Abstract
Because mild Traumatic Brain Injuries (mTBI) are heterogeneous, classification methods perform outlier detection from a model of healthy tissue. Such a model is challenging to construct. Instead, we utilize region-specific pairwise (person-to-person) comparisons. Each person-region is characterized by a distribution of Fractional Anisotropy and comparisons are made via Median, Mean, Bhattacharya and Kullback-Liebler distances. Additionally, we examine an ordinal decision rule which compares a subject’s n\(^\mathrm{{th}}\) most atypical region to a healthy control’s. Ordinal comparison is motivated by mTBI’s heterogeneity; each mTBI has some set of damaged tissue which is not necessarily spatially consistent. These improvements correctly distinguish Persistent Post-Concussive Symptoms in a small dataset but achieve only a .74 AUC in identifying mTBI subjects with milder symptoms. Finally, we perform subject-specific simulations which characterize which injuries are detected and which are missed.
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Aoki, Y., Inokuchi, R., Gunshin, M., Yahagi, N., Suwa, H.: Diffusion tensor imaging studies of mild traumatic brain injury: a meta-analysis. J. Neurol. Neurosurg. Psychiatry 83(9), 870–876 (2012)
Basser, P.J., Pierpaoli, C.: Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. J. Magn. Resonance 213(2), 560–570 (2011)
Basser, P., Mattiello, J., Lebihan, D.: Estimation of the effective self-diffusion tensor from the NMR spin echo. J. Magn. Resonance Ser. B 103(3), 247–254 (1994). http://linkinghub.elsevier.com/retrieve/pii/S1064186684710375
Bigler, E.D.: Neuropsychology and clinical neuroscience of persistent post-concussive syndrome. J. Int. Neuropsychol. Soc. 14(1), 1–22 (2008)
Bouix, S., Pasternak, O., Rathi, Y., Pelavin, P.E., Zafonte, R., Shenton, M.E.: Increased gray matter diffusion anisotropy in patients with persistent post-concussive symptoms following mild traumatic brain injury. PLoS One 8(6), e66205 (2013)
Coronado, V.G., Mcguire, L.C., Sarmiento, K., Bell, J., Lionbarger, M.R., Jones, C.D., Geller, A.I., Khoury, N., Xu, L.: Corrigendum to trends in traumatic brain injury in the U.S. and the and the public health response: 1995–2009. J. Safety Res. 48, 117 (2014). http://dx.doi.org/10.1016/j.jsr.2013.12.006
Desikan, R.S., Ségonne, F., Fischl, B., Quinn, B.T., Dickerson, B.C., Blacker, D., Buckner, R.L., Dale, A.M., Maguire, R.P., Hyman, B.T., Albert, M.S., Killiany, R.J.: An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage 31(3), 968–980 (2006). http://www.sciencedirect.com/science/article/B6WNP-4JFHF4P-1/2/0ec667d4c17eafb0a7c52fa3fd5aef1c
Feng, Y., Abney, T.M., Okamoto, R.J., Pless, R.B., Genin, G.M., Bayly, P.V.: Relative brain displacement and deformation during constrained mild frontal head impact. J. R. Soc. Interface 7(53), 1677–1688 (2010)
Gardner, A., Kay-Lambkin, F., Stanwell, P., Donnelly, J., Williams, W.H., Hiles, A., Schofield, P., Levi, C., Jones, D.K.: A systematic review of diffusion tensor imaging findings in sports-related concussion. J. Neurotrauma 29(16), 2521–2538 (2012)
Garyfallidis, E., Brett, M., Amirbekian, B., Rokem, A., Van Der Walt, S., Descoteaux, M., Nimmo-Smith, I.: Dipy, a library for the analysis of diffusion MRI data. Front. Neuroinform. 8, 8 (2014). http://journal.frontiersin.org/article/10.3389/fninf.2014.00008
Koerte, I.K., Lin, A.P., Willems, A., Muehlmann, M., Hufschmidt, J., Coleman, M.J., Green, I., Liao, H., Tate, D.F., Wilde, E.A., Pasternak, O., Bouix, S., Rathi, Y., Bigler, E.D., Stern, R.A., Shenton, M.E.: A review of neuroimaging findings in repetitive brain trauma. Brain Pathol. 25, 318–349 (2015)
Lipton, M.L., Gellella, E., Lo, C., Gold, T., Ardekani, B.A., Shifteh, K., Bello, J.A., Branch, C.A.: Multifocal white matter ultrastructural abnormalities in mild traumatic brain injury with cognitive disability: a voxel-wise analysis of diffusion tensor imaging. J. Neurotrauma 25(11), 1335–1342 (2008)
Mirzaalian, H., Ning, L., Savadjiev, P., Pasternak, O., Bouix, S., Michailovich, O., Grant, G., Marx, C.E., Morey, R.A., Flashman, L.A., George, M.S., McAllister, T.W., Andaluz, N., Shutter, L., Coimbra, R., Zafonte, R.D., Coleman, M.J., Kubicki, M., Westin, C.F., Stein, M.B., Shenton, M.E., Rathi, Y.: Inter-site and inter-scanner diffusion MRI data harmonization. NeuroImage 135, 311–323 (2016). http://dx.doi.org/10.1016/j.neuroimage.2016.04.041
Rosenbaum, S.B., Lipton, M.L.: Embracing chaos: the scope and importance of clinical and pathological heterogeneity in mTBI. Brain Imaging Behav. 6(2), 255–282 (2012)
Shaker, M., Erdogmus, D., Dy, J., Bouix, S.: Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data. Med. Image Anal. 37, 56–65 (2017). https://doi.org/10.1016/j.media.2017.01.005
Shenton, M.E., Hamoda, H.M., Schneiderman, J.S., Boulx, S., Pasternak, O., Rathi, Y., Vu, M.-A., Purohit, M.P., Helmer, K., Koerte, I., Lin, A.P., Westin, C.-F., Kikinis, R., Kubicki, M., Stern, R.A., Zafonte, R.: A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury. Brain Imaging Behav. 6(2), 137–192 (2012)
Acknowledgements
This work is supported 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-CSDoD], National Institute of Mental Health [T32 MH 016259-29] and the National Institute of Health [R01HD090641].
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Higger, M., Shenton, M., Bouix, S. (2018). Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries. In: Crimi, A., Bakas, S., Kuijf, H., Menze, B., Reyes, M. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Lecture Notes in Computer Science(), vol 10670. Springer, Cham. https://doi.org/10.1007/978-3-319-75238-9_9
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