{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T00:34:02Z","timestamp":1768264442744,"version":"3.49.0"},"reference-count":30,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2015,7,2]],"date-time":"2015-07-02T00:00:00Z","timestamp":1435795200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Italian Ministry of Health","award":["GR-2011-02351397"],"award-info":[{"award-number":["GR-2011-02351397"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Permutation entropy (PE) has been widely exploited to measure the complexity of the electroencephalogram (EEG), especially when complexity is linked to diagnostic information embedded in the EEG. Recently, the authors proposed a spatial-temporal analysis of the EEG recordings of absence epilepsy patients based on PE. The goal here is to improve the ability of PE in discriminating interictal states from ictal states in absence seizure EEG. For this purpose, a parametrical definition of permutation entropy is introduced here in the field of epileptic EEG analysis: the permutation R\u00e9nyi entropy (PEr). PEr has been extensively tested against PE by tuning the involved parameters (order, delay time and alpha). The achieved results demonstrate that PEr outperforms PE, as there is a statistically-significant, wider gap between the PEr levels during the interictal states and PEr levels observed in the ictal states compared to PE. PEr also outperformed PE as the input to a classifier aimed at discriminating interictal from ictal states.<\/jats:p>","DOI":"10.3390\/e17074627","type":"journal-article","created":{"date-parts":[[2015,7,3]],"date-time":"2015-07-03T12:24:36Z","timestamp":1435926276000},"page":"4627-4643","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["Differentiating Interictal and Ictal States in Childhood Absence Epilepsy through Permutation R\u00e9nyi Entropy"],"prefix":"10.3390","volume":"17","author":[{"given":"Nadia","family":"Mammone","sequence":"first","affiliation":[{"name":"IRCCS Centro Neurolesi Bonino-Pulejo, Via Palermo c\/da Casazza, SS. 113, Messina, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonas","family":"Duun-Henriksen","sequence":"additional","affiliation":[{"name":"HypoSafe A\/S, Diplomvej 381, 2800 Kgs. Lyngby, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Troels","family":"Kjaer","sequence":"additional","affiliation":[{"name":"Neurophysiology Center, Department of Neurology, Roskilde University Hospital, Koegevej 7-13, DK-4000 Roskilde, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Morabito","sequence":"additional","affiliation":[{"name":"DICEAM Department, Mediterranean University of Reggio Calabria, Via Graziella Feo di Vito, 89060 Reggio Calabria, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,7,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.pediatrneurol.2012.02.018","article-title":"Automatic detection of childhood absence epilepsy seizures: Toward a monitoring device","volume":"46","author":"Madsen","year":"2012","journal-title":"Pediatr. 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