Voxel-Based Lesion Symptom Mapping to Predict Poststroke Epilepsy After Mechanical Thrombectomy.
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| Title: | Voxel-Based Lesion Symptom Mapping to Predict Poststroke Epilepsy After Mechanical Thrombectomy. |
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| Authors: | Gruber J; Department of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.; Clinical Research Institute for Neurosciences, Johannes Kepler University Linz and Kepler University Hospital, Linz, Austria., Ropele S; Department of Neurology, Medical University of Graz, Graz, Austria., Pinter D; Department of Neurology, Medical University of Graz, Graz, Austria.; Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Graz, Austria., Enzinger C; Department of Neurology, Medical University of Graz, Graz, Austria., Helbok R; Department of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.; Clinical Research Institute for Neurosciences, Johannes Kepler University Linz and Kepler University Hospital, Linz, Austria., Deutschmann H; Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria., Sonnberger M; Department of Neuroradiology, Neuromed Campus, Kepler University Hospital, Linz, Austria., Kneihsl M; Department of Neurology, Medical University of Graz, Graz, Austria.; Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria., von Oertzen TJ; Department of Neurology, Kepler University Hospital, Johannes Kepler University Linz, Linz, Austria.; Medical Directorate, University Hospital Wuerzburg, Wuerzburg, Germany., Gattringer T; Department of Neurology, Medical University of Graz, Graz, Austria. |
| Source: | European journal of neurology [Eur J Neurol] 2025 Apr; Vol. 32 (4), pp. e70154. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Wiley Country of Publication: England NLM ID: 9506311 Publication Model: Print Cited Medium: Internet ISSN: 1468-1331 (Electronic) Linking ISSN: 13515101 NLM ISO Abbreviation: Eur J Neurol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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