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MEG Is An Efficient Way Of Detecting Concussion

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Researchers from Simon Fraser University have shown that magnetoencephalography (MEG), a high-resolution scan of the brain, along with computational analysis, might play a vital role in detecting concussions that can be missed by regular scans.

In a recently published study, Vasily Vakorin and Sam Doesburg demonstrate how magnetoencephalography (MEG), which plots relations between the brain regions, might identify higher levels of the changes in neurons than usual clinical scans like MRI or CAT.

To diagnose concussion, clinical practitioners commonly use those tools, together with self-reporting indications like fatigue or headache. They also remarked that associated conditions like mild traumatic brain injury usually found in collisions of football player, don't show on traditional scans.

Vakorin says, Changes in interaction between brain regions as recorded by MEG, helped us to identify concussion from single scans, when CT or MRI scans couldn't detect.

Concussion Detection With MEG

The researchers scanned 41 men aged from 20 to 44. Within the past three months, half of them had been diagnosed with concussions.

They observed that concussions were connected with changes in communications between various areas of the brain. There were noticeable alterations in how the brain areas interact with each other.

The researchers mentioned that MEG provides a novel combination of good temporal and spatial resolution for understanding activities of the brain and for improved concussion diagnosis when other traditional methods could not be efficient.

Association between severity of the symptom and MEG- based grouping also demonstrated that these scans can offer essential measurements of brain changes throughout recovery of concussion.

The researchers look forward to improve their perception of specific changes in neurons connected with concussions to further enhance detection, treatment and process of recovery.