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Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury

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Book cover Data Integration in the Life Sciences (DILS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9162))

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Abstract

The integration of multidimensional, longitudinal data acquired using the combined use of structural neuroimaging [e.g. magnetic resonance imaging (MRI), computed tomography (CT)] and neurophysiological recordings [e.g. electroencephalography (EEG)] poses substantial challenges to neuroinformaticians and to biomedical scientists who interact frequently with such data. In traumatic brain injury (TBI) studies, this challenge is even more severe due to the substantial heterogeneity of TBIs across patients and to the variety of neurophysiological responses to injury. Additionally, the study of acute epileptiform activity prompted by TBI poses logistic, analytic and data integration difficulties. Here we describe our proposed solutions to the integration of structural neuroimaging with neurophysiological recordings to study epileptiform activity after TBI. Based on techniques for TBI-robust segmentation and electrical activity localization, we have developed an approach to the joint analysis of MRI/CT/EEG data to identify the foci of seizure-related activity and to facilitate the study of TBI-related neuropathophysiology.

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References

  1. Dale, A.M., Sereno, M.I.: Improved localizadon of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach. J. Cogn. Neurosci. 5, 162–176 (1993)

    Article  Google Scholar 

  2. Brophy, G.M., Bell, R., Claassen, J., Alldredge, B., Bleck, T.P., Glauser, T., Laroche, S.M., Riviello Jr., J.J., Shutter, L., Sperling, M.R., Treiman, D.M., Vespa, P.M.: Neurocritical care society status epilepticus guideline writing, C.: guidelines for the evaluation and management of status epilepticus. Neurocrit. Care 17, 3–23 (2012)

    Article  Google Scholar 

  3. Vespa, P.M., Nuwer, M.R., Nenov, V., Ronne-Engstrom, E., Hovda, D.A., Bergsneider, M., Kelly, D.F., Martin, N.A., Becker, D.P.: Increased incidence and impact of nonconvulsive and convulsive seizures after traumatic brain injury as detected by continuous electroencephalographic monitoring. J. Neurosurg. 91, 750–760 (1999)

    Article  Google Scholar 

  4. Irimia, A., Chambers, M.C., Alger, J.R., Filippou, M., Prastawa, M.W., Wang, B., Hovda, D.A., Gerig, G., Toga, A.W., Kikinis, R., Vespa, P.M., Van Horn, J.D.: Comparison of acute and chronic traumatic brain injury using semi-automatic multimodal segmentation of MR volumes. J. Neurotrauma 28, 2287–2306 (2011)

    Article  Google Scholar 

  5. Dale, A.M., Fischl, B., Sereno, M.I.: Cortical surface-based analysis – I. segmentation and surface reconstruction. NeuroImage 9, 179–194 (1999)

    Article  Google Scholar 

  6. Fischl, B., Sereno, M.I., Dale, A.M.: Cortical surface-based analysis - II: inflation, flattening, and a surface-based coordinate system. Neuroimage 9, 195–207 (1999)

    Article  Google Scholar 

  7. Fischl, B., Salat, D.H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., Montillo, A., Makris, N., Rosen, B., Dale, A.M.: Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33, 341–355 (2002)

    Article  Google Scholar 

  8. Destrieux, C., Fischl, B., Dale, A., Halgren, E.: Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature. Neuroimage 53, 1–15 (2010)

    Article  Google Scholar 

  9. Fischl, B., Salat, D.H., van der Kouwe, A.J., Makris, N., Segonne, F., Quinn, B.T., Dale, A.M.: Sequence-independent segmentation of magnetic resonance images. NeuroImage 23(Suppl 1), S69–S84 (2004)

    Article  Google Scholar 

  10. Irimia, A., Chambers, M.C., Alger, J.R., Filippou, M., Prastawa, M.W., Wang, B., Hovda, D.A., Gerig, G., Toga, A.W., Kikinis, R., Vespa, P.M., Van Horn, J.D.: Comparison of acute and chronic traumatic brain injury using semi-automatic multimodal segmentation of MR volumes. J. Neurotrauma 28, 2287–2306 (2011)

    Article  Google Scholar 

  11. Irimia, A., Chambers, M.C., Torgerson, C.M., Filippou, M., Hovda, D.A., Alger, J.R., Gerig, G., Toga, A.W., Vespa, P.M., Kikinis, R., Van Horn, J.D.: Patient-tailored connectomics visualization for the assessment of white matter atrophy in traumatic brain injury. Front. Neurol. 3, 10 (2012)

    Article  Google Scholar 

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

    Article  Google Scholar 

  13. Glasser, M.F., Van Essen, D.C.: Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI. J. Neurosci. 31, 11597–11616 (2011)

    Article  Google Scholar 

  14. Dale, A., Sereno, M.: Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach. J. Cogn. Neurosci. 5, 162–176 (1993)

    Article  Google Scholar 

  15. Irimia, A., Van Horn, J.D., Halgren, E.: Source cancellation profiles of electroencephalography and magnetoencephalography. Neuroimage 59, 2464–2474 (2012)

    Article  Google Scholar 

  16. Acar, Z., Gencer, N.: An advanced BEM implementation for the forward problem of electro-magnetic source Imaging. Phys. Med. Biol. 49, 5011–5028 (2004)

    Article  Google Scholar 

  17. Acar, Z., Makeig, S.: Neuroelectromagnetic forward head modeling toolbox. J. Neurosci. Methods 190, 258–270 (2010)

    Article  Google Scholar 

  18. Yan, Y., Nunez, P.L., Hart, R.T.: Finite-element model of the human head: scalp potentials due to dipole sources. Med. Biol. Eng. Comput. 29, 475–481 (1991)

    Article  Google Scholar 

  19. Liu, A.K., Dale, A.M., Belliveau, J.W.: Monte Carlo simulation studies of EEG and MEG localization accuracy. Hum. Brain Mapp. 16, 47–62 (2002)

    Article  Google Scholar 

  20. Wang, B., Prastawa, M., Irimia, A., Chambers, M.C., Vespa, P.M., Van Horn, J.D., Gerig, G.: A patient-specific segmentation framework for longitudinal MR images of traumatic brain injury. In: Proceedings of Spie 8314 (2012)

    Google Scholar 

  21. Wang, B., Prastawa, M., Irimia, A., Chambers, M.C., Sadeghi, N., Vespa, P.M., van Horn, J.D., Gerig, G.: Analyzing imaging biomarkers for traumatic brain injury using 4d modeling of longitudinal MRI. In: I S Biomed Imaging, pp. 1392–1395 (2013)

    Google Scholar 

  22. Wang, B., Prastawa, M., Awate, S.P., Irimia, A., Chambers, M.C., Vespa, P.M., van Horn, J.D., Gerig, G.: Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation. In: 2012 9th IEEE International Symposium on Biomedical Imaging (Isbi), pp. 1152–1155 (2012)

    Google Scholar 

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Acknowledgments

This work was supported by the National Institutes of Health, grants 2U54EB005149-06 “National Alliance for Medical Image Computing: Traumatic Brain Injury – Driving Biological Project” to J. D. V. H., and R41NS081792-01 “Multimodality Image Based Assessment System for Traumatic Brain Injury”, sub-award to J. D. V. H, and by the National Institute of Neurological Disorders and Stroke, grant P01NS058489 to P.M.V. We wish to thank the dedicated staff of the Institute for Neuroimaging and Informatics at the University of Southern California. The authors declare no actual or perceived competing conflict of interest.

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Authors and Affiliations

  1. Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, University of Southern California, Los Angeles, CA, USA

    Andrei Irimia, Sheng-Yang M. Goh & John D. Van Horn

  2. Brain Injury Research Center and Departments of Neurology and Neurosurgery, University of California, Los Angeles, CA, USA

    Paul M. Vespa

Authors
  1. Andrei Irimia
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  2. Sheng-Yang M. Goh
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  3. Paul M. Vespa
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  4. John D. Van Horn
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Corresponding author

Correspondence to John D. Van Horn .

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Editors and Affiliations

  1. USC Stevens Neuroimaging and Informatics Institute, Los Angeles, California, USA

    Naveen Ashish

  2. USC Information Sciences Institute, Marina del Rey, California, USA

    Jose-Luis Ambite

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© 2015 Springer International Publishing Switzerland

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Irimia, A., Goh, SY.M., Vespa, P.M., Van Horn, J.D. (2015). Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury. In: Ashish, N., Ambite, JL. (eds) Data Integration in the Life Sciences. DILS 2015. Lecture Notes in Computer Science(), vol 9162. Springer, Cham. https://doi.org/10.1007/978-3-319-21843-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-21843-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21842-7

  • Online ISBN: 978-3-319-21843-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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