A group of American and Chinese researchers reported an objective way to diagnose migraine headaches using functional magnetic resonance imaging (fMRI). The paper just published in Neurology used machine learning to examine differences between the brains of migraine sufferers, patients with chronic pain, and healthy controls.
MRI scans of migraine patients typically show normal brain structure. fMRI scans can visualize connections between different parts of the brain, or so-called connectome. The researchers discovered abnormal functional connectivity within the visual, default mode, sensorimotor, and frontal-parietal networks that allowed them to distinguish migraineurs from healthy controls with 93% sensitivity and 89% specificity. They verified the specificity of this diagnostic marker with new groups of migraineurs and patients with other chronic pain disorders (chronic low back pain and fibromyalgia) and demonstrated 78% sensitivity and 76% specificity for discriminating migraineurs from nonmigraineurs. They also found that the changes in the marker correlated with the changes in headache frequency in response to real acupuncture.
If confirmed, these findings could offer a very accurate way to diagnose migraine, rather than relying on subjective clinical description. This test could also allow for an objective way to test various new treatments. Because of the cost of fMRIs, it will be a long time before it becomes a routine clinical test. It is also possible that genetic testing and testing of blood samples for biochemical markers will lead to other accurate diagnostic tests and tests to predict responses to various therapies.
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