Emerging personalized virtual brain models: next-generation resection neurosurgery for drug-resistant epilepsy?
Abstract Recently, a novel workflow known as the virtual epileptic patient (VEP) has been proposed by a research team from Aix Marseille Université in their papers published in Lancet Neurology, Science Translational Medicine and Epilepsia. This method involves creating an individualized virtual bra...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-07-01
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| Series: | Acta Epileptologica |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42494-023-00128-1 |
| _version_ | 1797376722887245824 |
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| author | Qiao Wang Guangyuan Jin Tao Yu Fabrice Bartolomei Liankun Ren |
| author_facet | Qiao Wang Guangyuan Jin Tao Yu Fabrice Bartolomei Liankun Ren |
| author_sort | Qiao Wang |
| collection | DOAJ |
| description | Abstract Recently, a novel workflow known as the virtual epileptic patient (VEP) has been proposed by a research team from Aix Marseille Université in their papers published in Lancet Neurology, Science Translational Medicine and Epilepsia. This method involves creating an individualized virtual brain model based on computational modelling, which can facilitate clinical decision-making by estimating the epileptogenic zone and performing the virtual surgery. Here, we summarize brief workflow, strengths, and limitations of VEP, as well as its performance in a retrospective study of 53 patients with drug-resistant focal epilepsy who underwent stereoelectroencephalography. A large-scale clinical trial (NCT03643016) is underway to further assess VEP, which is expected to enroll 356 patients prospectively. As supporting evidence accumulates, the clinical application of VEP has the potential to improve clinical practice, leading to better outcomes and qualities of life of patients. |
| first_indexed | 2024-03-08T19:43:45Z |
| format | Article |
| id | doaj.art-b56e999635e64387ad09b87d296c56f1 |
| institution | Directory Open Access Journal |
| issn | 2524-4434 |
| language | English |
| last_indexed | 2024-03-08T19:43:45Z |
| publishDate | 2023-07-01 |
| publisher | BMC |
| record_format | Article |
| series | Acta Epileptologica |
| spelling | doaj.art-b56e999635e64387ad09b87d296c56f12023-12-24T12:32:03ZengBMCActa Epileptologica2524-44342023-07-01511310.1186/s42494-023-00128-1Emerging personalized virtual brain models: next-generation resection neurosurgery for drug-resistant epilepsy?Qiao Wang0Guangyuan Jin1Tao Yu2Fabrice Bartolomei3Liankun Ren4Department of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical UniversityDepartment of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical UniversityNational Center for Neurological DisordersAPHM, Epileptology and Clinical Neurophysiology Department, Timone HospitalDepartment of Neurology, Xuanwu Hospital, Clinical Center for Epilepsy, Capital Medical UniversityAbstract Recently, a novel workflow known as the virtual epileptic patient (VEP) has been proposed by a research team from Aix Marseille Université in their papers published in Lancet Neurology, Science Translational Medicine and Epilepsia. This method involves creating an individualized virtual brain model based on computational modelling, which can facilitate clinical decision-making by estimating the epileptogenic zone and performing the virtual surgery. Here, we summarize brief workflow, strengths, and limitations of VEP, as well as its performance in a retrospective study of 53 patients with drug-resistant focal epilepsy who underwent stereoelectroencephalography. A large-scale clinical trial (NCT03643016) is underway to further assess VEP, which is expected to enroll 356 patients prospectively. As supporting evidence accumulates, the clinical application of VEP has the potential to improve clinical practice, leading to better outcomes and qualities of life of patients.https://doi.org/10.1186/s42494-023-00128-1Drug-resistant focal epilepsyPersonalized virtual brain modelsMachine learningEpileptogenic zone networksStereoelectroencephalographyVirtual surgery |
| spellingShingle | Qiao Wang Guangyuan Jin Tao Yu Fabrice Bartolomei Liankun Ren Emerging personalized virtual brain models: next-generation resection neurosurgery for drug-resistant epilepsy? Acta Epileptologica Drug-resistant focal epilepsy Personalized virtual brain models Machine learning Epileptogenic zone networks Stereoelectroencephalography Virtual surgery |
| title | Emerging personalized virtual brain models: next-generation resection neurosurgery for drug-resistant epilepsy? |
| title_full | Emerging personalized virtual brain models: next-generation resection neurosurgery for drug-resistant epilepsy? |
| title_fullStr | Emerging personalized virtual brain models: next-generation resection neurosurgery for drug-resistant epilepsy? |
| title_full_unstemmed | Emerging personalized virtual brain models: next-generation resection neurosurgery for drug-resistant epilepsy? |
| title_short | Emerging personalized virtual brain models: next-generation resection neurosurgery for drug-resistant epilepsy? |
| title_sort | emerging personalized virtual brain models next generation resection neurosurgery for drug resistant epilepsy |
| topic | Drug-resistant focal epilepsy Personalized virtual brain models Machine learning Epileptogenic zone networks Stereoelectroencephalography Virtual surgery |
| url | https://doi.org/10.1186/s42494-023-00128-1 |
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