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 articlepeer-review

14 Scopus citations


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
Issue number4
StatePublished - Nov 2017


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

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology


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