{"id":81,"date":"2016-07-21T00:19:00","date_gmt":"2016-07-21T00:19:00","guid":{"rendered":"http:\/\/davidchangspine.com\/?p=81"},"modified":"2023-09-19T15:09:31","modified_gmt":"2023-09-19T15:09:31","slug":"neuroimaging-could-help-assess-recovery-likelihood-after-tbi","status":"publish","type":"post","link":"https:\/\/davidchangspine.com\/neuroimaging-could-help-assess-recovery-likelihood-after-tbi\/","title":{"rendered":"Neuroimaging Could Help Assess Recovery Likelihood After TBI"},"content":{"rendered":"\n

Neuroimaging allows us to see inside the human brain, and researchers say the technique and a new understanding of certain biomarkers may help predict which patients have a better chance of recovery after a mild traumatic brain injury<\/a>.<\/p>\n\n\n\n

The findings suggest that patients with abnormally high fractional anisotropy (FA), as viewed on diffuse tensor imaging (DTI) at the time of their injury, were more likely to have a better recovery outcome. Now that last sentence was filled with some technical medical language, but we\u2019ll do our best to help explain what it all means. Fractional anisotropy is a measure of microstructural organization, in that is allows us to better understand structural connectivity in the brain.<\/p>\n\n\n\n

\u201cIt\u2019s a feature of what is sometimes called structural connectivity, but it per se does not really speak to the functionality of the connection but speaks to the presence of normally structured white matter,\u201d said Dr. Michael Lipton, lead author of the study.\u201d<\/p>\n\n\n\n

For their research, scientists examined brain activity and biomarkers in 39 adult patients evaluated at an emergency department and diagnosed with a concussion within 48 hours of injury. They also took the same data from 40 healthy and non-concussed volunteers. Researchers examined nine white matter regions in the brain known to be susceptible to mild traumatic brain injuries and\/or linked to functions associated with mild TBI morbidity. These locations included the:<\/p>\n\n\n\n