Chronic Pain
Conditions
Keywords
Chronic Pain, fMRI, DTI
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.
Interventions
None listed
Sponsors
State University of New York at Buffalo
Brain Scan Inc.
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
20 Years to 70 Years
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Functional brain connectivity | 6 months | Assessed by fMRI |
Countries
United States
Contacts
Primary ContactDavid S Wack, Ph.D.
Backup ContactDavid T Corey, Ph.D.
Outcome results
None listed