Decompressive surgery to relieve symptoms of spinal cord compression due to dysfunction, such as arthritis, has proved variable in success. Past research has reported that approximately one-third of surgery patients improved, one-third remained the same and one-third worsened. Currently, there are no reliable tests that can predict the outcome following surgery. We are hoping that this study will change that. Using functional MRI (fMRI), we wish to investigate the relationship between clinical symptoms and the recovery of brain activation following surgery. One can also track the concentrations of different chemicals (metabolites) by using magnetic resonance spectroscopy (MRS). We hypothesize that the recovery of normal brain activation patterns will coincide with clinical improvement. Our objective in this study is to explore the potential role of fMRI as a tool to prognose patients with cervical myelopathy. Twenty-five patients with cervical myelopathy will be imaged using a high-powered (3 Tesla) fMRI scanner before and six months following surgery. In addition, ten healthy controls will be imaged to provide a baseline measure. Both the patient and control groups will complete questionnaires at the time of their scans. These will provide information concerning the subjective experience of the individuals throughout recovery. We will compare brain activation patterns of control and patient groups to investigate how the brain heals following decompressive surgery.
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Measure the volume of activation and signal intensity using fMRI and MRS.
Timeframe: 2 scans 6 months apart