{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T13:49:18Z","timestamp":1787060958977,"version":"build-2736575974"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T00:00:00Z","timestamp":1771372800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T00:00:00Z","timestamp":1771372800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100013068","name":"Key Technologies Research and Development Program of Guangzhou Municipality","doi-asserted-by":"publisher","award":["202206010028"],"award-info":[{"award-number":["202206010028"]}],"id":[{"id":"10.13039\/501100013068","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Fundamental Research Funds for the Central Universities, Sun Yat-sen University","award":["24xkjc025"],"award-info":[{"award-number":["24xkjc025"]}]},{"name":"the Key Areas Research plan of the Guangdong S&T programme","award":["2025B0101120008"],"award-info":[{"award-number":["2025B0101120008"]}]},{"name":"Province Natural Science Foundation of Guangdong","award":["2024A1515011989"],"award-info":[{"award-number":["2024A1515011989"]}]},{"name":"Province Natural Science Foundation of Guangdong","award":["2025A1515012872"],"award-info":[{"award-number":["2025A1515012872"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Health Inf Sci Syst"],"DOI":"10.1007\/s13755-026-00436-z","type":"journal-article","created":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T16:43:48Z","timestamp":1771433028000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Complex temporal network analysis based on the difference visibility graph for epilepsy with and without electrical status epilepticus during sleep (ESES) patients"],"prefix":"10.1007","volume":"14","author":[{"given":"Zhipeng","family":"He","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinxin","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shishi","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianping","family":"Man","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziyi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4774-2234","authenticated-orcid":false,"given":"Yi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,2,18]]},"reference":[{"key":"436_CR1","volume-title":"Electrical status epilepticus in sleep","author":"D Samanta","year":"2024","unstructured":"Samanta D, Al Khalili Y. Electrical status epilepticus in sleep. Treasure Island: StatPearls Publishing; 2024."},{"key":"436_CR2","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/j.seizure.2006.02.008","volume":"15","author":"L Nieuwenhuis","year":"2006","unstructured":"Nieuwenhuis L, Nicolai J. The pathophysiological mechanisms of cognitive and behavioral disturbances in children with Landau-Kleffner syndrome or epilepsy with continuous spike-and-waves during slow-wave sleep. Seizure. 2006;15:249\u201358.","journal-title":"Seizure"},{"key":"436_CR3","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.eplepsyres.2013.02.010","volume":"105","author":"RH Caraballo","year":"2013","unstructured":"Caraballo RH, et al. Encephalopathy with status epilepticus during sleep or continuous spikes and waves during slow sleep syndrome: a multicenter, long-term follow-up study of 117 patients. Epilepsy Res. 2013;105:164\u201373.","journal-title":"Epilepsy Res"},{"key":"436_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1684\/epd.2012.0482","volume":"14","author":"P Veggiotti","year":"2012","unstructured":"Veggiotti P, et al. Therapy of encephalopathy with status epilepticus during sleep (ESES\/CSWS syndrome): an update. Epileptic Disord. 2012;14:1\u201311.","journal-title":"Epileptic Disord"},{"key":"436_CR5","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.yebeh.2016.05.014","volume":"61","author":"P Gencpinar","year":"2016","unstructured":"Gencpinar P, Dundar NO, Tekgul H. Electrical status epilepticus in sleep (ESES)\/continuous spikes and waves during slow sleep (CSWS) syndrome in children: an electroclinical evaluation according to the EEG patterns. Epilepsy Behav. 2016;61:107\u201311.","journal-title":"Epilepsy Behav"},{"key":"436_CR6","first-page":"9","volume-title":"A concise clinical guide","author":"Z Haneef","year":"2025","unstructured":"Haneef Z, Matsumoto JH. Epilepsy fundamentals. In: A concise clinical guide. Springer; 2025. p. 9\u201336."},{"key":"436_CR7","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1097\/00004691-199107010-00006","volume":"8","author":"PB Jayakar","year":"1991","unstructured":"Jayakar PB, Seshia SS. Electrical status epilepticus during slow-wave sleep: a review. J Clin Neurophysiol. 1991;8:299\u2013311.","journal-title":"J Clin Neurophysiol"},{"key":"436_CR8","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1212\/cont.0000000000001526","volume":"31","author":"D Weber","year":"2025","unstructured":"Weber D. EEG in epilepsy. Continuum (Minneap Minn). 2025;31:38\u201360.","journal-title":"Continuum (Minneap Minn)"},{"key":"436_CR9","volume":"2012","author":"D Brazzo","year":"2012","unstructured":"Brazzo D, et al. Epileptic encephalopathies with status epilepticus during sleep: new techniques for understanding pathophysiology and therapeutic options. Epilepsy Res Treat. 2012;2012:642725.","journal-title":"Epilepsy Res Treat"},{"key":"436_CR10","doi-asserted-by":"publisher","DOI":"10.1002\/brb3.3056","volume":"13","author":"C Yang","year":"2023","unstructured":"Yang C, et al. Ocular emotion discrimination disorders in self-limited epilepsy patients with centrotemporal spikes complicated with electrical status epilepticus during sleep: a pediatric neuropsychological study. Brain Behav. 2023;13:e3056.","journal-title":"Brain Behav"},{"key":"436_CR11","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/111\/56001","volume":"111","author":"G Bianconi","year":"2015","unstructured":"Bianconi G. Interdisciplinary and physics challenges of network theory. Europhys Lett. 2015;111:56001.","journal-title":"Europhys Lett"},{"key":"436_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1753-4631-1-3","volume":"1","author":"CJ Stam","year":"2007","unstructured":"Stam CJ, Reijneveld JC. Graph theoretical analysis of complex networks in the brain. Nonlinear Biomed Phys. 2007;1:1\u201319.","journal-title":"Nonlinear Biomed Phys"},{"key":"436_CR13","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1038\/nrn2575","volume":"10","author":"E Bullmore","year":"2009","unstructured":"Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009;10:186\u201398.","journal-title":"Nat Rev Neurosci"},{"key":"436_CR14","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2023.1268485","volume":"17","author":"S Sulaimany","year":"2023","unstructured":"Sulaimany S, Safahi Z. Visibility graph analysis for brain: scoping review. Front Neurosci. 2023;17:1268485.","journal-title":"Front Neurosci"},{"key":"436_CR15","doi-asserted-by":"publisher","first-page":"6554","DOI":"10.1109\/ACCESS.2016.2612242","volume":"4","author":"S Supriya","year":"2016","unstructured":"Supriya S, Siuly S, Wang H, Cao J, Zhang Y. Weighted visibility graph with complex network features in the detection of epilepsy. IEEE Access. 2016;4:6554\u201366.","journal-title":"IEEE Access"},{"key":"436_CR16","doi-asserted-by":"publisher","first-page":"4972","DOI":"10.1073\/pnas.0709247105","volume":"105","author":"L Lacasa","year":"2008","unstructured":"Lacasa L, Luque B, Ballesteros F, Luque J, Nuno JC. From time series to complex networks: the visibility graph. Proc Natl Acad Sci USA. 2008;105:4972\u20135.","journal-title":"Proc Natl Acad Sci USA"},{"key":"436_CR17","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.cmpb.2005.06.005","volume":"80","author":"N Kannathal","year":"2005","unstructured":"Kannathal N, Acharya UR, Lim CM, Sadasivan P. Characterization of EEG\u2014a comparative study. Comput Methods Programs Biomed. 2005;80:17\u201323.","journal-title":"Comput Methods Programs Biomed"},{"key":"436_CR18","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.80.046103","volume":"80","author":"B Luque","year":"2009","unstructured":"Luque B, Lacasa L, Ballesteros F, Luque J. Horizontal visibility graphs: exact results for random time series. Phys Rev E. 2009;80:046103.","journal-title":"Phys Rev E"},{"key":"436_CR19","doi-asserted-by":"publisher","first-page":"1813","DOI":"10.1109\/JBHI.2014.2303991","volume":"18","author":"G Zhu","year":"2014","unstructured":"Zhu G, Li Y, Wen P. Analysis and classification of sleep stages based on difference visibility graphs from a single-channel EEG signal. IEEE J Biomed Health Inform. 2014;18:1813\u201321.","journal-title":"IEEE J Biomed Health Inform"},{"key":"436_CR20","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/S0920-1211(01)00191-7","volume":"44","author":"L Nobili","year":"2001","unstructured":"Nobili L, et al. Distribution of epileptiform discharges during nREM sleep in the CSWSS syndrome: relationship with sigma and delta activities. Epilepsy Res. 2001;44:119\u201328.","journal-title":"Epilepsy Res"},{"key":"436_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.109028","volume":"181","author":"Y Shi","year":"2024","unstructured":"Shi Y, et al. Continual learning for seizure prediction via memory projection strategy. Comput Biol Med. 2024;181:109028.","journal-title":"Comput Biol Med"},{"key":"436_CR22","doi-asserted-by":"publisher","DOI":"10.1142\/S0218348X13500114","volume":"21","author":"R Uthayakumar","year":"2013","unstructured":"Uthayakumar R, Easwaramoorthy D. Epileptic seizure detection in EEG signals using multifractal analysis and wavelet transform. Fractals. 2013;21:1350011.","journal-title":"Fractals"},{"key":"436_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/s13755-023-00239-6","volume":"11","author":"Y Wang","year":"2023","unstructured":"Wang Y, Shi Y, He Z, Chen Z, Zhou Y. Combining temporal and spatial attention for seizure prediction. Health Inf Sci Syst. 2023;11:38.","journal-title":"Health Inf Sci Syst"},{"key":"436_CR24","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/0960-0779(95)80025-C","volume":"6","author":"S Havlin","year":"1995","unstructured":"Havlin S, et al. Fractals in biology and medicine. Chaos, Solitons Fractals. 1995;6:171\u2013201.","journal-title":"Chaos, Solitons Fractals"},{"key":"436_CR25","doi-asserted-by":"crossref","unstructured":"Castiglioni P, Faes L, Valenza G. Assessing complexity in physiological systems through biomedical signals analysis. Entropy. 2020;22:1005.","DOI":"10.3390\/e22091005"},{"key":"436_CR26","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1109\/RBME.2021.3055956","volume":"16","author":"S Supriya","year":"2021","unstructured":"Supriya S, Siuly S, Wang H, Zhang Y. Epilepsy detection from EEG using complex network techniques: a review. IEEE Rev Biomed Eng. 2021;16:292\u2013306.","journal-title":"IEEE Rev Biomed Eng"},{"key":"436_CR27","doi-asserted-by":"publisher","first-page":"559","DOI":"10.3390\/e14030559","volume":"14","author":"A Mowshowitz","year":"2012","unstructured":"Mowshowitz A, Dehmer M. Entropy and the complexity of graphs revisited. Entropy. 2012;14:559\u201370.","journal-title":"Entropy"},{"key":"436_CR28","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.jneumeth.2017.07.013","volume":"290","author":"L Wang","year":"2017","unstructured":"Wang L, Long X, Arends JB, Aarts RM. EEG analysis of seizure patterns using visibility graphs for detection of generalized seizures. J Neurosci Methods. 2017;290:85\u201394.","journal-title":"J Neurosci Methods"},{"key":"436_CR29","doi-asserted-by":"crossref","unstructured":"He Z, Zhong Y, Pan J. Emotion-related awareness detection for patients with disorders of consciousness via graph isomorphic network. In IEEE international conference on systems, man, and cybernetics (SMC), pp. 3158\u20133164 (2022).","DOI":"10.1109\/SMC53654.2022.9945265"},{"key":"436_CR30","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1007\/0-387-25871-X_5","volume-title":"Complexity in chemistry, biology, and ecology","author":"D Bonchev","year":"2005","unstructured":"Bonchev D, Buck GA. Complexity in chemistry, biology, and ecology. Springer Science & Business Media; 2005. p. 191\u2013235."},{"key":"436_CR31","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1080\/02697459.2020.1852664","volume":"36","author":"D Zachary","year":"2021","unstructured":"Zachary D, Dobson S. Urban development and complexity: Shannon entropy as a measure of diversity. Planning Pract Res. 2021;36:157\u201373.","journal-title":"Planning Pract Res"},{"key":"436_CR32","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.80.045102","volume":"80","author":"K Anand","year":"2009","unstructured":"Anand K, Bianconi G. Entropy measures for networks: toward an information theory of complex topologies. Phys Rev E. 2009;80:045102.","journal-title":"Phys Rev E"},{"key":"436_CR33","doi-asserted-by":"publisher","DOI":"10.3390\/e22090917","volume":"22","author":"S Keshmiri","year":"2020","unstructured":"Keshmiri S. Entropy and the brain: an overview. Entropy. 2020;22:917.","journal-title":"Entropy"},{"key":"436_CR34","doi-asserted-by":"publisher","first-page":"5047","DOI":"10.1111\/ejn.15800","volume":"56","author":"ZJ Lau","year":"2022","unstructured":"Lau ZJ, Pham T, Chen SA, Makowski D. Brain entropy, fractal dimensions and predictability: a review of complexity measures for EEG in healthy and neuropsychiatric populations. Eur J Neurosci. 2022;56:5047\u201369.","journal-title":"Eur J Neurosci"},{"key":"436_CR35","first-page":"367","volume-title":"EEG-GCNN: augmenting electroencephalogram-based neurological disease diagnosis using a domain-guided graph convolutional neural network","author":"N Wagh","year":"2020","unstructured":"Wagh N, Varatharajah Y. EEG-GCNN: augmenting electroencephalogram-based neurological disease diagnosis using a domain-guided graph convolutional neural network. Machine Learning for Health; 2020. p. 367\u201378."},{"key":"436_CR36","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2023.1288295","volume":"15","author":"X Zheng","year":"2023","unstructured":"Zheng X, et al. Diagnosis of Alzheimer\u2019s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features. Front Aging Neurosci. 2023;15:1288295.","journal-title":"Front Aging Neurosci"},{"key":"436_CR37","doi-asserted-by":"publisher","DOI":"10.1093\/braincomms\/fcaf319","volume":"7","author":"\u00c9 Lemoine","year":"2025","unstructured":"Lemoine \u00c9, et al. Improving diagnostic accuracy of routine EEG for epilepsy using deep learning. Brain Commun. 2025;7:319.","journal-title":"Brain Commun"},{"key":"436_CR38","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1016\/j.pediatrneurol.2012.06.016","volume":"47","author":"IS Fern\u00e1ndez","year":"2012","unstructured":"Fern\u00e1ndez IS, Loddenkemper T, Peters JM, Kothare SV. Electrical status epilepticus in sleep: clinical presentation and pathophysiology. Pediatr Neurol. 2012;47:390\u2013410.","journal-title":"Pediatr Neurol"},{"key":"436_CR39","volume":"2013","author":"P Jain","year":"2013","unstructured":"Jain P, Sharma S, Tripathi M. Diagnosis and management of epileptic encephalopathies in children. Epilepsy Res Treat. 2013;2013:501981.","journal-title":"Epilepsy Res Treat"},{"key":"436_CR40","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.tics.2011.03.006","volume":"15","author":"DS Bassett","year":"2011","unstructured":"Bassett DS, Gazzaniga MS. Understanding complexity in the human brain. Trends Cogn Sci. 2011;15:200\u20139.","journal-title":"Trends Cogn Sci"},{"key":"436_CR41","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1038\/s41583-023-00718-5","volume":"24","author":"C Seguin","year":"2023","unstructured":"Seguin C, Sporns O, Zalesky A. Brain network communication: concepts, models and applications. Nat Rev Neurosci. 2023;24:557\u201374.","journal-title":"Nat Rev Neurosci"},{"key":"436_CR42","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.bspc.2011.08.002","volume":"7","author":"S Erla","year":"2012","unstructured":"Erla S, et al. Multivariate EEG spectral analysis evidences the functional link between motor and visual cortex during integrative sensorimotor tasks. Biomed Signal Process Control. 2012;7:221\u20137.","journal-title":"Biomed Signal Process Control"},{"key":"436_CR43","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1016\/B978-0-444-63622-5.00018-8","volume":"151","author":"HB Coslett","year":"2018","unstructured":"Coslett HB, Schwartz MF. The parietal lobe and language. Handb Clin Neurol. 2018;151:365\u201375.","journal-title":"Handb Clin Neurol"},{"key":"436_CR44","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.tics.2006.10.011","volume":"11","author":"M Husain","year":"2007","unstructured":"Husain M, Nachev P. Space and the parietal cortex. Trends Cogn Sci. 2007;11:30\u20136.","journal-title":"Trends Cogn Sci"},{"key":"436_CR45","doi-asserted-by":"publisher","first-page":"1840","DOI":"10.55730\/1300-0144.5754","volume":"53","author":"HG D\u00fczkalir","year":"2023","unstructured":"D\u00fczkalir HG, Gen\u00e7 B, Sa\u011fer SG, T\u00fcrkyilmaz A, G\u00fcnbey HP. Microstructural evaluation of the brain with advanced magnetic resonance imaging techniques in cases of electrical status epilepticus during sleep (ESES). Turk J Med Sci. 2023;53:1840\u201351.","journal-title":"Turk J Med Sci"},{"key":"436_CR46","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.eplepsyres.2006.01.020","volume":"70","author":"M Van Hirtum-Das","year":"2006","unstructured":"Van Hirtum-Das M, et al. Children with ESES: variability in the syndrome. Epilepsy Res. 2006;70:248\u201358.","journal-title":"Epilepsy Res"},{"key":"436_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.14581\/jer.17001","volume":"7","author":"YJ Lee","year":"2017","unstructured":"Lee YJ, Hwang SK, Kwon S. The clinical spectrum of benign epilepsy with centro-temporal spikes: a challenge in categorization and predictability. J Epilepsy Res. 2017;7:1.","journal-title":"J Epilepsy Res"},{"key":"436_CR48","unstructured":"Tassinari CA et al. Encephalopathy related to status epilepticus during slow sleep (ESES) including Landau-Kleffner syndrome. In Epileptic syndromes in infancy, childhood and adolescence, pp. 255\u2013275 (2012)."},{"key":"436_CR49","unstructured":"Krippendorff K. Mathematical theory of communication. In Encyclopedia of communication theory, pp. 614\u2013618 (2009)."},{"key":"436_CR50","doi-asserted-by":"publisher","first-page":"2350001","DOI":"10.1142\/S0218348X23500019","volume":"31","author":"S Dorosti","year":"2023","unstructured":"Dorosti S, Namazi H, Khosrowabadi R. Analysis of the complexity of EEG signals in relation to the complexity of fractal animations. Fractals. 2023;31:2350001.","journal-title":"Fractals"},{"key":"436_CR51","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.seizure.2019.05.023","volume":"71","author":"D Cao","year":"2019","unstructured":"Cao D, et al. Scalp EEG high frequency oscillations as a biomarker of treatment response in epileptic encephalopathy with continuous spike-and-wave during sleep (CSWS). Seizure. 2019;71:151\u20137.","journal-title":"Seizure"},{"key":"436_CR52","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci11081026","volume":"11","author":"AH Al-Nuaimi","year":"2021","unstructured":"Al-Nuaimi AH, et al. Robust EEG based biomarkers to detect Alzheimer\u2019s disease. Brain Sci. 2021;11:1026.","journal-title":"Brain Sci"},{"key":"436_CR53","doi-asserted-by":"crossref","unstructured":"Sancho ML, Ellis CA, Miller RL, Calhoun VD. Identifying reproducibly important EEG markers of schizophrenia with an explainable multi-model deep learning approach. In 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1\u20134 (2024).","DOI":"10.1109\/EMBC53108.2024.10781959"},{"key":"436_CR54","doi-asserted-by":"publisher","DOI":"10.1016\/j.brainresbull.2025.111628","author":"J Yang","year":"2025","unstructured":"Yang J, Liu R, Wang Y, Li L, Liu X. EEG microstate biomarkers for major depressive disorder: a comparative analysis using two independent datasets. Brain Res Bull. 2025. https:\/\/doi.org\/10.1016\/j.brainresbull.2025.111628.","journal-title":"Brain Res Bull"},{"key":"436_CR55","doi-asserted-by":"publisher","DOI":"10.34133\/hds.0283","volume":"5","author":"Z He","year":"2025","unstructured":"He Z, et al. Brain connectivity yields insights into the pathogenesis of epilepsy and subtypes: evidence from Mendelian randomization analysis. Health Data Sci. 2025;5:0283.","journal-title":"Health Data Sci"},{"key":"436_CR56","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.neuron.2013.12.025","volume":"81","author":"G Tononi","year":"2014","unstructured":"Tononi G, Cirelli C. Sleep and the price of plasticity: from synaptic and cellular homeostasis to memory consolidation and integration. Neuron. 2014;81:12\u201334.","journal-title":"Neuron"},{"key":"436_CR57","volume-title":"Cognitive and behavioural disorders of epileptic origin in children","author":"T Deonna","year":"2010","unstructured":"Deonna T, Roulet Perez E. Cognitive and behavioural disorders of epileptic origin in children. Mac Keith Press; 2010."},{"key":"436_CR58","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1177\/0883073812447682","volume":"28","author":"J Vannest","year":"2013","unstructured":"Vannest J, et al. Functional magnetic resonance imaging reveals changes in language localization in children with benign childhood epilepsy with centrotemporal spikes. J Child Neurol. 2013;28:435\u201345.","journal-title":"J Child Neurol"},{"key":"436_CR59","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1111\/j.1528-1167.2009.02211.x","volume":"50","author":"M Scheltens-de Boer","year":"2009","unstructured":"Scheltens-de Boer M. Guidelines for EEG in encephalopathy related to ESES\/CSWS in children. Epilepsia. 2009;50:13\u20137.","journal-title":"Epilepsia"}],"container-title":["Health Information Science and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13755-026-00436-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13755-026-00436-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13755-026-00436-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T17:08:00Z","timestamp":1771434480000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13755-026-00436-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,18]]},"references-count":59,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["436"],"URL":"https:\/\/doi.org\/10.1007\/s13755-026-00436-z","relation":{},"ISSN":["2047-2501"],"issn-type":[{"value":"2047-2501","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,18]]},"assertion":[{"value":"24 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 February 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 February 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors confirm that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The data of this study involving human participants were reviewed and approved by Medical Ethics Committee of First Affiliated Hospital, Sun Yat-sen University.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}],"article-number":"42"}}