{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T02:52:30Z","timestamp":1790218350661,"version":"4.1.0"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,11,10]],"date-time":"2021-11-10T00:00:00Z","timestamp":1636502400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000925","name":"NHMRC","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000925","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Clinical Neurophysiology"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1016\/j.clinph.2021.09.022","type":"journal-article","created":{"date-parts":[[2021,11,5]],"date-time":"2021-11-05T18:14:46Z","timestamp":1636136086000},"page":"157-164","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":11,"special_numbering":"C","title":["Coherent false seizure prediction in epilepsy, coincidence or providence?"],"prefix":"10.1016","volume":"133","author":[{"given":"Jens","family":"M\u00fcller","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongliu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Eberlein","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georg","family":"Leonhardt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ortrud","family":"Uckermann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Levin","family":"Kuhlmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ronald","family":"Tetzlaff","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"6","key":"10.1016\/j.clinph.2021.09.022_b0005","article-title":"Bivariate surrogate techniques: necessity, strengths, and caveats","volume":"68","author":"Andrzejak","year":"2003","journal-title":"Phys Rev E - Stat Phys, Plasmas, Fluids, Related Interdiscipl Top"},{"issue":"2","key":"10.1016\/j.clinph.2021.09.022_b0010","doi-asserted-by":"crossref","first-page":"1430001","DOI":"10.1142\/S0129065714300010","article-title":"Cortical excitability as a potential clinical marker of epilepsy: A review of the clinical application of transcranial magnetic stimulation","volume":"24","author":"Bauer","year":"2014","journal-title":"Int J Neural Syst"},{"issue":"6","key":"10.1016\/j.clinph.2021.09.022_b0015","doi-asserted-by":"crossref","first-page":"1713","DOI":"10.1093\/brain\/aww045","article-title":"Crowdsourcing reproducible seizure forecasting in human and canine epilepsy","volume":"139","author":"Brinkmann","year":"2016","journal-title":"Brain"},{"issue":"3","key":"10.1016\/j.clinph.2021.09.022_b0020","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1016\/j.eplepsyres.2013.06.007","article-title":"Feasibility study of a caregiver seizure alert system in canine epilepsy","volume":"106","author":"Coles","year":"2013","journal-title":"Epilepsy Res"},{"issue":"6","key":"10.1016\/j.clinph.2021.09.022_b0025","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1016\/S1474-4422(13)70075-9","article-title":"Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study","volume":"12","author":"Cook","year":"2013","journal-title":"Lancet Neurol"},{"issue":"1\u20132","key":"10.1016\/j.clinph.2021.09.022_b0030","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.eplepsyres.2011.05.011","article-title":"A novel implanted device to wirelessly record and analyze continuous intracranial canine EEG","volume":"96","author":"Davis","year":"2011","journal-title":"Epilepsy Res"},{"issue":"3","key":"10.1016\/j.clinph.2021.09.022_b0035","doi-asserted-by":"crossref","DOI":"10.1142\/S012906571750006X","article-title":"A Realistic Seizure Prediction Study Based on Multiclass SVM","volume":"27","author":"Direito","year":"2017","journal-title":"Int J Neural Syst"},{"key":"10.1016\/j.clinph.2021.09.022_b0040","doi-asserted-by":"crossref","unstructured":"Eberlein, M., Hildebrand, R., Tetzlaff, R., Hoffmann, N., Kuhlmann, L., Brinkmann, B., M\u00fcller, J., Dec. 2018. Convolutional Neural Networks for Epileptic Seizure Prediction. In: Proc. IEEE Int. Conf. Bioinformatics and Biomedicine (BIBM). pp. 2577\u20132582.","DOI":"10.1109\/BIBM.2018.8621225"},{"issue":"1","key":"10.1016\/j.clinph.2021.09.022_b0045","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1515\/cdbme-2019-0028","article-title":"Evaluation of machine learning methods for seizure prediction in epilepsy","volume":"5","author":"Eberlein","year":"2019","journal-title":"Curr Direct Biomed Eng"},{"issue":"2","key":"10.1016\/j.clinph.2021.09.022_b0050","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1097\/WCO.0000000000000429","article-title":"A forward-looking review of seizure prediction","volume":"30","author":"Freestone","year":"2017","journal-title":"Curr Opin Neurol"},{"issue":"SUPPL. 1","key":"10.1016\/j.clinph.2021.09.022_b0055","doi-asserted-by":"crossref","first-page":"S110","DOI":"10.1016\/j.yebeh.2011.09.005","article-title":"Electrical probing of cortical excitability in patients with epilepsy","volume":"22","author":"Freestone","year":"2011","journal-title":"Epilepsy Behav"},{"key":"10.1016\/j.clinph.2021.09.022_b0060","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.jneumeth.2015.06.010","article-title":"Seizure prediction for therapeutic devices: A review","volume":"260","author":"Gadhoumi","year":"2016","journal-title":"J Neurosci Methods"},{"key":"10.1016\/j.clinph.2021.09.022_b0065","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.jneumeth.2014.05.019","article-title":"An efficient seizure prediction method using KNN-based undersampling and linear frequency measures","volume":"232","author":"Ghaderyan","year":"2014","journal-title":"J Neurosci Methods"},{"key":"10.1016\/j.clinph.2021.09.022_b0070","doi-asserted-by":"crossref","unstructured":"Hanley, J.A., J., M.B., 1982. The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) Curve. Radiology 143, 29\u201336.","DOI":"10.1148\/radiology.143.1.7063747"},{"issue":"1","key":"10.1016\/j.clinph.2021.09.022_b0075","doi-asserted-by":"crossref","first-page":"e81920","DOI":"10.1371\/journal.pone.0081920","article-title":"Forecasting seizures in dogs with naturally occurring epilepsy","volume":"9","author":"Howbert","year":"2014","journal-title":"PLoS One"},{"issue":"SUPPL. 1","key":"10.1016\/j.clinph.2021.09.022_b0080","doi-asserted-by":"crossref","first-page":"S102","DOI":"10.1016\/j.yebeh.2011.08.017","article-title":"Computational model prospective on the observation of proictal states in epileptic neuronal systems","volume":"22","author":"Kalitzin","year":"2011","journal-title":"Epilepsy & Behav"},{"issue":"8","key":"10.1016\/j.clinph.2021.09.022_b0085","doi-asserted-by":"crossref","first-page":"2169","DOI":"10.1093\/brain\/awx173","article-title":"The circadian profile of epilepsy improves seizure forecasting","volume":"140","author":"Karoly","year":"2017","journal-title":"Brain"},{"key":"10.1016\/j.clinph.2021.09.022_b0090","doi-asserted-by":"crossref","unstructured":"Korshunova, I., Kindermans, P.J., Degrave, J., Verhoeven, T., Brinkmann, B.H., Dambre, J., 2018. Towards Improved Design and Evaluation of Epileptic Seizure Predictors. IEEE Trans. Biomed. Eng.","DOI":"10.1109\/TBME.2017.2700086"},{"issue":"2\u20133","key":"10.1016\/j.clinph.2021.09.022_b0095","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.eplepsyres.2010.07.014","article-title":"Patient-specific bivariate-synchrony-based seizure prediction for short prediction horizons","volume":"91","author":"Kuhlmann","year":"2010","journal-title":"Epilepsy Res"},{"issue":"9","key":"10.1016\/j.clinph.2021.09.022_b0100","first-page":"2619","article-title":"Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG","volume":"141","author":"Kuhlmann","year":"2018","journal-title":"Brain"},{"key":"10.1016\/j.clinph.2021.09.022_b0105","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1038\/s41582-018-0055-2","article-title":"Seizure prediction - ready for a new era","volume":"14","author":"Kuhlmann","year":"2018","journal-title":"Nat Rev Neurol"},{"key":"10.1016\/j.clinph.2021.09.022_b0110","series-title":"Pattern Recognition and Computer Vision","first-page":"157","article-title":"Predicting epileptic seizures from intracranial eeg using lstm-based multi-task learning","author":"Ma","year":"2018"},{"issue":"47","key":"10.1016\/j.clinph.2021.09.022_b0115","doi-asserted-by":"crossref","first-page":"14694","DOI":"10.1073\/pnas.1513716112","article-title":"Intrinsic excitability measures track antiepileptic drug action and uncover increasing\/decreasing excitability over the wake\/sleep cycle","volume":"112","author":"Meisel","year":"2015","journal-title":"Proc Natl Acad Sci USA"},{"issue":"6","key":"10.1016\/j.clinph.2021.09.022_b0120","doi-asserted-by":"crossref","first-page":"1625","DOI":"10.1093\/brain\/aww091","article-title":"Seizure prediction: making mileage on the long and winding road","volume":"139","author":"Mormann","year":"2016","journal-title":"Brain"},{"issue":"2","key":"10.1016\/j.clinph.2021.09.022_b0125","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1093\/brain\/awl241","article-title":"Seizure prediction: the long and winding road","volume":"130","author":"Mormann","year":"2007","journal-title":"Brain"},{"issue":"2","key":"10.1016\/j.clinph.2021.09.022_b0130","first-page":"10","article-title":"Automated detection of a preseizure state based on a decrease in synchronization in intracranial electroencephalogram recordings from epilepsy patients","volume":"67","author":"Mormann","year":"2003","journal-title":"Phys Rev E - Stat Phys, Plasmas, Fluids, Related Interdiscip Top"},{"issue":"3","key":"10.1016\/j.clinph.2021.09.022_b0135","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1016\/j.clinph.2004.08.025","article-title":"On the predictability of epileptic seizures","volume":"116","author":"Mormann","year":"2005","journal-title":"Clin Neurophysiol"},{"issue":"3","key":"10.1016\/j.clinph.2021.09.022_b0140","doi-asserted-by":"crossref","first-page":"036031","DOI":"10.1088\/1741-2552\/ab172d","article-title":"Deep-learning for seizure forecasting in canines with epilepsy","volume":"16","author":"Nejedly","year":"2019","journal-title":"J Neural Eng"},{"key":"10.1016\/j.clinph.2021.09.022_b0145","article-title":"Forecasting Seizure Risk over Days","author":"Proix","year":"2019","journal-title":"MedRxiv preprint"},{"key":"10.1016\/j.clinph.2021.09.022_b0150","doi-asserted-by":"crossref","unstructured":"Reuben, C., Karoly, P., Freestone, D.R., Temko, A., Barachant, A., Li, F., Titericz, G., Lang, B.W., Lavery, D., Roman, K., Broadhead, D., Jones, G., Tang, Q., Ivanenko, I., Panichev, O., Proix, T., N\u00e1hl\u00edk, M., Grunberg, D.B., Grayden, D.B., Cook, M.J., Kuhlmann, L., dec 2019. Ensembling crowdsourced seizure prediction algorithms using long-term human intracranial EEG. Epilepsia, epi.16418. URL: https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1111\/epi.16418","DOI":"10.1111\/epi.16418"},{"issue":"5","key":"10.1016\/j.clinph.2021.09.022_b0155","first-page":"609","article-title":"New Signal Processing Methods for the Development of Seizure Warning Devices in Epilepsy","volume":"63","author":"Senger","year":"2016","journal-title":"IEEE Trans Circ Syst I"},{"issue":"4","key":"10.1016\/j.clinph.2021.09.022_b0160","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1088\/1741-2560\/5\/4\/004","article-title":"The statistics of a practical seizure warning system","volume":"5","author":"Snyder","year":"2008","journal-title":"J Neural Eng"},{"key":"10.1016\/j.clinph.2021.09.022_b0165","doi-asserted-by":"crossref","unstructured":"Stirling, R.E., Cook, M.J., Grayden, D.B., Karoly, P.J., jul 2020. Seizure forecasting and cyclic control of seizures. Epilepsia, epi.16541. URL: https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1111\/epi.16541","DOI":"10.1111\/epi.16541"},{"issue":"4","key":"10.1016\/j.clinph.2021.09.022_b0170","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/MCAS.2012.2221519","article-title":"The seizure prediction problem in epilepsy: Cellular nonlinear networks","volume":"12","author":"Tetzlaff","year":"2012","journal-title":"Circ Syst Magaz, IEEE"},{"key":"10.1016\/j.clinph.2021.09.022_b0175","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.compbiomed.2018.05.019","article-title":"A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals","volume":"99","author":"Tsiouris","year":"2018","journal-title":"Comput Biol Med"},{"issue":"12","key":"10.1016\/j.clinph.2021.09.022_b0180","doi-asserted-by":"crossref","first-page":"1949","DOI":"10.1111\/epi.13591","article-title":"Temporal behavior of seizures and interictal bursts in prolonged intracranial recordings from epileptic canines","volume":"57","author":"Ung","year":"2016","journal-title":"Epilepsia"},{"issue":"3","key":"10.1016\/j.clinph.2021.09.022_b0185","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1097\/WNP.0000000000000159","article-title":"Collaborating and sharing data in epilepsy research","volume":"32","author":"Wagenaar","year":"2015","journal-title":"J Clin Neurophysiol"},{"issue":"6","key":"10.1016\/j.clinph.2021.09.022_b0190","doi-asserted-by":"crossref","first-page":"1104","DOI":"10.1016\/j.clinph.2013.09.047","article-title":"Epileptic seizure prediction using phase synchronization based on bivariate empirical mode decomposition","volume":"125","author":"Zheng","year":"2014","journal-title":"Clin Neurophysiol"}],"container-title":["Clinical Neurophysiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1388245721007689?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1388245721007689?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T12:07:48Z","timestamp":1761394068000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1388245721007689"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1]]},"references-count":38,"alternative-id":["S1388245721007689"],"URL":"https:\/\/doi.org\/10.1016\/j.clinph.2021.09.022","relation":{},"ISSN":["1388-2457"],"issn-type":[{"value":"1388-2457","type":"print"}],"subject":[],"published":{"date-parts":[[2022,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Coherent false seizure prediction in epilepsy, coincidence or providence?","name":"articletitle","label":"Article Title"},{"value":"Clinical Neurophysiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.clinph.2021.09.022","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}