Neuroanatomic Markers of Posttraumatic Epilepsy Based on MR Imaging and Machine Learning

References

1. 1.↵
   1. Penfield W

   . Symposium on posttraumatic epilepsy: introduction. Epilepsia 1961;2:109–10
2. 2.↵
   1. Herman ST

   . Epilepsy after brain insult: targeting epileptogenesis. Neurology 2002;59:S21–26 doi:10.1212/wnl.59.9_suppl_5.s21 pmid:12428028

   CrossRefPubMed
3. 3.↵
   1. Curia G,
   2. Levitt M,
   3. Fender JS, et al

   . Impact of injury location and severity on posttraumatic epilepsy in the rat: role of frontal neocortex. Cereb Cortex 2011;21:1574–92 doi:10.1093/cercor/bhq218 pmid:21112931

   CrossRefPubMed
4. 4.↵
   1. Laskowitz D,
   2. Grant G

   . Translational Research in Traumatic Brain Injury. Vol 57. CRC Press; 2016
5. 5.↵
   1. Pitkänen A,
   2. Löscher W,
   3. Vezzani A, et al

   . Advances in the development of biomarkers for epilepsy. Lancet Neurol 2016;15:843–56 doi:10.1016/S1474-4422(16)00112-5 pmid:27302363

   CrossRefPubMed
6. 6.↵
   1. Angeleri F,
   2. Majkowski J,
   3. Cacchio G, et al

   . Posttraumatic epilepsy risk factors: one-year prospective study after head injury. Epilepsia 1999;40:1222–30 doi:10.1111/j.1528-1157.1999.tb00850.x pmid:10487184

   CrossRefPubMedWeb of Science
7. 7.↵
   1. Diaz-Arrastia R,
   2. Agostini MA,
   3. Madden CJ, et al

   . Posttraumatic epilepsy: the endophenotypes of a human model of epileptogenesis. Epilepsia 2009;50:14–20 doi:10.1111/j.1528-1167.2008.02006.x pmid:19187290

   CrossRefPubMed
8. 8.↵
   1. Eftekhar B,
   2. Sahraian MA,
   3. Nouralishahi B, et al

   . Prognostic factors in the persistence of posttraumatic epilepsy after penetrating head injuries sustained in war. J Neurosurg 2009;110:319–26 doi:10.3171/2008.4.17519 pmid:18976060

   CrossRefPubMedWeb of Science
9. 9.↵
   1. Pitkänen A,
   2. Bolkvadze T,
   3. Immonen R

   . Anti-epileptogenesis in rodent post-traumatic epilepsy models. Neurosci Lett 2011;497:163–71 doi:10.1016/j.neulet.2011.02.033 pmid:21402123

   CrossRefPubMed
10. 10.↵
    1. Raymont V,
    2. Salazar AM,
    3. Lipsky R, et al

    . Correlates of posttraumatic epilepsy 35 years following combat brain injury. Neurology 2010;75:224–29 doi:10.1212/WNL.0b013e3181e8e6d0 pmid:20644150

    Abstract/FREE Full Text
11. 11.↵
    1. Englander J,
    2. Bushnik T,
    3. Duong TT, et al

    . Analyzing risk factors for late posttraumatic seizures: a prospective, multicenter investigation. Arch Phys Med Rehabil. 2003;84:365–73 doi:10.1053/apmr.2003.50022 pmid:12638104

    CrossRefPubMedWeb of Science
12. 12.↵
    1. Tubi MA,
    2. Lutkenhoff E,
    3. Blanco MB, et al

    . Early seizures and temporal lobe trauma predict post-traumatic epilepsy: a longitudinal study. Neurobiol Dis 2019;123:115–21 doi:10.1016/j.nbd.2018.05.014 pmid:29859872

    CrossRefPubMed
13. 13.↵
    1. Pustina D,
    2. Avants B,
    3. Sperling M, et al

    . Predicting the laterality of temporal lobe epilepsy from PET, MRI, and DTI: a multimodal study. Neuroimage Clin 2015;9:20–31 doi:10.1016/j.nicl.2015.07.010 pmid:26288753

    CrossRefPubMed
14. 14.↵
    1. Duncan D,
    2. Barisano G,
    3. Cabeen R, et al

    . Analytic tools for post-traumatic epileptogenesis biomarker search in multimodal dataset of an animal model and human patients. Front Neuroinform 2018;12:86 doi:10.3389/fninf.2018.00086 pmid:30618695

    CrossRefPubMed
15. 15.↵
    1. Gullapalli RP

    . Investigation of prognostic ability of novel imaging markers for traumatic brain injury (TBI). University of Maryland; 2011. https://apps.dtic.mil/sti/citations/ADA577060. Accessed February 11, 2021
16. 16.↵
    1. Yue JK,
    2. Vassar MJ,
    3. Lingsma HF, et al

    . TRACK-TBI Investigators. Transforming research and clinical knowledge in traumatic brain injury pilot: multicenter implementation of the common data elements for traumatic brain injury. J Neurotrauma 2013;30:1831–44 doi:10.1089/neu.2013.2970 pmid:23815563

    CrossRefPubMed
17. 17.↵
    1. Maier O,
    2. Menze BH,
    3. von der Gablentz J, et al

    . ISLES 2015: a public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Med Image Anal 2017;35:250–69 doi:10.1016/j.media.2016.07.009 pmid:27475911

    CrossRefPubMed
18. 18.↵
    1. Joshi AA,
    2. Shattuck DW,
    3. Thompson PM, et al

    . Surface-constrained volumetric brain registration using harmonic mappings. IEEE Trans Med Imaging 2007;26:1657–69 doi:10.1109/tmi.2007.901432 pmid:18092736

    CrossRefPubMedWeb of Science
19. 19.↵
    1. Dennis EL,
    2. Hua X,
    3. Villalon-Reina J, et al

    . Tensor-based morphometry reveals volumetric deficits in moderate-severe pediatric traumatic brain injury. J Neurotrauma 2016;33:840–52 doi:10.1089/neu.2015.4012 pmid:26393494

    CrossRefPubMed
20. 20.↵
    1. Ashburner J

    . A fast diffeomorphic image registration algorithm. NeuroImage 2007;38:95–113 doi:10.1016/j.neuroimage.2007.07.007 pmid:17761438

    CrossRefPubMedWeb of Science
21. 21.↵
    1. Hua X,
    2. Lee S,
    3. Yanovsky I, et al

    ; Alzheimer’s Disease Neuroimaging Initiative. Optimizing power to track brain degeneration in Alzheimer’s disease and mild cognitive impairment with tensor-based morphometry: an ADNI study of 515 subjects. Neuroimage 2009;48:668–81 doi:10.1016/j.neuroimage.2009.07.011 pmid:19615450

    CrossRefPubMed
22. 22.↵
    1. Benjamini Y,
    2. Yekutieli D

    . The control of the false discovery rate in multiple testing under dependency. Annals of Statistics 2001;29:1165–88

    CrossRefWeb of Science
23. 23.↵
    1. Li H,
    2. Jiang G,
    3. Zhang J, et al

    . Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images. Neuroimage 2018;183:650–65 doi:10.1016/j.neuroimage.2018.07.005 pmid:30125711

    CrossRefPubMed
24. 24.↵
    1. Akrami H,
    2. Joshi AA,
    3. Li J, et al

    . Brain lesion detection using a robust Variational Autoencoder and transfer learning. Proc IEEE Int Symp Biomed Imaging 2020 786–90 doi:10.1109/isbi45749.2020.9098405 pmid:33500750

    CrossRefPubMed
25. 25.↵
    1. Kingma DP,
    2. Welling M

    . Auto-encoding variational Bayes. arXiv preprint arXiv 2013 https://arxiv.org/abs/1312.6114v10. Accessed April 04, 2019
26. 26.↵
    1. Larsen AB,
    2. Sønderby SK,
    3. Larochelle H, et al

    . Autoencoding beyond pixels using a learned similarity metric. arXiv preprint arXiv 2015. https://arxiv.org/abs/1512.09300v1. Accessed August 13, 2018
27. 27.↵
    1. Akrami H,
    2. Joshi AA,
    3. Li J, et al

    . Robust Variational Autoencoder. arXiv:190509961. 2019. http://arxiv.org/abs/1905.09961. Accessed June 11, 2019
28. 28.↵
    1. Zhang J,
    2. Ma KK,
    3. Er MH, et al

    . Tumor segmentation from magnetic resonance imaging by learning via one-class support vector machine. International Workshop on Advanced Image Technology (IWAIT'04). 2004. http://vision.cse.psu.edu/people/chenpingY/paper/svm04.pdf. Accessed February 11, 2022
29. 29.↵
    1. Duda RO,
    2. Hart PE,
    3. Stork DG

    . Pattern Classification. John Wiley & Sons; 2012
30. 30.↵
    1. Adeloye A,
    2. Odeku EL

    . The radiology of missile head wounds. Clin Radiol 1971;22:312–20 doi:10.1016/s0009-9260(71)80079-x pmid:5559101

    CrossRefPubMed
31. 31.↵
    1. Russell WR

    . Disability caused by brain wounds: a review of 1,166 cases. J Neurol Neurosurg Psychiatry 1951;14:35–39 doi:10.1136/jnnp.14.1.35 pmid:14814567

    FREE Full Text
32. 32.↵
    1. Irimia A,
    2. Goh SY,
    3. Torgerson CM, et al

    . Structural and connectomic neuroimaging for the personalized study of longitudinal alterations in cortical shape, thickness and connectivity after traumatic brain injury. J Neurosurg Sci 2014;58:129–14 pmid:24844173

    PubMed
33. 33.↵
    1. Li W,
    2. He H,
    3. Lu J, et al

    . Detection of whole-brain abnormalities in temporal lobe epilepsy using tensor-based morphometry with DARTEL. In: Proceedings of SPIE: The International Society for Optical Engineering, Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, Yichang, China, 2009. October 30, 2009 doi:10.1117/12.833128
34. 34.↵
    1. Cormack F,
    2. Gadian DG,
    3. Vargha-Khadem F, et al

    . Extra-hippocampal grey matter density abnormalities in paediatric mesial temporal sclerosis. Neuroimage 2005;27:635–43 doi:10.1016/j.neuroimage.2005.05.023 pmid:16006149

    CrossRefPubMedWeb of Science
35. 35.↵
    1. Daley M,
    2. Siddarth P,
    3. Levitt J, et al

    . Amygdala volume and psychopathology in childhood complex partial seizures. Epilepsy Behav 2008;13:212–17 doi:10.1016/j.yebeh.2007.12.021 pmid:18359276

    CrossRefPubMedWeb of Science
36. 36.↵
    1. Guimarães CA,
    2. Bonilha L,
    3. Franzon RC, et al

    . Distribution of regional gray matter abnormalities in a pediatric population with temporal lobe epilepsy and correlation with neuropsychological performance. Epilepsy Behav 2007;11:558–66 doi:10.1016/j.yebeh.2007.07.005 pmid:17933587

    CrossRefPubMedWeb of Science
37. 37.↵
    1. Tosun D,
    2. Dabbs K,
    3. Caplan R, et al

    . Deformation-based morphometry of prospective neurodevelopmental changes in new onset paediatric epilepsy. Brain 2011;134:1003–14 doi:10.1093/brain/awr027 pmid:21398377

    CrossRefPubMedWeb of Science
38. 38.↵
    1. Wirrell E,
    2. Farrell K,
    3. Whiting S

    . The epileptic encephalopathies of infancy and childhood. Can J Neurol Sci2005;32:409–18 doi:10.1017/s0317167100004388 pmid:16408569

    CrossRefPubMed
39. 39.↵
    1. Engel J Jr.

    1. Babb TL,
    2. Brown WJ.

    Pathological findings in epilepsy. In: Engel J Jr., ed. Surgical Treatment of the Epilepsies. New York: Raven Press; 1987;511–40
40. 40.↵
    1. Keller SS,
    2. Highley JR,
    3. Garcia-Finana M, et al

    . Sulcal variability, stereological measurement and asymmetry of Broca’s area on MR images. J Anat 2007;211:534–55 doi:10.1111/j.1469-7580.2007.00793.x pmid:17727624

    CrossRefPubMedWeb of Science
41. 41.↵
    1. Bernasconi N,
    2. Bernasconi A,
    3. Caramanos Z, et al

    . Mesial temporal damage in temporal lobe epilepsy: a volumetric MRI study of the hippocampus, amygdala and parahippocampal region. Brain 2003;126:462–69 doi:10.1093/brain/awg034 pmid:12538412

    CrossRefPubMedWeb of Science
42. 42.↵
    1. Bonilha L,
    2. Kobayashi E,
    3. Rorden C, et al

    . Medial temporal lobe atrophy in patients with refractory temporal lobe epilepsy. J Neurol Neurosurg Psychiatry 2003;74:1627–30 doi:10.1136/jnnp.74.12.1627 pmid:14638879

    Abstract/FREE Full Text
43. 43.↵
    1. Bonilha L,
    2. Rorden C,
    3. Castellano G, et al

    . Voxel-based morphometry reveals gray matter network atrophy in refractory medial temporal lobe epilepsy. Arch Neurol 2004;61:1379–84 doi:10.1001/archneur.61.9.1379 pmid:15364683

    CrossRefPubMedWeb of Science
44. 44.↵
    1. Wright MJ,
    2. McArthur DR,
    3. Alger JR, et al

    . Early metabolic crisis-related brain atrophy and cognition in traumatic brain injury. Brain Imaging Behav 2013;7:307–15 doi:10.1007/s11682-013-9231-6 pmid:23636971

    CrossRefPubMed
45. 45.↵
    1. Irimia A,
    2. Van Horn JD

    . Epileptogenic focus localization in pharmacologically resistant post-traumatic epilepsy. J Clin Neurosci 2015;22:627–31 doi:10.1016/j.jocn.2014.09.019 pmid:25542591

    CrossRefPubMed
46. 46.↵
    1. Verellen RM,
    2. Cavazos JE

    . Post-traumatic epilepsy: an overview. Therapy 2010;7:527–31 doi:10.2217/thy.10.57 pmid:24761136

    CrossRefPubMed