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A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury

Brain Imaging and Behavior volume 6, pages 137–192 (2012)Cite this article

Abstract

Mild traumatic brain injury (mTBI), also referred to as concussion, remains a controversial diagnosis because the brain often appears quite normal on conventional computed tomography (CT) and magnetic resonance imaging (MRI) scans. Such conventional tools, however, do not adequately depict brain injury in mTBI because they are not sensitive to detecting diffuse axonal injuries (DAI), also described as traumatic axonal injuries (TAI), the major brain injuries in mTBI. Furthermore, for the 15 to 30 % of those diagnosed with mTBI on the basis of cognitive and clinical symptoms, i.e., the “miserable minority,” the cognitive and physical symptoms do not resolve following the first 3 months post-injury. Instead, they persist, and in some cases lead to long-term disability. The explanation given for these chronic symptoms, i.e., postconcussive syndrome, particularly in cases where there is no discernible radiological evidence for brain injury, has led some to posit a psychogenic origin. Such attributions are made all the easier since both posttraumatic stress disorder (PTSD) and depression are frequently co-morbid with mTBI. The challenge is thus to use neuroimaging tools that are sensitive to DAI/TAI, such as diffusion tensor imaging (DTI), in order to detect brain injuries in mTBI. Of note here, recent advances in neuroimaging techniques, such as DTI, make it possible to characterize better extant brain abnormalities in mTBI. These advances may lead to the development of biomarkers of injury, as well as to staging of reorganization and reversal of white matter changes following injury, and to the ability to track and to characterize changes in brain injury over time. Such tools will likely be used in future research to evaluate treatment efficacy, given their enhanced sensitivity to alterations in the brain. In this article we review the incidence of mTBI and the importance of characterizing this patient population using objective radiological measures. Evidence is presented for detecting brain abnormalities in mTBI based on studies that use advanced neuroimaging techniques. Taken together, these findings suggest that more sensitive neuroimaging tools improve the detection of brain abnormalities (i.e., diagnosis) in mTBI. These tools will likely also provide important information relevant to outcome (prognosis), as well as play an important role in longitudinal studies that are needed to understand the dynamic nature of brain injury in mTBI. Additionally, summary tables of MRI and DTI findings are included. We believe that the enhanced sensitivity of newer and more advanced neuroimaging techniques for identifying areas of brain damage in mTBI will be important for documenting the biological basis of postconcussive symptoms, which are likely associated with subtle brain alterations, alterations that have heretofore gone undetected due to the lack of sensitivity of earlier neuroimaging techniques. Nonetheless, it is noteworthy to point out that detecting brain abnormalities in mTBI does not mean that other disorders of a more psychogenic origin are not co-morbid with mTBI and equally important to treat. They arguably are. The controversy of psychogenic versus physiogenic, however, is not productive because the psychogenic view does not carefully consider the limitations of conventional neuroimaging techniques in detecting subtle brain injuries in mTBI, and the physiogenic view does not carefully consider the fact that PTSD and depression, and other co-morbid conditions, may be present in those suffering from mTBI. Finally, we end with a discussion of future directions in research that will lead to the improved care of patients diagnosed with mTBI.

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References

  • Adams, J. H., Doyle, D., et al. (1989). Diffuse axonal injury in head injury: definition, diagnosis, and grading. Histopathology, 15, 49–59.

    Article  PubMed  CAS  Google Scholar 

  • Alexander, M. P. (1995). Mild TBI: pathophysiology, natural history, and clinical management. Neurology, 45(7), 253–260.

    Article  Google Scholar 

  • Anderson, A. (2005). Measurement of fiber orientation distributions using high angular resolution diffusion imaging. Magnetic Resonance in Medicine, 54(5), 1194–1206.

    Article  PubMed  Google Scholar 

  • Anderson, C. V., Bigler, E. D., et al. (1995). Frontal lobe lesions, diffuse damage, and neuropsychological functioning in traumatic brain-injured patients. Journal of Clinical and Experimental Neuropsychology, 17, 900–908.

    Article  PubMed  CAS  Google Scholar 

  • Anderson, C. V., Wood, D. M., et al. (1996). Lesion volume, injury severity, and thalamic integrity following head injury. Journal of Neurotrauma, 13(2), 59–65.

    Article  PubMed  CAS  Google Scholar 

  • Arciniegas, D. B., Anderson, C. A., et al. (2005). Mild traumatic brain injury: a neuropsychiatric approach to diagnosis, evaluation, and treatment. Neuropsychiatric Disease and Treatment, 1, 311–327.

    PubMed  Google Scholar 

  • Arfanakis, K., Haughton, V. M., et al. (2002). Diffusion tensor MR imaging in diffuse axonal injury. AJNR. American Journal of Neuroradiology, 23(5), 794–802.

    PubMed  Google Scholar 

  • Ashwal, S., Holshouser, B. A., et al. (2006). Use of advanced neuroimaging techniques in the evaluation of pediatric traumatic brain injury. Developmental Neuroscience, 28, 309–326.

    Article  PubMed  CAS  Google Scholar 

  • Assaf, Y., & Pasternak, O. (2008). Diffusion tensor imaging (DTI)-based white matter mapping in brain research: a review. Journal of Molecular Neuroscience, 34(1), 51–61.

    Article  PubMed  CAS  Google Scholar 

  • Assaf, Y., Ben-Bashat, D., et al. (2002). High b-value q-space analyzed diffusion-weighted MRI: application to multiple sclerosis. Magnetic Resonance in Medicine, 47(1), 115–126.

    Article  PubMed  CAS  Google Scholar 

  • Assaf, Y., Chapman, J., Ben-Bashat, D., et al. (2005). White matter changes in multiple sclerosis: correlation of q-space diffusion MRI and 1-H MRS. Magnetic Resonance Imaging, 23(6), 703–710.

    Article  PubMed  CAS  Google Scholar 

  • Babikian, T., Freier, M. C., et al. (2005). Susceptibility weighted imaging: neuropsychologic outcome and pediatric head injury. Pediatric Neurology, 33(3), 184–194.

    Article  PubMed  Google Scholar 

  • Babikian, T., Freier, M. C., et al. (2006). MR spectroscopy: predicting long-term neuropsychological outcome following pediatric TBI. Journal of Magnetic Resonance Imaging, 24, 801–811.

    Article  PubMed  Google Scholar 

  • Barkhoudarian, G., Houda, D. A., et al. (2011). The molecular pathophysiology of concussive brain injury. Clinics in Sports Medicine, 30, 33–48.

    Article  PubMed  Google Scholar 

  • Barmpoutis, A., Hwang, M. S., Howland, D., et al. (2009). Regularized positive-definite fourth order tensor field estimation from DW-MRI. NeuroImage, 45(1), S153–S162.

    Article  PubMed  Google Scholar 

  • Basser, P. J., Mattiello, J., et al. (1994). MR diffusion tensor spectroscopy and imaging. Biophysical Journal, 66(1), 259–267.

    Article  PubMed  CAS  Google Scholar 

  • Basser, P. J., Pajevic, S., Pierpaoli, C., et al. (2000). In vivo fiber tractography using DT–MRI data. Magnetic Resonance in Medicine, 44, 625–632.

    Article  PubMed  CAS  Google Scholar 

  • Bazarian, J. J., Wong, T., et al. (1999). Epidemiology and predictors of post-concussive syndrome after minor head injury in an emergency population. Brain Injury, 13(3), 173–189.

    Article  PubMed  CAS  Google Scholar 

  • Bazarian, J. J., Blyth, B., et al. (2006). Bench to bedside: evidence for brain injury after concussion–looking beyond the computed tomography scan. Academic Emergency Medicine, 13(2), 199–214.

    PubMed  Google Scholar 

  • Bazarian, J. J., Zhong, J., et al. (2007). DTI detects clinically important axonal damage after mild TBI: a pilot study. Journal of Neurotrauma, 24(9), 1447–1459.

    Article  PubMed  Google Scholar 

  • Bazarian, J. J.,& Zhu, T., et al. (2011). Subject-specific changes in brain white matter on diffusion tensor imaging after sports-related concussion. Magnetic Resonance Imaging. Nov 11. [Epub ahead of print]

  • Behrens, T., Woolrich, M., Jenkinson, M., et al. (2003). Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magnetic Resonance in Medicine, 50, 1077–1088.

    Article  PubMed  CAS  Google Scholar 

  • Belanger, H. G., Vanderploeg, R. D., et al. (2007). Recent neuroimaging techniques in mild traumatic brain injury. The Journal of Neuropsychiatry and Clinical Neurosciences, 19(1), 5–20.

    Article  PubMed  Google Scholar 

  • Belanger, H. D., Kretzmer, T., et al. (2009). Symptom complaints following combat-related traumatic brain injury: Relationship to traumatic brain injury severity and posttraumatic stress disorder. Journal of the International Neuropsychological Society, 16, 194–199.

    Article  PubMed  Google Scholar 

  • Bell, R. S., & Loop, J. W. (1971). The utility and futility of radiographic skull examination for trauma. The New England Journal of Medicine, 284(5), 236–239.

    Article  PubMed  CAS  Google Scholar 

  • Benson, R. R., Meda, S. A., et al. (2007). Global white matter analysis of diffusion tensor images is predictive of injury severity in TBI. Journal of Neurotrauma, 24(3), 446–459.

    Article  PubMed  Google Scholar 

  • Bergeson, A. G., Lundin, R., et al. (2004). Clinical rating of cortical atrophy and cognitive correlates following traumatic brain injury. Clinical Neuropsychology, 18(4), 509–520.

    Article  Google Scholar 

  • Bigler, E. D. (2004). Neuropsychological results and neuropathological findings at autopsy in a case of mild traumatic brain injury. Journal of the International Neuropsychological Society, 10(5), 794–800.

    Article  PubMed  Google Scholar 

  • Bigler, E. D. (2008). Neuropsychology and clinical neuroscience of persistent post-concussive syndrome. Journal of the International Neuropsychological Society, 14(1), 1–22.

    Article  PubMed  Google Scholar 

  • Bigler, E. D., Blatter, D. D., et al. (1997). Hippocampal volume in normal aging and traumatic brain injury. AJNR. American Journal of Neuroradiology, 18(1), 11–23.

    PubMed  CAS  Google Scholar 

  • Bjornemo, M., Brun, A., Kikinis, R., & Westin, C.-F. (2002). Regularized stochasticwhite matter tractography using diffusion tensor MRI. Medical Image Computing and Computer Assisted Intervention (MICCAI), 435–442.

  • Blumbergs, P. C., Scott, G., et al. (1994). Staining of amyloid precursor protein to study axonal damage in mild head injury. Lancet, 344(8929), 1055–1056.

    Article  PubMed  CAS  Google Scholar 

  • Bouix, S., Pelavin, P., et al. (2011). Diagnosis of diffuse axonal injury with diffusion tensor imaging. The 3rd Federal Interagency Conference on TBI, Washington DC.

  • Brandstack, N., Kurki, T., et al. (2011). Diffusivity of normal-appearing tissue in acute traumatic brain injury. Clinical Neuroradiology, 21(2), 75–82.

    Article  PubMed  CAS  Google Scholar 

  • Brooks, W. M., Friedman, S. D., et al. (2001). Magnetic resonance spectroscopy in TBI. The Journal of Head Trauma Rehabilitation, 16(2), 149–164.

    Article  PubMed  CAS  Google Scholar 

  • Bruns, J. J., & Jagoda, A. (2009). Mild traumatic brain injury. The Mount Sinai Journal of Medicine, 76, 129–137.

    Article  Google Scholar 

  • Budde, M. D., Kim, J. H., et al. (2007). Toward accurate diagnosis of white matter pathology using diffusion tensor imaging. Magnetic Resonance in Medicine, 57(4), 688–695.

    Article  PubMed  Google Scholar 

  • Budde, M. D., Janes, L., et al. (2011). The contribution of gliosis to diffusion tensor anisotropy and tractography following traumatic brain injury: validation in the rat using Fourier analysis of stained tissue sections. Brain, 134(8), 2248–2260.

    Article  PubMed  Google Scholar 

  • Carroll, L. J., Cassidy, J. D., et al. (2004a). Prognosis for mild traumatic brain injury: results of the WHO collaborating centre task force on mild traumatic brain injury. Journal of Rehabilitation Medicine, 43(Suppl.), 84–105.

    Article  PubMed  Google Scholar 

  • Carroll, L. J., Cassidy, J. D., et al. (2004b). Systematic search and review procedures: results of the WHO collaborating centre task force on mild traumatic brain injury. Journal of Rehabilitation Medicine, 43(Suppl.), 11–14.

    Article  PubMed  Google Scholar 

  • CDC (2010). Injury, prevention, & control: traumatic brain injury. Center for Disease Control and Prevention. http://www.cdc.gov/traumaticbraininjury/statistics.html

  • Cecil, K. M., Hills, E. C., Sandel, M. E., et al. (1998). Proton magnetic resonance spectroscopy for detection of axonal injury in the splenium of the corpus callosum of brain-injured patients. Journal of Neurosurgery, 88(5), 795–801.

    Article  PubMed  CAS  Google Scholar 

  • Cheung, M. M., Hui, E. S., et al. (2009). Does diffusion kurtosis imaging lead to better neural tissue characterization? A rodent brain maturation study. NeuroImage, 45(2), 386–392. doi:10.1016/j.neuroimage2008.12.018.

  • Ciccarelli, O., Catani, M., Johansen-Berg, H., et al. (2008). Diffusion-based tractography in neurological disorders: concepts, applications, and future developments. Lancet Neurology, 7, 715–727.

    Article  PubMed  Google Scholar 

  • Cohen, B. A., Inglese, M., et al. (2007). Proton MR spectroscopy and MRI-volumetry in mild traumatic brain injury. AJNR. American Journal of Neuroradiology, 28(5), 907–913.

    PubMed  CAS  Google Scholar 

  • Coles, J. P. (2007). Imaging after brain injury. British Journal of Anaesthesia, 99(1), 49–60.

    Article  PubMed  CAS  Google Scholar 

  • Conturo, T. E., Lori, N. F., Cull, T. S., et al. (1999). Tracking neuronal fiber pathways in the living human brain. Neurobiology, 96, 10422–10427.

    CAS  Google Scholar 

  • Cubon, V. A., & Putukian, M. (2011). A diffusion tensor imaging study on the white matter skeleton in individuals with sports-related concussion. Journal of Neurotrauma, 28(2), 189–201.

    Article  PubMed  Google Scholar 

  • Davenport, N. D., Lim, K. O., et al. (2011). Diffuse and sptially variable white matter disruptions are associated with blast-related mild traumatic brain injury. Neuroimage. Oct 20. [Epub ahead of print]

  • Delmarcelle, T., & Hesselink, L. (1992). Visualization of second order tensor fields and matrix data. Proceedings IEEE Visualization, 316–323.

  • Ding, K., Marquez de Plata, C., et al. (2008). Cerebral atrophy after traumatic white matter injury: correlation with acute neuroimaging and outcome. Journal of Neurotrauma, 25, 1433–1440.

    Article  PubMed  Google Scholar 

  • Duhaime, A. C., Gean, A. D., et al. (2010). Common data elements in radiologic imaging of traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 91(11), 1661–1666.

    Article  PubMed  Google Scholar 

  • Eisenberg, H. M., & Levin, H. S. (1989). Computed tomography and magnetic resonance imaging in mild to moderate head injury. In H. S. Levin, H. M. Eisenberg, & A. L. Benton (Eds.), Mild head injury (pp. 133–141). NY: Oxford University Press.

    Google Scholar 

  • Ennis, D. B., & Kindlmann, G. (2006). Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images. Magnetic Resonance in Medicine, 55(1), 136–146.

    Article  PubMed  Google Scholar 

  • Fan, J., McCandliss, B. D., et al. (2005). The activation of attentional networks. NeuroImage, 26(2), 471–479.

    Article  PubMed  Google Scholar 

  • Faul, M. D., Xu, L., et al. (2010). TBI in the United States: Emergency department visits, hospitalizations, and deaths 2002-2006. Atlanta (GA): Centers for Disease Control and Prevention, National Center for Injury Prevention and Control.

    Google Scholar 

  • Fischl, B., van der Kouwe, A. C., et al. (2004). Automatically parcellating the human cerebral cortex. Cerebral Cortex, 14, 11–22.

    Article  PubMed  Google Scholar 

  • Fitzgerald, D. B., & Crosson, B. A. (2011). Diffusion weighted imaging and neuropsychological correlates in adults with mild traumatic brain injury. International Journal of Psychophysiology, 82(1), 79–85.

    Article  PubMed  Google Scholar 

  • Fujiwara, E., Schwartz, M. L., et al. (2008). Ventral frontal cortex functions and quantified MRI in traumatic brain injury. Neuropsychologia, 46, 461–474.

    Article  PubMed  Google Scholar 

  • Gale, S. D., Johnson, S. C., et al. (1995). Nonspecific white matter degeneration following traumatic brain injury. Journal of the International Neuropsychological Society, 1(1), 17–28.

    Article  PubMed  CAS  Google Scholar 

  • Gale, S. D., Baxter, L., et al. (2005). Traumatic brain injury and grey matter concentration: a preliminary voxel based morphometry study. Journal of Neurology, Neurosurgery & Psychiatry, 76(7), 984–988.

    Article  CAS  Google Scholar 

  • Garnett, M. R., Blamire, A. M., et al. (2000). Early proton magnetic resonance spectroscopy in normal-appearing brain correlates with outcome in patients following traumatic brain injury. Brain, 120(10), 2046–2054.

    Article  Google Scholar 

  • Geary, E. K., Kraus, M. F., et al. (2010). Verbal learning differences in chronic mild traumatic brain injury. Journal of the International Neuropsychological Society, 16(3), 506–516.

    Article  PubMed  Google Scholar 

  • Gentry, L. R. (1994). Imaging of closed head injury. Radiology, 191, 1–17.

    PubMed  CAS  Google Scholar 

  • Gentry, L. R., Godersky, J. C., et al. (1988). MR imaging of head trauma: review of the distribution and radiopathologic features of traumatic lesions. AJR American Journal of Roentgenology, 150(3), 663–672.

    PubMed  CAS  Google Scholar 

  • Goldstein, M. (1990). Traumatic brain injury: a silent epidemic (Editorial). Annals of Neurology, 27, 327.

    Article  PubMed  CAS  Google Scholar 

  • Green, R., Koshimori, Y., et al. (2010). Research digest. Understanding the organic basis of persistent complaints in mTBI: findings from functional and structural neuroimaging. Neuropsychological Rehabilitation, 20(3), 471–478.

    Article  PubMed  Google Scholar 

  • Greiffenstein, M. (2008). Clinical myths of forensic neuropsychology. Clin Neuropsych, 1–11.

  • Grossman, E. J., & Ge, Y., et al. (2011). Thalamus and cognitive impairment in mild traumatic brain injury: A diffusional kurtosis imaging study. Journal of Neurotrauma. Sep 15. [Epub ahead of print]

  • Haacke, E. M., Xu, Y., et al. (2004). Susceptibility weighted imaging (SWI). Magnetic Resonance in Medicine, 52, 612–618.

    Article  PubMed  Google Scholar 

  • Haacke, E. M., Mittal, S., et al. (2009). Susceptibility-weighted imaging: technical aspects and clinical applications, part 1. AJNR American Journal of Neuroradiology, 30(1), 19–30.

    Article  PubMed  CAS  Google Scholar 

  • Haacke, E. M., Duhaime, A. C., et al. (2010). Common data elements in radiologic imaging of traumatic brain injury. Journal of Magnetic Resonance Imaging, 32(3), 516–543.

    Article  PubMed  Google Scholar 

  • Hackney, D. B. (1991). Skull radiography in the evaluation of acute head trauma: a survey of current practice. Radiology, 181(3), 711–714.

    PubMed  CAS  Google Scholar 

  • Hartikainen, K. M., Waljas, M., et al. (2010). Persistent symptoms in mild to moderate traumatic brain injury associated with executive dysfunction. Journal of Clinical and Experimental Neuropsychology, 32(7), 767–774.

    Article  PubMed  Google Scholar 

  • Hayes, R. L., & Dixon, C. E. (1994). Neurochemical changes in mild head injury. Seminars in Neurology, 14, 25–31.

    Article  PubMed  CAS  Google Scholar 

  • Henry, L. C., Tremblay, J., et al. (2011). Acute and chronic changes in diffusivity measures after sports concussion. Journal of Neurotrauma, 28(10), 2049–2059.

    Article  PubMed  Google Scholar 

  • Himanen, L., Portin, R., et al. (2005). Cognitive functions in relation to MRI findings 30 years after traumatic brain injury. Brain Injury, 19, 93–100.

    Article  PubMed  Google Scholar 

  • Hoge, C. W., McGurk, D., et al. (2008). Mild TBI in U. S. soldiers returning from Iraq. The New England Journal of Medicine, 358(5), 453–463.

    Article  PubMed  CAS  Google Scholar 

  • Hoge, C. W., Goldberg, H. M., et al. (2009). Care of war veterans with mild traumatic brain injury–flawed perspectives. The New England Journal of Medicine, 360(16), 1588–1591.

    Article  PubMed  CAS  Google Scholar 

  • Holli, K. K., Harrison, L., et al. (2010). Texture analysis of MR images of patients with mild traumatic brain injury. BMC Medical Imaging, 10, 8.

    Article  PubMed  Google Scholar 

  • Holli, K. K., Wäljas, M., et al. (2010). Mild traumatic brain injury: tissue texture analysis correlated to neuropsychological and DTI findings. Academic Radiology, 17(9), 1096–1102.

    Article  PubMed  Google Scholar 

  • Holshouser, B. A., Tong, K. A., et al. (2005). Proton MR spectroscopic imaging depicts diffuse axonal injury in children with TBI. AJNR. American Journal of Neuroradiology, 26(5), 1276–1285.

    PubMed  Google Scholar 

  • Huang, M., Theilmann, R., et al. (2009). Integrated imaging approach with MEG and DTI to detect mild traumatic brain injury in military and civilian patients. Journal of Neurotrauma, 26(8), 1213–1226.

    Article  PubMed  CAS  Google Scholar 

  • Hughes, D. G., Jackson, A., et al. (2004). Abnormalities on magnetic resonance imaging seen acutely following brain injury: correlation with neuropsychological tests and delayed recovery. Neuroradiology, 46, 550–558.

    PubMed  Google Scholar 

  • Huisman, T. A., Schwamm, L. H., et al. (2004). Diffusion tensor imaging as potential biomarker of white matter injury in diffuse axonal injury. AJNR. American Journal of Neuroradiology, 25(3), 370–376.

    PubMed  Google Scholar 

  • Hunter, J. V., & Wilde, E. A., et al. (2011). Emerging imaging tools for use with traumatic brain injury research. Journal of Neurotrauma. Oct 17. [Epub ahead of print]

  • Inglese, M., Makani, S., et al. (2005). Diffuse axonal injury in mild TBI: a diffusion tensor imaging study. Journal of Neurosurgery, 103(2), 298–303.

    Article  PubMed  Google Scholar 

  • Irimia, A., Chambers, M. C., et al. (2011). Comparison of acute and chronic traumatic brain injury using semi-automatic multimodal segmentation of MR volumes. Journal of Neurotrauma, 11, 2287–2306.

    Article  Google Scholar 

  • Iverson, G. L., Lovell, M. R., et al. (2000). Prevalence of abnormal CT-scans following mild head injury. Brain Injury, 14(12), 1057–1061.

    Article  PubMed  CAS  Google Scholar 

  • Jang, S. H. (2011). Diffusion tensor imaging studies on corticospinal tract injury following traumatic brain injury: a review. Neuro Rehabilitation, 29(4), 339–345.

    PubMed  Google Scholar 

  • Jenkins, A., Teasdale, G., et al. (1986). Brain lesions detected by magnetic resonance imaging in mild to severe head trauma. Lancet, 2, 445–646.

    Article  PubMed  CAS  Google Scholar 

  • Jensen, J. H., Helpern, J. A., et al. (2005). Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magnetic Resonance in Medicine, 53(6), 1432–1440.

    Article  PubMed  Google Scholar 

  • Johnston, K. M., Ptito, A., et al. (2001). New frontiers in diagnostic imaging in concussive head injury. Clinical Journal of Sport Medicine, 11(3), 166–175.

    Article  PubMed  CAS  Google Scholar 

  • Jones, D. K. (2008). Studying connections in the living human brain with diffusion MRI. Cortex, 44, 936–952.

    Article  PubMed  Google Scholar 

  • Kou, Z., Tong, K. A., et al. (2010). The role of advanced MR imaging findings as biomarkers of TBI. The Journal of Head Trauma Rehabilitation, 25(4), 267–282.

    Article  PubMed  Google Scholar 

  • Kraus, M. F., Susmaras, T., et al. (2007). White matter integrity and cognition in chronic traumatic brain injury: a diffusion tensor imaging study. Brain, 130(10), 2508–2519.

    Article  PubMed  Google Scholar 

  • Kubicki, M., McCarley, R., et al. (2007). A review of diffusion tensor imaging studies in schizophrenia. Journal of Psychiatric Research, 41(1–2), 15–30.

    Article  PubMed  Google Scholar 

  • Kumar, R., Gupta, R. K., et al. (2009). Comparative evaluation of corpus callosum DTI metrics in acute mild and moderate traumatic brain injury: its correlation with neuropsychometric tests. Brain Injury, 23(7), 675–685.

    Article  PubMed  Google Scholar 

  • Kurtzke, J. F., & Kurland, L. T. (1993). The epidemiology of neurologic disease. In R. J. Joynt (Ed.), Clinical neurology, rev (Ch. 66). Philadelphia: JB Lippincott.

    Google Scholar 

  • Lange, R. T., & Iversion, G. L., et al. (2011). Diffusion tensor imaging findings are not strongly associated with postconcussional disorder 2 months following mild traumatic brain injury. Journal of Head Trauma Rehabilitation. Jun 2. [Epub ahead of print]

  • Langlois, J. A., Rutland-Brown, W., et al. (2006). The epidemiology and impact of traumatic brain injury: a brief overview. The Journal of Head Trauma Rehabilitation, 21(5), 375–378.

    Article  PubMed  Google Scholar 

  • Lazar, M. (2010). Mapping brain anatomical connectivity using white matter tractography. NMR in Biomedicine, 23, 821–835.

    Article  PubMed  Google Scholar 

  • Le Bihan, D. (1991). Molecular diffusion nuclear magnetic resonance imaging. Magnetic Resonance Quarterly, 7(1), 1–30.

    PubMed  Google Scholar 

  • Le, T. H., & Gean, A. D. (2009). Neuroimaging of traumatic brain injury. The Mount Sinai Journal of Medicine, 76(2), 145–162.

    Article  Google Scholar 

  • Leung, K. K., Clarkson, M. J., et al. (2010). Robust atrophy rate measurement in Alzheimer’s disease using multi-site serial MRI: tissue-specific intensity normalization and parameter selection. NeuroImage, 50(2), 516–523.

    Article  PubMed  Google Scholar 

  • Levin, H. S., Matiss, S., et al. (1984). Neurobehavioral outcome following head injury: a three center study. Journal of Neurosurgery, 66, 234–243.

    Article  Google Scholar 

  • Levin, H. S., Amparo, E., et al. (1987). Magnetic resonance imaging and computerized tomography in relation to the neurobehavioral sequelae of mild and moderate head injuries. Journal of Neurosurgery, 66(5), 706–713.

    Article  PubMed  CAS  Google Scholar 

  • Levin, H. S., Wilde, E., et al. (2010). Diffusion tensor imaging of mild to moderate blast-related traumatic brain injury and its sequelae. Journal of Neurotrauma, 27(4), 683–694.

    Article  PubMed  Google Scholar 

  • Levine, B., Kovacevic, N., et al. (2008). The Toronto traumatic brain injury study: injury severity and quantified MRI. Neurology, 70, 771–778.

    Article  PubMed  CAS  Google Scholar 

  • Lin, A., Ross, B. D., et al. (2005). Efficacy of proton magnetic resonance spectroscopy in neurological diagnosis and neurotherapeutic decision making. NeuroRx, 2(2), 197–214.

    Article  PubMed  Google Scholar 

  • Lin, A. P., & Ramadan, S., et al. (2010). Neurochemical changes in athletes with chronic traumatic encephalopathy. In Radiological society of North America: Chicago, IL.

  • Lipton, M. L., Gellella, C., et al. (2008). Multifocal white matter ultrastructural abnormalities in mild traumatic brain injury with cognitive disability: a voxel-wise analysis of diffusion tensor imaging. Journal of Neurotrauma, 25(11), 1335–1342.

    Article  PubMed  Google Scholar 

  • Lipton, M. L., Gulko, E., et al. (2009). Diffusion-tensor imaging implicates prefrontal axonal injury in executive function impairment following very mild traumatic brain injury. Radiology, 252(3), 816–824.

    Article  PubMed  Google Scholar 

  • Lishman, W. A. (1988). Physiogenesis and psychogenesis in the 'post-concussional syndrome'. The British Journal of Psychiatry, 153, 460–469.

    Article  PubMed  CAS  Google Scholar 

  • Little, D. M., Kraus, M. F., et al. (2010). Thalamic integrity underlies executive dysfunction in traumatic brain injury. Neurology, 74(7), 558–564.

    Article  PubMed  CAS  Google Scholar 

  • Liu, A. Y., Maldjian, A. J., et al. (1999). Traumatic brain injury: diffusion-weighted MR imaging findings. AJNR. American Journal of Neuroradiology, 20(9), 1636–1641.

    PubMed  CAS  Google Scholar 

  • Liu, M. C., Akinyi, L., Scharf, D., et al. (2010). Ubiquitin C-terminal hydroslase-L1 as a biomarker for ischemic and traumatic brain injury in rats. European Journal of Neuroscience, 31, 722–732.

    Article  PubMed  Google Scholar 

  • Ljungqvist, J., Nilssonn, D., et al. (2011). Longitudinal study of the diffusion tensor imaging properties of the corpus callosum in acute and chronic diffuse axonal injury. Brain Injury, 25(4), 370–378.

    Article  PubMed  Google Scholar 

  • Lo, C., Shifteh, K., et al. (2009). Diffusion tensor imaging abnormalities in patients with mild traumatic brain injury and neurocognitive impairment. Journal of Computer Assisted Tomography, 33(2), 293–297.

    Article  PubMed  Google Scholar 

  • MacDonald, C. L., Johnson, A. M., et al. (2011). Detection of blast-related traumatic brain injury in U. S. military personnel. The New England Journal of Medicine, 364(22), 2091–2100.

    Article  CAS  Google Scholar 

  • Machulda, M. M., Bergquist, T. F., et al. (1988). Relationship between stress, coping, and postconcussion in a healthy adult population. Archives of Clinical Neuropsychology, 13(5), 415–424.

    Google Scholar 

  • MacKenzie, J. D., Siddiqi, F., et al. (2002). Brain atrophy in mild or moderate traumatic brain injury: a longitudinal quantitative analysis. AJNR. American Journal of Neuroradiology, 23(9), 1509–1515.

    PubMed  Google Scholar 

  • Malcolm, J. G., Shenton, M. E., & Rathi, Y. (2010). Filtered multi-tensor tractography. IEEE Transactions on Medical Imaging, 29, 1664–1675.

    Article  PubMed  Google Scholar 

  • Maller, J. J., Thomson, R. H., et al. (2010). Traumatic brain injury, major depression, and diffusion tensor imaging: making connections. Brain Research Reviews, 64(1), 213–240.

    Article  PubMed  Google Scholar 

  • Maruta, J., Suh, M., et al. (2010). Visual tracking synchronization as a metric for concussion screening. The Journal of Head Trauma Rehabilitation, 25(4), 293–305.

    Article  PubMed  Google Scholar 

  • Matsushita, M., Hosoda, K., et al. (2011). Utility of diffusion tensor imaging in the acute stage of mild to moderate traumatic brain injury for detecting white matter lesions and predicting long-term cognitive function in adults. Journal of Neurosurgery, 115(1), 130–139.

    Article  PubMed  Google Scholar 

  • Matthews, S. C., Strigo, I. A., et al. (2011). A multimodal imaging study in U. S. veterans of Operations Iraqi and Enduring Freedom with and without major depression after blast-related concussion. NeuroImage, 54(Suppl 1), S69–S75.

    Article  PubMed  Google Scholar 

  • Mayer, A. R., Ling, J., et al. (2010). A prospective diffusion tensor imaging study in mild traumatic brain injury. Neurology, 74(8), 643–650.

    Article  PubMed  CAS  Google Scholar 

  • McAllister, T. W., Ford, J. C., et al. (2012). Maximum principal strain and strain rate associated with concussion diagnosis correlates with changes in corpus callosum white matter indices. Annals of Biomedical Engineering, 40(1), 127–140.

    Article  PubMed  Google Scholar 

  • Messe, A., Caplain, S., et al. (2011). Diffusion tensor imaging and white matter lesions at the subacute stage in mild traumatic brain injury with persistent neurobehavioral impairment. Human Brain Mapping, 32(6), 999–1011.

    Article  PubMed  Google Scholar 

  • Metzler-Baddeley, C., O'Sullivan, M. J., Bells, S., et al. (2012). How and how not to correct for CSF-contamination in diffusion MRI. NeuroImage, 59, 1394–1403.

    Article  PubMed  Google Scholar 

  • Miles, L., Grossman, R. I., et al. (2008). Short-term DTI predictors of cognitive dysfunction in mild traumatic brain injury. Brain Injury, 22(2), 115–122.

    Article  PubMed  Google Scholar 

  • Miller, L. (1996). Neuropsychology and pathophysiology of mild head injury and the postconcussive syndrome: clinical and forensic considerations. Journal of Cognitive Rehabilitation, 14, 8–23.

    CAS  Google Scholar 

  • Mitra, P. P. (1992). Diffusion propagator as a probe of the structure of porous media. Physical Review Letters, 68(24), 3555–3558.

    Article  PubMed  CAS  Google Scholar 

  • Mittl, R. L., Garossman, R. I., et al. (1994). Prevalence of MR evidence of diffuse axonal injury in patients with mild head injury and normal head CT findings. AJNR. American Journal of Neuroradiology, 15(8), 1583–1589.

    PubMed  CAS  Google Scholar 

  • Mondello, S., Muller, U., Jeromin, A., et al. (2011). Blood-based diagnostics of traumatic brain injuries. Expert Review of Molecular Diagnostics, 11(1), 65–78.

    Article  PubMed  Google Scholar 

  • Mori, S., Crain, B. J., Chacko, V. P., et al. (1999). Three dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Annals of Neurology, 45, 265–269.

    Article  PubMed  CAS  Google Scholar 

  • Nelles, M., Block, W., et al. (2008). Combined 3T diffusion tensor tractography and 1H-MR spectroscopy in motor neuron disease. American Journal of Neuroradiology, 29(9), 1708–1714. doi:10.3174/ajnr.A1201.

    Google Scholar 

  • Niogi, S. N., & Mukherjee, P. (2010). Diffusion tensor imaging of mild TBI. The Journal of Head Trauma Rehabilitation, 25(4), 241–255.

    Article  PubMed  Google Scholar 

  • Niogi, S. N., Mukherjee, P., et al. (2008a). Extent of microstructural white matter injury in postconcussive syndrome correlates with impaired cognitive reaction time: a 3T diffusion tensor imaging study of mild traumatic brain injury. AJNR. American Journal of Neuroradiology, 29(5), 967–973.

    Article  PubMed  CAS  Google Scholar 

  • Niogi, S. N., Mukherjee, P., et al. (2008b). Structural dissociation of attentional control and memory in adults with and without mild traumatic brain injury. Brain, 131(12), 3209–3221.

    Article  PubMed  Google Scholar 

  • Nolin, P., & Heroux, L. (2006). Relations among sociodemographic, neurologic, clinical, and neuropsychologic variables, and vocational status following mild TBI: a follow-up study. The Journal of Head Trauma Rehabilitation, 21(6), 514–526.

    Article  PubMed  Google Scholar 

  • Okie, S. (2005). Traumatic brain injury in the war zone. New England Journal of Medicine, 352, 2043–2047.

    Article  PubMed  CAS  Google Scholar 

  • Oppenheimer, D. R. (1968). Microscopic lesions in the brain following head injury. Journal of Neurology, Neurosurgery & Psychiatry, 31, 299–306.

    Article  CAS  Google Scholar 

  • Ozarian, M. E. (2003). Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging. Magnetic Resonance in Medicine, 50(5), 955–965.

    Article  Google Scholar 

  • Park, J. H., Park, S. W., et al. (2009). Detection of traumatic cerebral microbleeds by susceptibility-weighted image of MRI. Journal of Korean Neurosurgical Society, 46, 365–369.

    Article  PubMed  Google Scholar 

  • Pasternak, O., Assaf, Y., et al. (2008). Variational multiple-tensor fitting of fiber-ambiguous diffusion-weighted magnetic resonance imaging voxels. Magnetic Resonance Imaging, 26(8), 1133–1144.

    Article  PubMed  Google Scholar 

  • Pasternak, O., Sochen, N., et al. (2009). Free water elimination and mapping from diffusion MRI. Magnetic Resonance in Medicine, 62(3), 717–730.

    Article  PubMed  Google Scholar 

  • Pasternak, O., & Bouix, S., et al. (2010). Diffusion imaging reveals two spatially separable mechanisms. In T. B. I. Mild (Ed.), The 3rd federal interagency conference on TBI. Washington, DC.

  • Pasternak, O., & Kubicki, O., et al. (2011a). Identification of neuroinflammation in mild traumatic brain injuries using a free-water atlas. Annual Meeting of the Organization for the Human Brain Mapping.

  • Pasternak, O., Westin, C.-F., et al. (2011). Free water modulation of white matter integrity measures - with application to schizophrenia. Proceedings International Society of Magnetic Resonance in Medicine, 19, 2544.

    Google Scholar 

  • Pfefferbaum, A., Sullivan, E. V., et al. (2000). In vivo detection and functional correlates of white matter microstructural disruption in chronic alcoholism. Alcoholism, Clinical and Experimental Research, 24(8), 1214–1221.

    Article  PubMed  CAS  Google Scholar 

  • Pierpaoli, C., & Basser, P. J. (1996). Toward a quantitative assessment of diffusion anisotropy. Magnetic Resonance in Medicine, 36, 893–906.

    Article  PubMed  CAS  Google Scholar 

  • Pohl, K. M., Bouix, S., et al. (2007). A hierarchical algorithm for MR brain image parcellation. IEEE Transactions on Medical Imaging, 26(9), 1201–1212.

    Article  PubMed  Google Scholar 

  • Povlishock, J. T., & Coburn, T. H. (1989). Morphopathological change associated with mild head injury. In H. S. Levin, H. M. Eisenberg, & A. L. Benton (Eds.), Mild head injury (pp. 37–52). New York: Oxford University.

    Google Scholar 

  • Provencher, S. W. (2001). Automatic quantitation of localized in vivo 1H spectra with LCModel. NMR in Biomedicine, 14(4), 260–264.

    Article  PubMed  CAS  Google Scholar 

  • Reichenbach, J. R., Markus, B., et al. (2000). High-resolution MR venography at 3.0 tesla. Journal of Computer Assisted Tomography, 24(6), 949–957.

    Article  PubMed  CAS  Google Scholar 

  • Rimel, R. W., Giordani, B., et al. (1981). Disability caused by minor head injury. Neurosurgery, 9(3), 221–228.

    Article  PubMed  CAS  Google Scholar 

  • Ross, B. D., Ernst, T., et al. (1998). 1H MRS in acute traumatic brain injury. Journal of Magnetic Resonance Imaging, 8(4), 829–840.

    Article  PubMed  CAS  Google Scholar 

  • Ross, B., et al. (2005). MR spectroscopy of hypoxic brain injury. In J. Gillard, A. Waldman, & P. B. Barker (Eds.), Clinical MR neuroimaging: Diffusion, perfusion and spectroscopy (pp. 690–705). Cambridge: Cambridge University Press.

    Google Scholar 

  • Ruff, R. M., Camenzuli, L., et al. (1996). Miserable minority: emotional risk factors that influence the outcome of a mild TBI. Brain Injury, 10(8), 551–565.

    Article  PubMed  CAS  Google Scholar 

  • Rutgers, D. R., Fillard, P., et al. (2008). Diffusion tensor imaging characteristics of the corpus callosum in mild, moderate, and severe traumatic brain injury. AJNR. American Journal of Neuroradiology, 29(9), 1730–1735.

    Article  PubMed  CAS  Google Scholar 

  • Rutgers, D. R., Toulgoat, F., et al. (2008). White matter abnormalities in mild traumatic brain injury: a diffusion tensor imaging study. AJNR. American Journal of Neuroradiology, 29(3), 514–519.

    Article  PubMed  CAS  Google Scholar 

  • Salmond, C. H., Menon, D. K., et al. (2006). Diffusion tensor imaging in chronic head injury survivors: correlations with learning and memory indices. NeuroImage, 29(1), 117–124.

    Article  PubMed  CAS  Google Scholar 

  • Scheid, R., Preul, C., et al. (2003). Diffuse axonal injury associated with chronic traumatic brain injury, evidence from T2*-weighted gradient-echo imaging at 3T. AJNR. American Journal of Neuroradiology, 24, 1049–1056.

    PubMed  Google Scholar 

  • Scheid, R., Ott, D. V., et al. (2007). Comparative magnetic resonance imaging at 1.5 and 3 Tesla for the evaluation of traumatic microbleeds. Journal of Neurotrauma, 24(12), 1811–1816.

    Article  PubMed  Google Scholar 

  • Schonberger, M., Ponsford, J., et al. (2009). The Relationship between age, injury severity, and MRI findings after traumatic brain injury. Journal of Neurotrauma, 26, 2157–2167.

    Article  PubMed  Google Scholar 

  • Seeger, U., Klose, U., et al. (2003). Parameterized evaluation of macromolecules and lipids in proton MR spectroscopy of brain diseases. Magnetic Resonance in Medicine, 49(1), 19–28.

    Article  PubMed  CAS  Google Scholar 

  • Shenton, M. E., Whitford, T. J., et al. (2010). Structural neuroimaging in schizophrenia: from methods to insights to treatments. Dialogues in Clinical Neuroscience, 12(3), 269–332.

    Google Scholar 

  • Shutter, L., Tong, K. A., et al. (2004). Proton MRS in acute TBI: role for glutamate/glutamine and choline for outcome prediction. Journal of Neurotrauma, 21(12), 1693–1705.

    Article  PubMed  Google Scholar 

  • Singh, M., Jeong, J., et al. (2010). Novel diffusion tensor imaging methodology to detect and quantify injured regions and affected brain pathways in traumatic brain injury. Magnetic Resonance Imaging, 28(1), 22–40.

    Article  PubMed  Google Scholar 

  • Smith, D. H., Meaney, D. F., et al. (1995). New magnetic resonance imaging techniques for the evaluation of traumatic brain injury. Journal of Neurotrauma, 12(4), 573–577.

    Article  PubMed  CAS  Google Scholar 

  • Smith, S. M., Jenkinson, M., et al. (2006). Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage, 31(4), 1487–1505.

    Article  PubMed  Google Scholar 

  • Smits, M., Houston, G. C., et al. (2011). Microstructural brain injury in post-concussion syndrome after minor head injury. Neuroradiology, 53(8), 553–563.

    Article  PubMed  Google Scholar 

  • Song, S. K., Sun, S. W., et al. (2001). Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. NeuroImage, 17(3), 1429–1436.

    Article  Google Scholar 

  • Song, S. K., Sun, S. W., et al. (2003). Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. NeuroImage, 20(3), 1714–1722.

    Article  PubMed  Google Scholar 

  • Sosin, D. M., Sniejek, J. E., et al. (1996). Incidence of mild and moderate brain injury in the United States. Brain Injury, 10, 47–54.

    Article  PubMed  CAS  Google Scholar 

  • Sponheim, S. R., McGuire, K. A., et al. (2011). Evidence of disrupted functional connectivity in the brain after combat-related blast injury. NeuroImage, 54(Suppl 1), S21–S29.

    Article  PubMed  Google Scholar 

  • Stein, M. B., & McAllister, T. W. (2009). Exploring the convergence of posttraumatic stress disorder and mild TBI. The American Journal of Psychiatry, 166(7), 768–776.

    Article  PubMed  Google Scholar 

  • Stern, R. A., & Riley, D. A., et al. (2011). Long-term consequences of repetitive brain trauma: Chronic traumatic encephalopathy. PM R.

  • Strangman, G. E., O'Neil-Pirozzi, T. M., et al. (2010). Regional brain morphometry predicts memory rehabilitation outcome after traumatic brain injury. Frontiers in Human Neuroscience, 4, 182.

    Article  PubMed  Google Scholar 

  • Tang, C. Y., Friedman, et al. (2007). Correlations between Diffusion Tensor Imaging (DTI) and Magnetic Resonance Spectroscopy (1H MRS) in schizophrenic patients and normal controls. BMC Psychiatry, 7(1), 25. doi:10.1186/1471-244X-7-25.

  • Tanielian, T., & Jaycox, L. H. (2008). Invisible wounds of war: Psychological and cognitive injuries, their consequences and services to assist recovery. Santa Monica: CAO: RAND Corp.

    Google Scholar 

  • Tate, D. F., & Bigler, E. D. (2000). Fornix and hippocampal atrophy in traumatic brain injury. Learning and Memory, 7(6), 442–446.

    Article  PubMed  CAS  Google Scholar 

  • Teasdale, G., & Jennett, B. (1974). Assessment of coma and impaired consciousness. A practical scale. Lancet, 2(7872), 81–84.

    Article  PubMed  CAS  Google Scholar 

  • Thurman, D. J. (2001). The epidemiology and economics of head trauma. In L. Miller & R. Hayes (Eds.), Head trauma: Basic, preclinical, and clinical directions (pp. 324–347). NY: Wiley.

    Google Scholar 

  • Tollard, E., Galanaud, D., Perlbarg, V., et al. (2009). Experience of diffusion tensor imaging and 1H spectroscopy for outcome prediction in severe traumatic brain injury: preliminary results. Critical Care Medicine, 37(4), 1448–1455.

    Article  PubMed  Google Scholar 

  • Tong, K. A., Ashwal, S., et al. (2003). Hemorrhagic shearing lesions in children and adolescents with posttraumatic diffuse axonal injury: improved detection and initial results. Radiology, 227(2), 332–339.

    Article  PubMed  Google Scholar 

  • Tong, K. A., Ashwal, S., et al. (2004). Diffuse axonal injury in children: clinical correlation with hemorrhagic lesions. Annals of Neurology, 56(1), 36–50.

    Article  PubMed  Google Scholar 

  • Tournier, J. D., Yeh, C. H., Calamante, F., et al. (2008). Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom data. NeuroImage, 42(2), 617–624.

    Article  PubMed  Google Scholar 

  • Trivedi, M. A., Ward, M. A., et al. (2007). Longitudinal changes in global brain volume between 79 and 409 days after traumatic brain injury: relationship with duration of coma. Journal of Neurotrauma, 24, 766–771.

    Article  PubMed  Google Scholar 

  • Tuch, D. S., Reese, T. G., et al. (2002). High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity. Magnetic Resonance in Medicine, 48(4), 577–582.

    Article  PubMed  Google Scholar 

  • Vagnozzi, R., Signoretti, S., et al. (2010). Assessment of metabolic brain damage and recovery following mild TBI: a multicentre, proton magnetic resonance spectroscopic study in concussed patients. Brain, 133(11), 3232–3242.

    Article  PubMed  Google Scholar 

  • Vanderploeg, R. D., Curtiss, G., et al. (2007). Long-term morbidities following self-reported mild traumatic brain injury. Journal of Clinical and Experimental Neuropsychology, 29, 585–598.

    Article  PubMed  Google Scholar 

  • Warden, D. (2006). Military TBI during Iraq and Afghanistan wars. The Journal of Head Trauma Rehabilitation, 21, 398–402.

    Article  PubMed  Google Scholar 

  • Warner, M. A., Marquez de la Plata, C., et al. (2010). Assessing spatial relationships between axonal integrity, regional brain volumes, and neuropsychological outcomes after traumatic axonal injury. Journal of Neurotrauma, 27(12), 2121–2130.

    Article  PubMed  Google Scholar 

  • Warner, M. A., Youn, T. S., et al. (2010). Regionally selective atrophy after traumatic axonal injury. Archives of Neurology, 67(11), 1336–1344.

    Article  PubMed  Google Scholar 

  • Westin, C.-F., Maier, S. E., Khidhir, B., Everett, P., Jolesz, F. A., & Kikinis, R. (1999). Image processing for diffusion tensor magnetic resonance imaging. In Medical Image Computing and Computer-

  • Whitford, T. J., & Kubicki, M., et al. (2011). Diffusion tensor imaging, structural connectivity, and schizophrenia. Schizophr Res Treatment, 1–7.

  • Wilde, E. A., Bigler, E. D., et al. (2004). Alcohol abuse and traumatic brain injury: quantitative magnetic resonance imaging and neuropsychological outcome. Journal of Neurotrauma, 21, 137–147.

    Article  PubMed  Google Scholar 

  • Wilde, E. A., Bigler, E. D., et al. (2006). Post-traumatic amnesia predicts long- term cerebral atrophy in traumatic brain injury. Brain Injury, 20, 695–699.

    Article  PubMed  Google Scholar 

  • Yount, R., Raschke, K. A., et al. (2002). Traumatic brain injury and atrophy of the cingulate gyrus. The Journal of Neuropsychiatry and Clinical Neurosciences, 14, 416–442.

    Article  PubMed  Google Scholar 

  • Yu-Chien, W. U., Andrew, L., et al. (2007). Hybrid diffusion imaging. NeuroImage, 36(3), 617–629.

    Article  Google Scholar 

  • Yurgelun-Todd, D. A., Bueler, E., et al. (2011). Neuroimaging correlates of traumatic brain injury and suicidal behavior. The Journal of Head Trauma Rehabilitation, 26(4), 276–289.

    Article  PubMed  Google Scholar 

  • Zhang, K., Johnson, B., et al. (2010). Are functional deficits in concussed individuals consistent with white matter structural alterations: combined FMRI & DTI study. Experimental Brain Research, 204(1), 57–70.

    Article  CAS  Google Scholar 

  • Zhou, J., Xu, S., Proctor, J., et al. (2012). Diffusion Kurtosis as an in vivo imaging marker for reactive astrogliosis in traumatic brain injury. NeuroImage, 59, 467–477.

    Article  Google Scholar 

  • Zou, K. H., Greve, D. N., et al. (2005). Reproducibility of functional MR imaging: preliminary results of prospective multi-institutional study performed by biomedical informatics research network. Radiology, 237(3), 781–789.

    Article  PubMed  Google Scholar 

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Acknowledgements

This work was supported in part by the INTRuST Posttraumatic Stress Disorder and Traumatic Brain Injury Clinical Consortium funded by the Department of Defense Psychological Health/Traumatic Brain Injury Research Program (X81XWH-07-CC-CS-DoD; MES, JSS, SB, OP, MK, YR, M-AV, C-FW, RZ), by an NIH NINDS funded R01 (R01 NS 078337; RS, MES, JSS), by a Center for Integration of Medicine (CIMIT) Soldier in Medicine Award (SB, MES), by an NIH NIMH funding R01 (R01 MH082918; SB), by funding from the National Research Service Award (T32AT000051; MPP) from the National Center for Complementary and Alternative Medicine (NCCAM) at the National Institute of Health, by the Harvard Medical School Fellowship as part of the Eleanor and Miles Shore Fellowship Program (HH), by the Deutsche Akademischer Austauschdienst (DAAD; IK), and by funding from NCRR, including the National Alliance for Medical Image Computing (NAMIC-U54 EBOO5149; RK, MK, MES), and the Neuroimaging Analysis Center (NAC; P41RR13218; RK and CF).

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Authors and Affiliations

  1. Clinical Neuroscience Laboratory, Laboratory of Neuroscience, Department of Psychiatry, VA Boston Healthcare System, and Harvard Medical School, Brockton, MA, USA

    M. E. Shenton

  2. Psychiatry Neuroimaging Laboratory, Departments of Psychiatry and Radiology, Brigham and Women’s Hospital, and Harvard Medical School, 1249 Boylston Street, Boston, MA, 02215, USA

    M. E. Shenton, H. M. Hamoda, J. S. Schneiderman, S. Bouix, O. Pasternak, Y. Rathi, M.-A. Vu, M. P. Purohit, I. Koerte & M. Kubicki

  3. Department of Psychiatry, Children’s Hospital, and Harvard Medical School, Boston, MA, USA

    H. M. Hamoda

  4. Laboratory of Mathematics in Imaging, Department of Radiology, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA

    O. Pasternak & C.-F. Westin

  5. Spaulding Rehabilitation Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA

    M. P. Purohit & R. Zafonte

  6. Division of Medicine, Beth Israel-Deaconness Medical Center, and Harvard Medical School, Boston, MA, USA

    M. P. Purohit

  7. Department of Radiology, Athinoula A.Martinos Center, Massachusetts General Hospital, and Harvard Medical School, Charlestown, MA, USA

    K. Helmer

  8. Center for Clinical Spectroscopy, Department of Radiology, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA

    A. P. Lin

  9. Surgical Planning Laboratory, MRI Division, Department of Radiology, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA

    R. Kikinis

  10. Center for The Study of Traumatic Encephalopathy, Departments of Neurology and Neurosurgery, Boston University Medical School, Boston, MA, USA

    R. A. Stern

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Shenton, M.E., Hamoda, H.M., Schneiderman, J.S. et al. A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury. Brain Imaging and Behavior 6, 137–192 (2012). https://doi.org/10.1007/s11682-012-9156-5

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Keywords

  • Mild traumatic brain injury
  • mTBI
  • TBI
  • Diffusion tensor imaging
  • DTI
  • Magnetic resonance imaging
  • MRI
  • Diffusion-weighted imaging
  • DWI
  • Susceptibility-weighted imaging
  • SWI
  • Signature injury of war
  • Concussion
  • Postconcussive syndrome
  • Postconcussive symptoms
  • Complicated mTBI
  • Uncomplicated mTBI
  • Physiogenesis
  • Psychogenesis
  • Miserable minority