{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T11:47:27Z","timestamp":1753876047206,"version":"3.41.2"},"reference-count":65,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T00:00:00Z","timestamp":1684972800000},"content-version":"vor","delay-in-days":144,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Distinguished Chair"},{"name":"West Syndrome Research"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Epilepsy surgery continues to be a recommended treatment for intractable (medication-resistant) epilepsy; however, 30\u201370% of epilepsy surgery patients can continue to have seizures. Surgical failures are often associated with incomplete resection or inaccurate localization of the epileptogenic zone. This retrospective study aims to improve surgical outcome through in silico testing of surgical hypotheses through a personalized computational neurosurgery model created from individualized patient\u2019s magnetoencephalography recording and MRI. The framework assesses the extent of the epileptic network and evaluates underlying spike dynamics, resulting in identification of one single brain volume as a candidate for resection. Dynamic-locked networks were utilized for virtual cortical resection. This in silico protocol was tested in a cohort of 24 paediatric patients with focal drug-resistant epilepsy who underwent epilepsy surgery. Of 24 patients who were included in the analysis, 79% (19 of 24) of the models agreed with the patient's clinical surgery outcome and 21% (5 of 24) were considered as model failures (accuracy 0.79, sensitivity 0.77, specificity 0.82). Patients with unsuccessful surgery outcome typically showed a model cluster outside of the resected cavity, while those with successful surgery showed the cluster model within the cavity. Two of the model failures showed the cluster in the vicinity of the resected tissue and either a functional disconnection or lack of precision of the magnetoencephalography\u2013MRI overlapping could explain the results. Two other cases were seizure free for 1 year but developed late recurrence. This is the first study that provides in silico personalized protocol for epilepsy surgery planning using magnetoencephalography spike network analysis. This model could provide complementary information to the traditional pre-surgical assessment methods and increase the proportion of patients achieving seizure-free outcome from surgery.<\/jats:p>","DOI":"10.1093\/braincomms\/fcad168","type":"journal-article","created":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T07:24:01Z","timestamp":1684999441000},"source":"Crossref","is-referenced-by-count":1,"title":["An individual data-driven virtual resection model based on epileptic network dynamics in children with intractable epilepsy: a magnetoencephalography interictal activity application"],"prefix":"10.1093","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8459-3354","authenticated-orcid":false,"given":"Pablo","family":"Cuesta","sequence":"first","affiliation":[{"name":"Department of Radiology, Rehabilitation and Physiotherapy, Universidad Complutense de Madrid , Madrid, 28040 , Spain"},{"name":"Center for Cognitive and Computational Neuroscience, Complutense University of Madrid , Madrid, 28040 , Spain"},{"name":"Instituto de Investigaci\u00f3n Sanitaria San Carlos (IdISSC) , Madrid, 28040 , Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ricardo","family":"Bru\u00f1a","sequence":"additional","affiliation":[{"name":"Department of Radiology, Rehabilitation and Physiotherapy, Universidad Complutense de Madrid , Madrid, 28040 , Spain"},{"name":"Instituto de Investigaci\u00f3n Sanitaria San Carlos (IdISSC) , Madrid, 28040 , Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ekta","family":"Shah","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston , Houston, TX 77030 , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"Laohathai","sequence":"additional","affiliation":[{"name":"Department of Neurology, Saint Louis University , Saint Louis, MO 63110 , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephanie","family":"Garcia-Tarodo","sequence":"additional","affiliation":[{"name":"D\u00e9partement de la femme, de l'enfant et de l'adolescent, H\u00f4pital des Enfants - H\u00f4pitaux Universitaires de Gen\u00e8ve , Geneva, 1211 Gen\u00e8ve 14 , Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Funke","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston , Houston, TX 77030 , USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gretchen","family":"Von Allmen","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, McGovern Medical School, The University of Texas Health Science Center at Houston , Houston, TX 77030 , 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