{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T08:14:06Z","timestamp":1792224846388,"version":"4.4.0"},"reference-count":30,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T00:00:00Z","timestamp":1744243200000},"content-version":"vor","delay-in-days":9,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Euro J of Neurology"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Poststroke epilepsy (PSE) is an important long\u2010term complication after stroke. Data regarding predictors of PSE in patients with large\u2010vessel occlusion stroke receiving mechanical thrombectomy (MT) are scarce. Voxel\u2010based lesion symptom mapping on brain MRI might be a valuable tool in the risk prediction of PSE. This study aims to assess PSE risk after acute stroke treated with MT via voxel\u2010 and volumetric\u2010based analyses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this bi\u2010center study from two tertiary\u2010care stroke centers, we included consecutive acute ischemic stroke patients who had received MT between 2011 and 2017, and had postinterventional brain MRI as well as long\u2010term follow\u2010up data available. Infarct volume and location were assessed on MRI. Following semiautomated lesion outlining and generation of binarized lesion masks, lesion symptom mapping was applied to identify relevant topographical lesion patterns in PSE.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of 348 analyzed patients, 97 cases had to be excluded due to insufficient image quality and inaccurate registration results. Finally, lesion maps from 251 patients (median age: 66, 45.4% women) were considered for lesion symptom mapping, including maps from 26 patients with PSE (10.4%). Mean infarct volume was higher in PSE patients (119.2\u2009cm\n                      <jats:sup>3<\/jats:sup>\n                      vs. 43.9\u2009cm\n                      <jats:sup>3<\/jats:sup>\n                      ,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.0001). Lesion symptom mapping identified the orbitofrontal region, the operculum, and the temporal pole as brain regions associated with PSE.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Apart from infarct volume, lesion symptom mapping on postinterventional brain MRI identified specific brain regions associated with PSE after large vessel occlusion stroke. This information might be helpful for PSE risk stratification and follow\u2010up care in this specific population.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ene.70154","type":"journal-article","created":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T06:46:50Z","timestamp":1744267610000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Voxel\u2010Based Lesion Symptom Mapping to Predict Poststroke Epilepsy After Mechanical Thrombectomy"],"prefix":"10.1111","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-8022-1454","authenticated-orcid":false,"given":"Joachim","family":"Gruber","sequence":"first","affiliation":[{"name":"Department of Neurology, Kepler University Hospital Johannes Kepler University Linz  Linz Austria"},{"name":"Clinical Research Institute for Neurosciences Johannes Kepler University Linz and Kepler University Hospital  Linz 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Kepler University Hospital Johannes Kepler University Linz  Linz Austria"},{"name":"Clinical Research Institute for Neurosciences Johannes Kepler University Linz and Kepler University Hospital  Linz Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hannes","family":"Deutschmann","sequence":"additional","affiliation":[{"name":"Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology Medical University of Graz  Graz Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Sonnberger","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, Neuromed Campus Kepler University Hospital  Linz Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6334-9432","authenticated-orcid":false,"given":"Markus","family":"Kneihsl","sequence":"additional","affiliation":[{"name":"Department of Neurology Medical University of Graz  Graz 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