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• W2747341096 abstract "Traumatic brain injury (TBI) is an important public health issue. TBI includes a broad spectrum of injury severities and abnormalities. Functional MR imaging (fMR imaging), both resting state (rs) and task, has been used often in research to study the effects of TBI. Although rs-fMR imaging is not currently applicable in clinical diagnosis of TBI, computer-aided tools are making this a possibility for the future. Specifically, graph theory is being used to study the change in networks after TBI. Machine learning methods allow researchers to build models capable of predicting injury severity and recovery trajectories." @default.
• W2747341096 created "2017-08-31" @default.
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• W2747341096 date "2017-11-01" @default.
• W2747341096 modified "2023-10-11" @default.
• W2747341096 title "Applications of Resting State Functional MR Imaging to Traumatic Brain Injury" @default.
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• W2747341096 doi "https://doi.org/10.1016/j.nic.2017.06.006" @default.
• W2747341096 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5708891" @default.
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