Skip to main content

Advertisement

Log in

Distribution and volume analysis of early hemorrhagic contusions by MRI after traumatic brain injury: a preliminary report of the Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx)

  • SI: Pacific Rim 2020
  • Published:
Brain Imaging and Behavior Aims and scope Submit manuscript

Abstract

Traumatic brain injury (TBI) can produce heterogeneous injury patterns including a variety of hemorrhagic and non-hemorrhagic lesions. The impact of lesion size, location, and interaction between total number and location of contusions may influence the occurrence of seizures after TBI. We report our methodologic approach to this question in this preliminary report of the Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx). We describe lesion identification and segmentation of hemorrhagic contusions by early posttraumatic magnetic resonance imaging (MRI). We describe the preliminary methods of manual lesion segmentation in an initial cohort of 32 TBI patients from the EpiBioS4Rx cohort and the preliminary association of hemorrhagic contusion and edema location and volume to seizure incidence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

The data analyzed in this study is subject to the following licenses/restrictions: access to data must be requested and approved by the EpiBioS4Rx steering committee. Requests to access these datasets should be directed to epibiossteeringcommittee@loni.usc.edu.

Code availability

Data processing and analysis were performed with Oxford FMRIB Software Library (FSL) and R version 3.6.3 that are publicly available at the following links:

https://www.r-project.org/

https://fsl.fmrib.ox.ac.uk/fsl/fslwiki

Notes

  1. https://epibios.loni.usc.edu

References

  • Agrawal, A., Timothy, J., Pandit, L., & Manju, M. (2006). Post-traumatic epilepsy: An overview. Clinical Neurology and Neurosurgery, 108(5), 433–439.

    Article  Google Scholar 

  • Angeleri, F., Majkowski, J., Cacchio, G., Sobieszek, A., D'acunto, S., Gesuita, R., ... & Salvolini, U. (1999). Posttraumatic epilepsy risk factors: one‐year prospective study after head injury. Epilepsia, 40(9), 1222-1230

  • Beghi, E., Carpio, A., Forsgren, L., Hesdorffer, D. C., Malmgren, K., Sander, J. W., ... & Hauser, W. A. (2010). Recommendation for a definition of acute symptomatic seizure. Epilepsia, 51(4), 671-675

  • Bernasconi, N., Bernasconi, A., Caramanos, Z., Antel, S. B., Andermann, F., & Arnold, D. L. (2003). Mesial temporal damage in temporal lobe epilepsy: A volumetric MRI study of the hippocampus, amygdala and parahippocampal region. Brain, 126(2), 462–469.

    Article  CAS  Google Scholar 

  • Centers for Disease Control and Prevention (CDC). (2015). Report to Congress on Traumatic Brain Injury Epidemiology and Rehabilitation [Internet]. Atlanta: National Center for Injury Prevention and Control; Division of Unintentional Injury Prevention.

    Google Scholar 

  • Chan, C. H., Briellmann, R. S., Pell, G. S., Scheffer, I. E., Abbott, D. F., & Jackson, G. D. (2006). Thalamic atrophy in childhood absence epilepsy. Epilepsia, 47(2), 399–405.

    Article  Google Scholar 

  • Chang, E. F., Meeker, M., & Holland, M. C. (2006). Acute traumatic intraparenchymal hemorrhage: Risk factors for progression in the early post-injury period. Neurosurgery, 58(4), 647–656.

    Article  Google Scholar 

  • Ding, K., Gupta, P. K., & Diaz-Arrastia, R. (2016). Epilepsy after traumatic brain injury In Translational research in traumatic brain injury. CRC Press/Taylor and Francis Group.

    Google Scholar 

  • Evans, A. C., Janke, A. L., Collins, D. L., & Baillet, S. (2012). Brain templates and atlases. NeuroImage, 62(2), 911–922.

    Article  Google Scholar 

  • Garner, R., La Rocca, M., Vespa, P., Jones, N., Monti, M. M., Toga, A. W., & Duncan, D. (2019). Imaging biomarkers of posttraumatic epileptogenesis. Epilepsia, 60(11), 2151–2162.

    Article  Google Scholar 

  • Gupta, P. K., Sayed, N., Ding, K., Agostini, M. A., Van Ness, P. C., Yablon, S., ... & Diaz-Arrastia, R. (2014). Subtypes of post-traumatic epilepsy: clinical, electrophysiological, and imaging features. Journal of neurotrauma, 31(16), 1439-1443

  • Herrick, J. A., Maharathi, B., Kim, J. S., Abundis, G. G., Garg, A., Gonzales, I., … & Cysticercosis Working Group in Peru. (2018). Inflammation is a key risk factor for persistent seizures in neurocysticercosis. Annals of Clinical and Translational Neurology, 5(5), 630–639.

    Article  Google Scholar 

  • Iaccarino, C., Schiavi, P., Picetti, E., Goldoni, M., Cerasti, D., Caspani, M., & Servadei, F. (2014). Patients with brain contusions: Predictors of outcome and relationship between radiological and clinical evolution. Journal of Neurosurgery, 120(4), 908–918.

    Article  Google Scholar 

  • Jenkinson, M., Beckmann, C. F., Behrens, T. E., Woolrich, M. W., & Smith, S. M. (2012). Fsl. Neuroimage, 62(2), 782–790.

    Article  Google Scholar 

  • Kendirli, M. T., Rose, D. T., & Bertram, E. H. (2014). A model of posttraumatic epilepsy after penetrating brain injuries: Effect of lesion size and metal fragments. Epilepsia, 55(12), 1969–1977.

    Article  Google Scholar 

  • Kim, H., Irimia, A., Hobel, S. M., Pogosyan, M., Tang, H., Petrosyan, P., ... & Toga, A. W. (2019). The LONI QC system: a semi-automated, web-based and freely-available environment for the comprehensive quality control of neuroimaging data. Frontiers in neuroinformatics, 13, 60

  • Mukherjee, S., Arisi, G. M., Mims, K., Hollingsworth, G., O’Neil, K., & Shapiro, L. A. (2020). Neuroinflammatory mechanisms of post-traumatic epilepsy. Journal of neuroinflammation, 17(1), 1–11.

    Article  Google Scholar 

  • Ottman, R., Barker-Cummings, C., Leibson, C. L., Vasoli, V. M., Hauser, W. A., & Buchhalter, J. R. (2010). Validation of a brief screening instrument for the ascertainment of epilepsy. Epilepsia, 51(2), 191–197.

    Article  Google Scholar 

  • Pell, G. S., Briellmann, R. S., Pardoe, H., Abbott, D. F., & Jackson, G. D. (2008). Composite voxel-based analysis of volume and T2 relaxometry in temporal lobe epilepsy. NeuroImage, 39(3), 1151–1161.

    Article  Google Scholar 

  • Peng, S. J., & Hsin, Y. L. (2017). Altered structural and functional thalamocortical networks in secondarily generalized extratemporal lobe seizures. NeuroImage: Clinical, 13, 55–61.

    Article  Google Scholar 

  • R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/

  • Raymont, V., Salazar, A. M., Lipsky, R., Goldman, D., Tasick, G., & Grafman, J. (2010). Correlates of posttraumatic epilepsy 35 years following combat brain injury. Neurology, 75(3), 224–229.

    Article  CAS  Google Scholar 

  • Riazi, A. H., Soltanian-Zadeh, H., & Hossein-Zadeh, G. A. (2012). Feature-based approach to fuse fMRI and DTI in epilepsy using joint independent component analysis. In 2012 19th Iranian Conference of Biomedical Engineering (ICBME) (pp. 209–212). Boston: IEEE.

    Google Scholar 

  • Rodríguez-Cruces, R., & Concha, L. (2015). White matter in temporal lobe epilepsy: Clinico-pathological correlates of water diffusion abnormalities. Quantitative Imaging in Medicine and Surgery, 5(2), 264.

    PubMed  PubMed Central  Google Scholar 

  • Schönberger, M., Ponsford, J., Reutens, D., Beare, R., & O’Sullivan, R. (2009). The Relationship between age, injury severity, and MRI findings after traumatic brain injury. Journal of Neurotrauma, 26(12), 2157–2167.

    Article  Google Scholar 

  • Shear, D. A., Lu, X. C. M., Pedersen, R., Wei, G., Chen, Z., Davis, A., ... & Tortella, F. C. (2011). Severity profile of penetrating ballistic-like brain injury on neurofunctional outcome, blood–brain barrier permeability, and brain edema formation. Journal of neurotrauma, 28(10), 2185-2195

  • Talairach, J., & Tournoux, P. (1988). Co-planar stereotaxic atlas of the human brain-3-dimensional proportional system. Thieme Medical Publishers Inc.

    Google Scholar 

  • Tomkins, O., Shelef, I., Kaizerman, I., Eliushin, A., Afawi, Z., Misk, A., ... & Friedman, A. (2008). Blood–brain barrier disruption in post-traumatic epilepsy. Journal of Neurology, Neurosurgery & Psychiatry, 79(7), 774-777

  • Tubi, M. A., Lutkenhoff, E., Blanco, M. B., McArthur, D., Villablanca, P., Ellingson, B., Diaz-Arrastia, R., Van Ness, P., Real, C., Shrestha, V., Engel, J., Jr., & Vespa, P. M. (2019). Early seizures and temporal lobe trauma predict post-traumatic epilepsy: A longitudinal study. Neurobiology of Disease, 123, 115–121.

    Article  Google Scholar 

  • Vespa, P. M., Shrestha, V., Abend, N., Agoston, D., Au, A., Bell, M. J., ... & Duncan, D. (2019). The epilepsy bioinformatics study for anti-epileptogenic therapy (EpiBioS4Rx) clinical biomarker: Study design and protocol. Neurobiology of disease, 123, 110-114

  • Weir, J., Steyerberg, E. W., Butcher, I., Lu, J., Lingsma, H. F., McHugh, G. S., ... & Murray, G. D. (2012). Does the extended Glasgow Outcome Scale add value to the conventional Glasgow Outcome Scale?. Journal of neurotrauma, 29(1), 53-58

  • Xia, M., Wang, J., & He, Y. (2013). BrainNet Viewer: a network visualization tool for human brain connectomics. PloS one, 8(7), e68910.

    Article  CAS  Google Scholar 

  • Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006). User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. NeuroImage, 31(3), 1116–1128.

    Article  Google Scholar 

Download references

Acknowledgements

Data used in the preparation of this article were obtained from the Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) database (https://epibios.loni.usc.edu). EpiBioS4Rx was funded by the National Institute of Neurological Disorders and Stroke (NINDS) of the National Institutes of Health (NIH) in 2017. EpiBioS4Rx is a large, international, multi-site Center without Walls (CWOW) which has been collecting longitudinal EEG, imaging, and blood data from human patients and an animal model with the primary goal to identify biomarkers of epileptogenesis after a traumatic brain injury and then provide therapies and treatments that may stop the development of posttraumatic epilepsy. EpiBioS4Rx is the result of efforts of many investigators from a broad range of academic institutions and private corporations, and subjects have been recruited from over 30 sites across the world. EpiBioS4Rx data are disseminated by the Laboratory of Neuro Imaging at the University of Southern California.

We would like to acknowledge the following EpiBioS4Rx investigators and collaborators: Agoston, Denes, Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences; Au, Alicia K., Critical Care Medicine, University of Pittsburgh Medical Center; Bell, Michael, Critical Care Medicine, Children’s National Hospital DC; Churn, Ben, NINDS, National Institute of Health; Claassen, Jan, Neurology, Columbia University; Diaz-Arrastia, Ramon, Neurology, University of Pennsylvania; Foreman, Brandon, Neurology and Rehabilitation Medicine, University of Cincinnati Medical Center; Galanopoulou, Aristea, Neurology, Albert Einstein College of Medicine; Hunn, Martin, Neurosurgery, The Alfred/Monash University; Jette, Nathalie, Neurology, Icahn School of Medicine at Mount Sinai; Morokoff, Andrew, Surgery, Royal Melbourne Hospital/The University of Melbourne; Moshé, Solomon L., Neurology, Albert Einstein College of Medicine; O’Brien, Terence, Neurology, The Alfred/Monash University/The University of Melbourne; Laing, Joshua, Neurology, The Alfred/Monash University; Perucca, Piero, Neurology, The Royal Melbourne Hospital/ Monash University; O’Phelan, Kristine H., Neurology, University of Miami; Pitkanen, Asla, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland; Courtney Real, Neurosurgery, University of California Los Angeles; Ellingson, Ben, Radiology, University of California Los Angeles; Jesus E. Ruiz Tajeda, University of California Los Angeles; Buitrago Blanco, Manuel, Neurology, University of California Los Angeles; Correa, Daniel, Neurology, Montefiore Medical Center; Harrar, Dana, Pediatrics, Children’s National Hospital DC; Bleck, Thomas P., Neurology, Northwestern University; Burrows, Brian, Phoenix Children’s Hospital; Appavu, Brian, Neurology, Phoenix Children’s Hospital; Struck, Aaron, Neurology, University of Wisconsin; Allen, Baxter, Neurology, Weill Cornell; Keselman, Inna, Neurology, University of California Los Angeles Health; Kennedy, Jeff, Neurology, University of California Davis Medical Center; Ferastraoaru, Victor, Neurology, Albert Einstein College of Medicine; Yoo, Ji Yeoun, Neurology, Icahn School of Medicine at Mount Sinai.

Funding

This study was conducted with the support of the National Institute of Neurological Disorders and Stroke (NINDS) of the National Institutes of Health (NIH) under award number U54 NS100064 (EpiBioS4Rx).

Author information

Authors and Affiliations

Authors

Consortia

Contributions

M.L.R., D.D. and A.T. conceived the work. M.L.R. and A.B. conducted the analyses and wrote the manuscript. E.G., E.R., F.W., L.Z. and P.V. collected the data. G.B., J.E., E.G., E.R., F.W., L.Z. and P.V. reviewed clinically the work. J.S. produced 3D animations. All authors M.L.R., G.B., A.B., R.G., J.E., E.G., D.M., E.R., J.S., F.W., L.Z., P.V, A.T. and D.D. analyzed the results, reviewed the manuscript, approved the final version to be published and agreed to be accountable for the integrity and accuracy of all aspects of the work.

Corresponding author

Correspondence to Marianna La Rocca.

Ethics declarations

Conflicts of Interest/Competing interests

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Ethics approval

This work was approved by the UCLA Institutional Review Board (IRB# 16–001 576) and the local review boards at each EpiBioS4Rx Study Group institution. Assent and written consent was obtained from the legal representative as per state law.

Consent to participate

All patients have consented for data to be deidentified and then analyzed.

Consent for publication

Not Applicable.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

_

This study was conducted with the support of the National Institute of Neurological Disorders and Stroke (NINDS) of the National Institutes of Health (NIH) under award number U54 NS100064 (EpiBioS4Rx). We have no conflicts of interest to disclose.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 841 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

La Rocca, M., Barisano, G., Bennett, A. et al. Distribution and volume analysis of early hemorrhagic contusions by MRI after traumatic brain injury: a preliminary report of the Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx). Brain Imaging and Behavior 15, 2804–2812 (2021). https://doi.org/10.1007/s11682-021-00603-8

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11682-021-00603-8

Keywords

Navigation