Applications of Resting State Functional MR Imaging to Traumatic Brain Injury

Thomas O'Neill, Elizabeth M. Davenport, Gowtham Murugesan, Albert Montillo, Joseph A Maldjian

Research output: Contribution to journalReview article

1 Citation (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)685-696
Number of pages12
JournalNeuroimaging Clinics of North America
Volume27
Issue number4
DOIs
StatePublished - Nov 1 2017

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Wounds and Injuries
Public Health
Research Personnel
Traumatic Brain Injury
Research
Machine Learning

Keywords

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

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology

Cite this

Applications of Resting State Functional MR Imaging to Traumatic Brain Injury. / O'Neill, Thomas; Davenport, Elizabeth M.; Murugesan, Gowtham; Montillo, Albert; Maldjian, Joseph A.

In: Neuroimaging Clinics of North America, Vol. 27, No. 4, 01.11.2017, p. 685-696.

Research output: Contribution to journalReview article

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