomes
No secondary outcomes reported