Brain scan predicts effectiveness of spinal cord surgery, reveals research
A 10-minute brain scan can predict the effectiveness of a risky spinal surgery to alleviate intractable pain. The Kobe University result gives doctors a much-needed biomarker to discuss with patients considering spinal cord stimulation.
For patients with chronic pain that cannot be cured in any other way, a surgical procedure called “spinal cord stimulation” is seen as a method of last resort. The treatment works by implanting leads into the spine of patients and electrically stimulating the spinal cord. Because the spinal cord transmits sensations to the brain from all over the body, the position of the leads is adjusted so that the patients feel the stimulation at the site of the pain. The Kobe University anesthesiologist UENO Kyohei says: “A big issue is that the procedure is effective for some but not for other patients, and which is the case is usually evaluated in a short trial of a few days to two weeks prior to permanent implantation. Although this trial is short, it is still an invasive and risky procedure. Therefore, clinicians have long been interested in the possibility of predicting a patient’s responsiveness to the procedure through non-invasive means.”
Functional magnetic resonance imaging, or fMRI, has become a standard tool to visualize how the brain processes information. More precisely, it can show which parts of the brain are active in response to a stimulus, and which regions are thus functionally connected with each other. “In an earlier study, we reported that for the analgesic ketamine, pain relief correlates negatively with how strongly connected two regions of the default mode network are before the drug’s administration,” explains Ueno. The default mode network, which plays an important role in self-related thought, has previously been implicated in chronic pain. Another relevant factor is how the default mode network connects with the salience network, which is involved in regulating attention and the response to stimuli. Ueno says, “Therefore, we wanted to examine whether the correlation of the activities within and between these networks could be used to predict responsiveness to spinal cord stimulation.”
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