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Recent evidence suggests that chronic pain is associated with abnormal connectivity between brain regions associated with the processing of pain. We aim to test the diagnostic power of resting state functional magnetic resonance imaging (MRI) to diagnose patients with chronic back pain. Using new methods of image acquisition and analysis we aim to develop a computational method to correctly classify patients and matched control subjects.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Chronic back pain | Adults, >6months duration | ||
| Control | Age and sex matched controls |
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| Measure | Description | Time Frame |
|---|---|---|
| Functional brain connectivity | Assessed by fMRI | 6 months |
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Inclusion Criteria:
Exclusion Criteria:
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Adults with >6 months of mechanical lower back pain, not sue to any major systemic disease
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| Name | Affiliation | Role |
|---|---|---|
| Ben Seymour, MRCP PhD | University of Cambridge | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Addenbrookes Hospital | Cambridge | CB2 0QQ | United Kingdom |
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