Book contents
- Imaging Biomarkers in Epilepsy
- Imaging Biomarkers in Epilepsy
- Copyright page
- Dedication
- Contents
- Preface
- Contributors
- Part I Imaging the Development and Early Phase of the Disease
- Part II Modeling Epileptogenic Lesions and Mapping Networks
- Chapter 6 Computational Neuroimaging of Epilepsy
- Chapter 7 Imaging White Matter Pathology in Epilepsy
- Chapter 8 Network Modeling of Epilepsy Using Structural and Functional MRI
- Chapter 9 Mapping Metabolism and Inflammation in Epilepsy
- Chapter 10 Interictal and Ictal Brain Network Changes in Focal Epilepsy
- Chapter 11 Ictal Events Imaged through SPECT
- Chapter 12 Imaging Cortical and Subcortical Circuitry in Generalized Epilepsies
- Part III Predicting the Response to Therapeutic Interventions
- Part IV Mapping Consequences of the Disease
- Index
- References
Chapter 6 - Computational Neuroimaging of Epilepsy
from Part II - Modeling Epileptogenic Lesions and Mapping Networks
Published online by Cambridge University Press: 07 January 2019
Book contents
- Imaging Biomarkers in Epilepsy
- Imaging Biomarkers in Epilepsy
- Copyright page
- Dedication
- Contents
- Preface
- Contributors
- Part I Imaging the Development and Early Phase of the Disease
- Part II Modeling Epileptogenic Lesions and Mapping Networks
- Chapter 6 Computational Neuroimaging of Epilepsy
- Chapter 7 Imaging White Matter Pathology in Epilepsy
- Chapter 8 Network Modeling of Epilepsy Using Structural and Functional MRI
- Chapter 9 Mapping Metabolism and Inflammation in Epilepsy
- Chapter 10 Interictal and Ictal Brain Network Changes in Focal Epilepsy
- Chapter 11 Ictal Events Imaged through SPECT
- Chapter 12 Imaging Cortical and Subcortical Circuitry in Generalized Epilepsies
- Part III Predicting the Response to Therapeutic Interventions
- Part IV Mapping Consequences of the Disease
- Index
- References
- Type
- Chapter
- Information
- Imaging Biomarkers in Epilepsy , pp. 55 - 67Publisher: Cambridge University PressPrint publication year: 2019
References
Fisher, RS, Cross, JH, D’Souza, C, et al. Instruction manual for the ILAE 2017 operational classification of seizure types. Epilepsia. 2017;58:531–42.CrossRefGoogle ScholarPubMed
Keezer, MR, Sisodiya, SM, Sander, JW. Comorbidities of epilepsy: current concepts and future perspectives. Lancet Neurol. 2016;15:106–15.Google Scholar
Devinsky, O, Hesdorffer, DC, Thurman, DJ, et al. Sudden unexpected death in epilepsy: epidemiology, mechanisms, and prevention. Lancet Neurol. 2016;15:1075–88.Google Scholar
Tellez-Zenteno, JF, Hernandez Ronquillo, L, Moien-Afshari, F, et al. Surgical outcomes in lesional and non-lesional epilepsy: a systematic review and meta-analysis. Epilepsy Res. 2010;89:310–8.CrossRefGoogle ScholarPubMed
Blumcke, I, Spreafico, R, Haaker, G, et al. Histopathological findings in brain tissue obtained during epilepsy surgery. N Engl J Med. 2017;377:1648–56.Google Scholar
Skirrow, C, Cross, JH, Cormack, F, et al. Long-term intellectual outcome after temporal lobe surgery in childhood. Neurology. 2011;76:1330–7.Google Scholar
Thom, M Review: hippocampal sclerosis in epilepsy: a neuropathology review. Neuropathol Appl Neurobiol. 2014;40:520–43.Google Scholar
Goubran, M, Bernhardt, BC, Cantor-Rivera, D, et al. In vivo MRI signatures of hippocampal subfield pathology in intractable epilepsy. Hum Brain Mapp. 2016;37:1103–19.Google Scholar
Bernasconi, A, Bernasconi, N. Unveiling epileptogenic lesions: the contribution of image processing. Epilepsia. 2011;52(suppl 4):20–4.CrossRefGoogle ScholarPubMed
Bernasconi, N, Bernasconi, A, Caramanos, Z, et al. Mesial temporal damage in temporal lobe epilepsy: a volumetric MRI study of the hippocampus, amygdala and parahippocampal region. Brain. 2003;126:462–9.CrossRefGoogle ScholarPubMed
Bernasconi, N, Bernasconi, A, Caramanos, Z, et al. Entorhinal cortex atrophy in epilepsy patients exhibiting normal hippocampal volumes. Neurology. 2001;56:1335–9.Google Scholar
McLachlan, RS, Pigott, S, Tellez-Zenteno, JF, et al. Bilateral hippocampal stimulation for intractable temporal lobe epilepsy: impact on seizures and memory. Epilepsia. 2010;51:304–7.Google Scholar
Iglesias, JE, Augustinack, JC, Nguyen, K, et al. A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: application to adaptive segmentation of in vivo MRI. NeuroImage. 2015;115:117–37.Google Scholar
Coupe, P, Manjon, JV, Fonov, V, et al. Nonlocal patch-based label fusion for hippocampus segmentation. Med Image Comput Comput Assist Interv. 2010;13:129–36.Google Scholar
Bernasconi, N, Kinay, D, Andermann, F, et al. Analysis of shape and positioning of the hippocampal formation: an MRI study in patients with partial epilepsy and healthy controls. Brain. 2005;128:2442–52.CrossRefGoogle ScholarPubMed
Kim, H, Mansi, T, Bernasconi, N, et al. Surface-based multi-template automated hippocampal segmentation: application to temporal lobe epilepsy. Med Image Anal. 2012;16:1445–55.Google Scholar
Kulaga-Yoskovitz, J, Bernhardt, BC, Hong, SJ, et al. Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset. Sci Data. 2015;2:150059.CrossRefGoogle ScholarPubMed
Sone, D, Sato, N, Maikusa, N, et al. Automated subfield volumetric analysis of hippocampus in temporal lobe epilepsy using high-resolution T2-weighted MR imaging. NeuroImage Clin. 2016;12:57–64.Google Scholar
Caldairou, B, Bernhardt, BC, Kulaga-Yoskovitz, J, et al. A surface patch-based segmentation method for hippocampal subfields. In: Ourselin, S, Joskowicz, L, Sabuncu, MR, et al., eds. Medical Image Computing and Computer-Assisted Intervention—MICCAI. 2016: 19th International Conference, Athens, Greece, October 17–21, 2016, Proceedings, pt. 2. Cham: Springer; 2016:379–87.Google Scholar
Pipitone, J, Park, MT, Winterburn, J, et al. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates. NeuroImage. 2014;101:494–512.Google Scholar
Wolz, R, Aljabar, P, Hajnal, JV, et al. LEAP: learning embeddings for atlas propagation. NeuroImage. 2010;49:1316–25.Google Scholar
Yushkevich, PA, Pluta, JB, Wang, H, et al. Automated volumetry and regional thickness analysis of hippocampal subfields and medial temporal cortical structures in mild cognitive impairment. Hum Brain Mapp. 2015;36:258–87.Google Scholar
Santyr, BG, Goubran, M, Lau, JC, et al. Investigation of hippocampal substructures in focal temporal lobe epilepsy with and without hippocampal sclerosis at 7T. J Magn Reson Imaging. 2017;45:1359–70.Google Scholar
Kim, H, Bernhardt, BC, Kulaga-Yoskovitz, J, et al. Multivariate hippocampal subfield analysis of local MRI intensity and volume: application to temporal lobe epilepsy. Med Image Comput Comput Assist Interv. 2014;17:170–8.Google Scholar
Bernhardt, BC, Bernasconi, A, Liu, M, et al. The spectrum of structural and functional imaging abnormalities in temporal lobe epilepsy. Ann Neurol. 2016;80:142–53.Google Scholar
Bernhardt, BC, Hong, SJ, Bernasconi, A, et al. Magnetic resonance imaging pattern learning in temporal lobe epilepsy: classification and prognostics. Ann Neurol. 2015;77:436–46.Google Scholar
Maccotta, L, Moseley, ED, Benzinger, TL, et al. Beyond the CA1 subfield: local hippocampal shape changes in MRI-negative temporal lobe epilepsy. Epilepsia. 2015;56:780–8.Google Scholar
Kim, H, Mansi, T, Bernasconi, A, et al. Vertex-wise shape analysis of the hippocampus: disentangling positional differences from volume changes. Med Image Comput Comput Assist Interv. 2011;14:352–9.Google ScholarPubMed
Bernasconi, N, Duchesne, S, Janke, A, et al. Whole-brain voxel-based statistical analysis of gray matter and white matter in temporal lobe epilepsy. NeuroImage. 2004;23:717–23.Google Scholar
Bernhardt, BC, Bernasconi, N, Concha, L, et al. Cortical thickness analysis in temporal lobe epilepsy: reproducibility and relation to outcome. Neurology. 2010;74:1776–84.Google Scholar
Bernhardt, BC, Bernasconi, N, Kim, H, et al. Mapping thalamocortical network pathology in temporal lobe epilepsy. Neurology. 2012;78:129–36.Google Scholar
Keller, SS, Richardson, MP, Schoene-Bake, JC, et al. Thalamotemporal alteration and postoperative seizures in temporal lobe epilepsy. Ann Neurol. 2015;77:760–74.Google Scholar
Caciagli, L, Bernhardt, BC, Hong, SJ, et al. Functional network alterations and their structural substrate in drug-resistant epilepsy. Front Neurosci. 2014;8:411.Google Scholar
Voets, NL, Bernhardt, BC, Kim, H, et al. Increased temporolimbic cortical folding complexity in temporal lobe epilepsy. Neurology. 2011;76:138–44.Google Scholar
Alhusaini, S, Whelan, CD, Doherty, CP, et al. Temporal cortex morphology in mesial temporal lobe epilepsy patients and their asymptomatic siblings. Cereb Cortex. 2016;26:1234–41.CrossRefGoogle ScholarPubMed
Alhusaini, S, Whelan, CD, Sisodiya, SM, et al. Quantitative magnetic resonance imaging traits as endophenotypes for genetic mapping in epilepsy. NeuroImage Clin. 2016;12:526–34.Google Scholar
Ahmadi, ME, Hagler, DJ Jr, McDonald, CR, et al. Side matters: diffusion tensor imaging tractography in left and right temporal lobe epilepsy. AJNR Am J Neuroradiol. 2009;30:1740–7.Google Scholar
Bonilha, L, Edwards, JC, Kinsman, SL, et al. Extrahippocampal gray matter loss and hippocampal deafferentation in patients with temporal lobe epilepsy. Epilepsia. 2010;51.CrossRefGoogle ScholarPubMed
Concha, L, Kim, H, Bernasconi, A, et al. Spatial patterns of water diffusion along white matter tracts in temporal lobe epilepsy. Neurology. 2012;79:455–62.Google Scholar
Liu, M, Bernhardt, BC, Hong, SJ, et al. The superficial white matter in temporal lobe epilepsy: a key link between structural and functional network disruptions. Brain. 2016;139:2431–40.Google Scholar
Fornito, A, Zalesky, A, Breakspear, M. The connectomics of brain disorders. Nat Rev Neurosci. 2015;16:159–72.Google Scholar
Blumcke, I, Thom, M, Aronica, E, et al. The clinicopathologic spectrum of focal cortical dysplasias: a consensus classification proposed by an ad hoc Task Force of the ILAE Diagnostic Methods Commission. Epilepsia. 2011;52:158–74.Google Scholar
Muhlebner, A, Coras, R, Kobow, K, et al. Neuropathologic measurements in focal cortical dysplasias: validation of the ILAE. 2011 classification system and diagnostic implications for MRI. Acta Neuropathol. 2012;123:259–72.Google Scholar
Barkovich, AJ, Guerrini, R, Kuzniecky, RI, et al. A developmental and genetic classification for malformations of cortical development: update. 2012. Brain. 2012;135:1348–69.CrossRefGoogle ScholarPubMed
Hong, SJ, Bernhardt, BC, Schrader, DS, et al. Whole-brain MRI phenotyping in dysplasia-related frontal lobe epilepsy. Neurology. 2016;86:643–50.Google Scholar
Trampel, R, Bazin, PL, Pine, K, et al. In-vivo magnetic resonance imaging (MRI) of laminae in the human cortex. NeuroImage. 2017. doi:10.1016/j.neuroimage.2017.09.037.Google Scholar
Stuber, C, Morawski, M, Schafer, A, et al. Myelin and iron concentration in the human brain: a quantitative study of MRI contrast. NeuroImage. 2014;93(pt 1):95–106.Google Scholar
De Ciantis, A, Barba, C, Tassi, L, et al. 7T MRI in focal epilepsy with unrevealing conventional field strength imaging. Epilepsia. 2016;57:445–54.Google Scholar
Besson, P, Andermann, F, Dubeau, F, et al. Small focal cortical dysplasia lesions are located at the bottom of a deep sulcus. Brain. 2008;131:3246–55.Google Scholar
Colliot, O, Antel, SB, Naessens, VB, et al. In vivo profiling of focal cortical dysplasia on high-resolution MRI with computational models. Epilepsia. 2006;47:134–42.Google Scholar
Bernasconi, A, Antel, SB, Collins, DL, et al. Texture analysis and morphological processing of magnetic resonance imaging assist detection of focal cortical dysplasia in extra-temporal partial epilepsy. Ann Neurol. 2001;49:770–5.Google Scholar
Antel, SB, Bernasconi, A, Bernasconi, N, et al. Computational models of MRI characteristics of focal cortical dysplasia improve lesion detection. NeuroImage. 2002;17:1755–60.Google Scholar
Huppertz, HJ, Grimm, C, Fauser, S, et al. Enhanced visualization of blurred gray-white matter junctions in focal cortical dysplasia by voxel-based 3D MRI analysis. Epilepsy Res. 2005;67:35–50.Google Scholar
Huppertz, HJ, Kurthen, M, Kassubek, J. Voxel-based 3D MRI analysis for the detection of epileptogenic lesions at single subject level. Epilepsia. 2009;50:155–6.Google Scholar
Bien, CG, Szinay, M, Wagner, J, et al. Characteristics and surgical outcomes of patients with refractory magnetic resonance imaging-negative epilepsies. Arch Neurol. 2009;66:1491–9.Google Scholar
Antel, SB, Collins, DL, Bernasconi, N, et al. Automated detection of focal cortical dysplasia lesions using computational models of their MRI characteristics and texture analysis. NeuroImage. 2003;19:1748–59.Google Scholar
Hong, SJ, Bernhardt, BC, Caldairou, B, et al. Multimodal MRI profiling of focal cortical dysplasia type II. Neurology. 2017;88:734–42.Google Scholar
Hong, SJ, Kim, H, Schrader, D, et al. Automated detection of cortical dysplasia type II in MRI-negative epilepsy. Neurology. 2014;83:48–55.Google Scholar
Gill, RS, Hong, S-J, Fadaie, F, et al. Automated detection of epileptogenic cortical malformations using multimodal MRI. In: Cardoso, MJ, Arbel, T, Carneiro, G, et al., eds. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop Proceedings. Cham: Springer; 2017:349–56.Google Scholar
Bonilha, L, Montenegro, MA, Rorden, C, et al. Voxel-based morphometry reveals excess gray matter concentration in patients with focal cortical dysplasia. Epilepsia. 2006;47:908–15.Google Scholar
Hong, SJ, Bernhardt, BC, Gill, RS, et al. The spectrum of structural and functional network alterations in malformations of cortical development. Brain. 2017;140:2133–43.Google Scholar
Meencke, HJ, Janz, D. Neuropathological findings in primary generalised epilepsy: a study of eight cases. Epilepsia. 1984;25:8–21.CrossRefGoogle ScholarPubMed
Opeskin, K, Kalnins, RM, Halliday, G, et al. Idiopathic generalized epilepsy: lack of significant microdysgenesis. Neurology. 2000;55:1101–6.Google Scholar
Betting, LE, Li, , Lopes-Cendes, I, et al. Correlation between quantitative EEG and MRI in idiopathic generalized epilepsy. Hum Brain Mapp. 2010;31:1327–38.Google Scholar
Bernhardt, BC, Rozen, DA, Worsley, KJ, et al. Thalamo-cortical network pathology in idiopathic generalized epilepsy: insights from MRI-based morphometric correlation analysis. NeuroImage. 2009;46:373–81.Google Scholar
Natsume, J, Bernasconi, N, Andermann, F, et al. MRI volumetry of the thalamus in temporal, extratemporal, and idiopathic generalized epilepsy. Neurology. 2003;60:1296–300.Google Scholar
Ciumas, C, Savic, I. Structural changes in patients with primary generalized tonic and clonic seizures. Neurology. 2006;67:683–6.CrossRefGoogle ScholarPubMed
Caplan, R, Levitt, J, Siddarth, P, et al. Frontal and temporal volumes in childhood absence epilepsy. Epilepsia. 2009;50:2466–72.Google Scholar
Chan, CH, Briellmann, RS, Pell, GS, et al. Thalamic atrophy in childhood absence epilepsy. Epilepsia. 2006;47:399–405.Google Scholar
O’Muircheartaigh, J, Vollmar, C, Barker, GJ, et al. Focal structural changes and cognitive dysfunction in juvenile myoclonic epilepsy. Neurology. 2011;76:34–40.Google Scholar
Tae, WS, Kim, SH, Joo, EY, et al. Cortical thickness abnormality in juvenile myoclonic epilepsy. J Neurol. 2008;255:561–6.Google Scholar
Ronan, L, Alhusaini, S, Scanlon, C, et al. Widespread cortical morphologic changes in juvenile myoclonic epilepsy: evidence from structural MRI. Epilepsia. 2012;53:651–8.Google Scholar
Zhang, Z, Liao, W, Chen, H, et al. Altered functional-structural coupling of large-scale brain networks in idiopathic generalized epilepsy. Brain. 2011;134:2912–28.Google Scholar
Liao, W, Zhang, Z, Mantini, D, et al. Relationship between large-scale functional and structural covariance networks in idiopathic generalized epilepsy. Brain Connect. 2013;3:240–54.Google Scholar