Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies
Around one third of epilepsies are drug-resistant. For these patients, seizures may be reduced or cured by surgically removing the epileptogenic zone (EZ), which is the portion of the brain giving rise to seizures. If noninvasive data are not sufficiently lateralizing or localizing, the EZ may need...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Neuroinformatics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fninf.2022.990859/full |
| _version_ | 1811240809156050944 |
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| author | Fernando Pérez-García Fernando Pérez-García Fernando Pérez-García Ali Alim-Marvasti Ali Alim-Marvasti Ali Alim-Marvasti Gloria Romagnoli Gloria Romagnoli Matthew J. Clarkson Matthew J. Clarkson Rachel Sparks John S. Duncan John S. Duncan John S. Duncan Sébastien Ourselin |
| author_facet | Fernando Pérez-García Fernando Pérez-García Fernando Pérez-García Ali Alim-Marvasti Ali Alim-Marvasti Ali Alim-Marvasti Gloria Romagnoli Gloria Romagnoli Matthew J. Clarkson Matthew J. Clarkson Rachel Sparks John S. Duncan John S. Duncan John S. Duncan Sébastien Ourselin |
| author_sort | Fernando Pérez-García |
| collection | DOAJ |
| description | Around one third of epilepsies are drug-resistant. For these patients, seizures may be reduced or cured by surgically removing the epileptogenic zone (EZ), which is the portion of the brain giving rise to seizures. If noninvasive data are not sufficiently lateralizing or localizing, the EZ may need to be localized by precise implantation of intracranial electroencephalography (iEEG) electrodes. The choice of iEEG targets is influenced by clinicians' experience and personal knowledge of the literature, which leads to substantial variations in implantation strategies across different epilepsy centers. The clinical diagnostic pathway for surgical planning could be supported and standardized by an objective tool to suggest EZ locations, based on the outcomes of retrospective clinical cases reported in the literature. We present an open-source software tool that presents clinicians with an intuitive and data-driven visualization to infer the location of the symptomatogenic zone, that may overlap with the EZ. The likely EZ is represented as a probabilistic map overlaid on the patient's images, given a list of seizure semiologies observed in that specific patient. We demonstrate a case study on retrospective data from a patient treated in our unit, who underwent resective epilepsy surgery and achieved 1-year seizure freedom after surgery. The resected brain structures identified as EZ location overlapped with the regions highlighted by our tool, demonstrating its potential utility. |
| first_indexed | 2024-04-12T13:26:49Z |
| format | Article |
| id | doaj.art-019045196cc74f7ab2571fd9742d19b3 |
| institution | Directory Open Access Journal |
| issn | 1662-5196 |
| language | English |
| last_indexed | 2024-04-12T13:26:49Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroinformatics |
| spelling | doaj.art-019045196cc74f7ab2571fd9742d19b32022-12-22T03:31:17ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962022-10-011610.3389/fninf.2022.990859990859Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologiesFernando Pérez-García0Fernando Pérez-García1Fernando Pérez-García2Ali Alim-Marvasti3Ali Alim-Marvasti4Ali Alim-Marvasti5Gloria Romagnoli6Gloria Romagnoli7Matthew J. Clarkson8Matthew J. Clarkson9Rachel Sparks10John S. Duncan11John S. Duncan12John S. Duncan13Sébastien Ourselin14Department of Medical Physics and Biomedical Engineering, University College London, London, United KingdomWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United KingdomSchool of Biomedical Engineering & Imaging Sciences (BMEIS), King's College London, London, United KingdomDepartment of Medical Physics and Biomedical Engineering, University College London, London, United KingdomWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United KingdomDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, United KingdomDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, United KingdomNational Hospital for Neurology and Neurosurgery, London, United KingdomDepartment of Medical Physics and Biomedical Engineering, University College London, London, United KingdomWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United KingdomSchool of Biomedical Engineering & Imaging Sciences (BMEIS), King's College London, London, United KingdomWellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United KingdomDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, United KingdomNational Hospital for Neurology and Neurosurgery, London, United KingdomSchool of Biomedical Engineering & Imaging Sciences (BMEIS), King's College London, London, United KingdomAround one third of epilepsies are drug-resistant. For these patients, seizures may be reduced or cured by surgically removing the epileptogenic zone (EZ), which is the portion of the brain giving rise to seizures. If noninvasive data are not sufficiently lateralizing or localizing, the EZ may need to be localized by precise implantation of intracranial electroencephalography (iEEG) electrodes. The choice of iEEG targets is influenced by clinicians' experience and personal knowledge of the literature, which leads to substantial variations in implantation strategies across different epilepsy centers. The clinical diagnostic pathway for surgical planning could be supported and standardized by an objective tool to suggest EZ locations, based on the outcomes of retrospective clinical cases reported in the literature. We present an open-source software tool that presents clinicians with an intuitive and data-driven visualization to infer the location of the symptomatogenic zone, that may overlap with the EZ. The likely EZ is represented as a probabilistic map overlaid on the patient's images, given a list of seizure semiologies observed in that specific patient. We demonstrate a case study on retrospective data from a patient treated in our unit, who underwent resective epilepsy surgery and achieved 1-year seizure freedom after surgery. The resected brain structures identified as EZ location overlapped with the regions highlighted by our tool, demonstrating its potential utility.https://www.frontiersin.org/articles/10.3389/fninf.2022.990859/fullepilepsy surgeryvisualizationsemiologypresurgical evaluationepileptogenic zoneelectroencephalography |
| spellingShingle | Fernando Pérez-García Fernando Pérez-García Fernando Pérez-García Ali Alim-Marvasti Ali Alim-Marvasti Ali Alim-Marvasti Gloria Romagnoli Gloria Romagnoli Matthew J. Clarkson Matthew J. Clarkson Rachel Sparks John S. Duncan John S. Duncan John S. Duncan Sébastien Ourselin Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies Frontiers in Neuroinformatics epilepsy surgery visualization semiology presurgical evaluation epileptogenic zone electroencephalography |
| title | Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies |
| title_full | Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies |
| title_fullStr | Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies |
| title_full_unstemmed | Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies |
| title_short | Software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies |
| title_sort | software tool for visualization of a probabilistic map of the epileptogenic zone from seizure semiologies |
| topic | epilepsy surgery visualization semiology presurgical evaluation epileptogenic zone electroencephalography |
| url | https://www.frontiersin.org/articles/10.3389/fninf.2022.990859/full |
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