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Abstract #3006

Linear discriminant and principle component analysis of MR spectroscopy data in pediatric mild traumatic brain injury (pmTBI)

Thao T. Tran1, Marie Csete2, Brian D. Ross3, Elizabeth Geesaman4, John Wilkes4, and Dan Buzatu4

1Imaging, Huntington Medical Research Institutes, Pasadena, CA, United States, 2Huntington Medical Research Institutes, Pasadena, CA, United States, 3California Institute of Technology, 4Division of Systems Biology, FDA National Center for Toxicological Research, Jefferson, AR, United States

Pediatric mild traumatic brain injury data is necessary to understanding and predicting recovery of cognitive and psychiatric sequelae as pediatric subjects may take longer to recover than adults. Our study presents MR spectroscopy data acquired in five different brain regions of concussed and non-concussed high school athletes. Data were analyzed utilizing linear discriminant in combination with principal component analysis. Initial results demonstrate reasonable separation of mTBI subjects compared to normal controls. In addition, data from multiple time-points after injury demonstrate a return toward normal pattern and can be used to predict recovery and return-to-play times.

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