Comput Math Methods Med - Tract-based Bayesian multivariate analysis of mild traumatic brain injury.

Tópicos

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Resumo

RPOSE: Detecting brain regions characterizing mild traumatic brain injury (mTBI) by combining Tract-Based Spatial Statistics (TBSS) and Graphical-model-based Multivariate Analysis (GAMMA).MATERIALS AND METHODS: This study included 39 mTBI patients and 28 normal controls. Local research ethics committee approved this prospective study. Diffusion-tensor imaging was performed in mTBI patients within 7 days of injury. Skeletonized fractional anisotropy (FA) maps were generated by using TBSS. Brain regions characterizing mTBI were detected by GAMMA.RESULTS: Two clusters of lower frontal white matter FA were present in mTBI patients. We constructed classifiers based on FA values in these two clusters to differentiate mTBI and controls. The mean accuracy, sensitivity, and specificity, across five different classifiers, were 0.80, 0.94, and 0.61, respectively.CONCLUSIONS: Combining TBSS and GAMMA can detect neuroimaging biomarkers characterizing mTBI.

Resumo Limpo

rpose detect brain region character mild traumat brain injuri mtbi combin tractbas spatial statist tbss graphicalmodelbas multivari analysi gammamateri method studi includ mtbi patient normal control local research ethic committe approv prospect studi diffusiontensor imag perform mtbi patient within day injuri skeleton fraction anisotropi fa map generat use tbss brain region character mtbi detect gammaresult two cluster lower frontal white matter fa present mtbi patient construct classifi base fa valu two cluster differenti mtbi control mean accuraci sensit specif across five differ classifi respectivelyconclus combin tbss gamma can detect neuroimag biomark character mtbi

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