High-resolution Brain Scans Could Improve Concussion Detection
Simon Fraser University researchers have found that high-resolution brain scans, coupled with computational analysis, could play a critical role in helping to detect concussion that conventional scans might miss. In a study, Vasily Vakorin and Sam Doesburg show how magnetoencephalography (MEG), which maps interactions between regions of the brain, could detect greater levels of neural changes than typical clinical imaging tolls such as MRI or CAT scans. Qualified clinicians typically use those tools, along with other self-reporting measures such as headache or fatigue, to diagnose concussion. They also note that related conditions such as mild traumatic brain injury, often associated with football player collisions, do not appear on conventional scans. “Changes in communication between brain areas, as detected by MEG, allowed us to detect concussion from individual scans, in situations where MRI or CT failed,” says Vakorin. The researchers are scientists with the Behavioral and Cognitive Neuroscience Institute based at SFU, and SFU’s ImageTech Lab, a new facility at Surrey Memorial Hospital. Its research-dedicated MEG and MRI scanners make the lab unique in western Canada. The researchers took MEG scans of 41 men between 20-44 years of age. Half had been diagnosed with concussions within the past three months.
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