{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T18:54:33Z","timestamp":1790794473155,"version":"4.1.0"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1013975","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T00:00:00Z","timestamp":1790726400000}}],"reference-count":49,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T00:00:00Z","timestamp":1789948800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"SOAR Program, University of Michigan","id":[{"id":"https:\/\/ror.org\/00jmfr291","id-type":"ROR","asserted-by":"crossref"}]},{"DOI":"10.13039\/100020343","name":"Biointerfaces Institute, University of Michigan","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100020343","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Robbins Family Research Fund, Michigan Medicine","id":[{"id":"https:\/\/ror.org\/01zcpa714","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Lucas Family Research Fund, Michigan Medicine","id":[{"id":"https:\/\/ror.org\/01zcpa714","id-type":"ROR","asserted-by":"crossref"}]},{"DOI":"10.13039\/100018695","name":"HORIZON EUROPE Research Infrastructures","doi-asserted-by":"publisher","award":["101147319"],"award-info":[{"award-number":["101147319"]}],"id":[{"id":"10.13039\/100018695","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01-NS094399"],"award-info":[{"award-number":["R01-NS094399"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>Seizure propagation \u2013 how epileptogenic brain tissue recruits less excitable tissue \u2013 is poorly understood. Previous studies have used dynamical modeling to study seizure propagation and to create patient-specific whole-brain models of seizure spread. However, these studies focused on seizures of a single dynamotype (onset and offset bifurcation pair). Here, we implement a novel coupling method to investigate seizure propagation in a diverse array of dynamotypes. We utilize the Multiclass Epileptor, a recently proposed model that captures a wide range of seizure dynamotypes in a cortical mass (\u201cnode\u201d). We consider two nodes: the seizure onset zone (node 1), which bursts autonomously, and the potential propagation zone (node 2), which is not independently epileptogenic but can be recruited by node 1. We examine the impact of intrinsic and coupling factors on the likelihood and speed of recruitment, with particular attention to the onset bifurcation of node 1. We also measure the range of onset behaviors observed in node 2 with respect to the onset behavior of node 1. The model predicted that seizures that display baseline shifts at onset are less likely to spread, and spread more slowly, compared to seizures that do not exhibit baseline shifts at onset. Seizures that present with amplitude scaling at onset were unlikely to propagate. Further, the model predicted the potential for unusual combinations of onset dynamics, such as a baseline shift in node 2 but not node 1. We confirmed the possibility for several of these unusual recruitment behaviors in humans using intracranial electroencephalography data. The results of the study provide a theoretical framework for seizure propagation, establishing a basis for innovations in characterization of patients\u2019 seizure networks and identification of the seizure onset zone.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1013975","type":"journal-article","created":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T17:51:49Z","timestamp":1790013109000},"page":"e1013975","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Seizure recruitment properties are dependent upon dynamotype: A modeling study"],"prefix":"10.1371","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-5724-3853","authenticated-orcid":true,"given":"Diana M.","family":"Karosas","sequence":"first","affiliation":[{"name":"BioInterfaces Institute, University of Michigan","place":["Ann Arbor, Michigan, United States of America"],"department":["Department of Biomedical 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