Moshé SL, Perucca E, Ryvlin P, Tomson T. Epilepsy: new advances. Lancet. 2015;385:884–98. https://doi.org/10.1016/S0140-6736(14)60456-6
Thijs RD, Surges R, O’Brien TJ, Sander JW. Epilepsy in adults. Lancet. 2019;393:689–701. https://doi.org/10.1016/S0140-6736(18)32596-0
Neligan A, Hauser WA, Sander JW. The epidemiology of the epilepsies. Handb Clin Neurol. 2012;107:113–33. https://doi.org/10.1016/B978-0-444-52898-8.00006-9
Tian N, Boring M, Kobau R, Zack MM, Croft JB. Active epilepsy and seizure control in adults - United States, 2013 and 2015. MMWR Morb Mortal Wkly Rep. 2018;67:437–42. https://doi.org/10.15585/mmwr.mm6715a1
Article PubMed PubMed Central Google Scholar
Boling WW, Lancaster M, Kraszpulski M, Palade A, Marano G, Puce A. Fluorodeoxyglucose-positron emission tomographic imaging for the diagnosis of mesial temporal lobe epilepsy. Neurosurgery. 2008;63:1130–8. https://doi.org/10.1227/01.NEU.0000334429.15867.3B. discussion 1138.
Burneo JG, Poon R, Kellett S, Snead OC. The utility of positron emission tomography in epilepsy. Can J Neurol Sci. 2015;42:360–71. https://doi.org/10.1017/cjn.2015.279
Perissinotti A, Setoain X, Aparicio J, Rubí S, Fuster BM, Donaire A, et al. Clinical role of subtraction Ictal SPECT coregistered to MR imaging and 18F-FDG PET in pediatric Epilepsy. J Nucl Med. 2014;55:1099–105. https://doi.org/10.2967/jnumed.113.136432
Article PubMed CAS Google Scholar
Tian M, Watanabe Y, Kang KW, et al. International consensus on the use of [18F]-FDG PET/CT in pediatric patients affected by epilepsy. Eur J Nucl Med Mol Imaging. 2021;48:3827–34. https://doi.org/10.1007/s00259-021-05524-8
Zhu Y, Feng J, Wu S, Hou H, Ji J, Zhang K, et al. Glucose Metabolic Profile by Visual Assessment combined with Statistical Parametric Mapping Analysis in Pediatric patients with Epilepsy. J Nucl Med. 2017;58:1293–9. https://doi.org/10.2967/jnumed.116.187492
Article PubMed CAS Google Scholar
Yakushev I, Drzezga A, Habeck C. Metabolic connectivity: methods and applications. Curr Opin Neurol. 2017;30:677–85. https://doi.org/10.1097/WCO.0000000000000494
Vanicek T, Hahn A, Traub-Weidinger T, Hilger E, Spies M, Wadsak W, et al. Insights into intrinsic brain networks based on graph theory and PET in right- compared to left-sided temporal lobe epilepsy. Sci Rep. 2016;6:28513. https://doi.org/10.1038/srep28513
Article PubMed PubMed Central CAS Google Scholar
Wang K-L, Hu W, Liu T-H, Zhao X-B, Han C-L, Xia X-T, et al. Metabolic covariance networks combining graph theory measuring aberrant topological patterns in mesial temporal lobe epilepsy. CNS Neurosci Ther. 2019;25:396–408. https://doi.org/10.1111/cns.13073
Shim H-K, Lee H-J, Kim SE, Lee BI, Park S, Park KM. Alterations in the metabolic networks of temporal lobe epilepsy patients: a graph theoretical analysis using FDG-PET. Neuroimage Clin. 2020;27:102349. https://doi.org/10.1016/j.nicl.2020.102349
Article PubMed PubMed Central Google Scholar
Govil-Dalela T, Kumar A, Behen ME, Chugani HT, Juhász C. Evolution of lobar abnormalities of cerebral glucose metabolism in 41 children with drug-resistant epilepsy. Epilepsia. 2018;59:1307–15. https://doi.org/10.1111/epi.14404
Article PubMed PubMed Central CAS Google Scholar
Kwan P, Arzimanoglou A, Berg AT, Brodie MJ, Allen Hauser W, Mathern G, et al. Definition of drug resistant epilepsy: consensus proposal by the ad hoc task force of the ILAE commission on therapeutic strategies. Epilepsia. 2010;51:1069–77. https://doi.org/10.1111/j.1528-1167.2009.02397.x
Article PubMed CAS Google Scholar
Gaillard WD, Weinstein S, Conry J, Pearl PL, Fazilat S, Fazilat S, et al. Prognosis of children with partial epilepsy: MRI and serial 18FDG-PET. Neurology. 2007;68:655–9. https://doi.org/10.1212/01.wnl.0000255942.25101.8d
Article PubMed CAS Google Scholar
Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage. 2002;15:273–89. https://doi.org/10.1006/nimg.2001.0978
Article PubMed CAS Google Scholar
Mijalkov M, Kakaei E, Pereira JB, Westman E, Volpe G. Initiative for the ADNI. BRAPH: a graph theory software for the analysis of brain connectivity. PLoS ONE. 2017;12:e0178798. https://doi.org/10.1371/journal.pone.0178798
Article PubMed PubMed Central CAS Google Scholar
Chen Z, Lusicic A, O’Brien TJ, Velakoulis D, Adams SJ, Kwan P. Psychotic disorders induced by antiepileptic drugs in people with epilepsy. Brain. 2016;139:2668–78. https://doi.org/10.1093/brain/aww196
la Fougère C, Rominger A, Förster S, Geisler J, Bartenstein P. PET and SPECT in epilepsy: a critical review. Epilepsy Behav. 2009;15(1):50–5. https://doi.org/10.1016/j.yebeh.2009.02.025
DeCarli C, Hatta J, Fazilat S, Fazilat S, Gaillard WD, Theodore WH. Extratemporal atrophy in patients with complex partial seizures of left temporal origin. Ann Neurol. 1998;43:41–5. https://doi.org/10.1002/ana.410430110
Article PubMed CAS Google Scholar
De Tiège X, Trotta N, Op de Beeck M, Bourguignon M, Marty B, Wens V, et al. Neurophysiological activity underlying altered brain metabolism in epileptic encephalopathies with CSWS. Epilepsy Res. 2013;105:316–25. https://doi.org/10.1016/j.eplepsyres.2013.02.025
Article PubMed CAS Google Scholar
Johnson GW, Doss DJ, Morgan VL, et al. The interictal suppression hypothesis in focal epilepsy: network-level supporting evidence. Brain. 2023;146(7):2828–45. https://doi.org/10.1093/brain/awad016
Article PubMed PubMed Central Google Scholar
Li H, Badawi RD, Cherry SR, et al. Performance characteristics of the NeuroEXPLORER, a next-generation human brain PET/CT imager. J Nucl Med. 2024;65(8):1320–6. https://doi.org/10.2967/jnumed.124.267767
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