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Neuroimaging Clin N Am. 2017 Nov;27(4):685-696. doi: 10.1016/j.nic.2017.06.006. Epub 2017 Aug 18.

Applications of Resting State Functional MR Imaging to Traumatic Brain Injury.

Author information

1
Radiology, University of Texas Southwestern, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA.
2
Radiology, University of Texas Southwestern, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA. Electronic address: joseph.maldjian@utsouthwestern.edu.

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.

KEYWORDS:

BOLD; Graph theory; Machine learning; Magnetoencephalography; Resting state; TBI; fMR imaging

PMID:
28985937
PMCID:
PMC5708891
DOI:
10.1016/j.nic.2017.06.006
[Indexed for MEDLINE]
Free PMC Article

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