Interictal SEEG Resting‐State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure Outcome
Abstract Localization of epileptogenic zone currently requires prolonged intracranial recordings to capture seizure, which may take days to weeks. The authors developed a novel method to identify the seizure onset zone (SOZ) and predict seizure outcome using short‐time resting‐state stereotacticelec...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-06-01
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| Series: | Advanced Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/advs.202200887 |
| _version_ | 1811241803955830784 |
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| author | Haiteng Jiang Vasileios Kokkinos Shuai Ye Alexandra Urban Anto Bagić Mark Richardson Bin He |
| author_facet | Haiteng Jiang Vasileios Kokkinos Shuai Ye Alexandra Urban Anto Bagić Mark Richardson Bin He |
| author_sort | Haiteng Jiang |
| collection | DOAJ |
| description | Abstract Localization of epileptogenic zone currently requires prolonged intracranial recordings to capture seizure, which may take days to weeks. The authors developed a novel method to identify the seizure onset zone (SOZ) and predict seizure outcome using short‐time resting‐state stereotacticelectroencephalography (SEEG) data. In a cohort of 27 drug‐resistant epilepsy patients, the authors estimated the information flow via directional connectivity and inferred the excitation‐inhibition ratio from the 1/f power slope. They hypothesized that the antagonism of information flow at multiple frequencies between SOZ and non‐SOZ underlying the relatively stable epilepsy resting state could be related to the disrupted excitation‐inhibition balance. They found flatter 1/f power slope in non‐SOZ regions compared to the SOZ, with dominant information flow from non‐SOZ to SOZ regions. Greater differences in resting‐state information flow between SOZ and non‐SOZ regions are associated with favorable seizure outcome. By integrating a balanced random forest model with resting‐state connectivity, their method localized the SOZ with an accuracy of 88% and predicted the seizure outcome with an accuracy of 92% using clinically determined SOZ. Overall, this study suggests that brief resting‐state SEEG data can significantly facilitate the identification of SOZ and may eventually predict seizure outcomes without requiring long‐term ictal recordings. |
| first_indexed | 2024-04-12T13:42:35Z |
| format | Article |
| id | doaj.art-fbf9dbfb3f2442e680a732850396d2d0 |
| institution | Directory Open Access Journal |
| issn | 2198-3844 |
| language | English |
| last_indexed | 2024-04-12T13:42:35Z |
| publishDate | 2022-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Science |
| spelling | doaj.art-fbf9dbfb3f2442e680a732850396d2d02022-12-22T03:30:49ZengWileyAdvanced Science2198-38442022-06-01918n/an/a10.1002/advs.202200887Interictal SEEG Resting‐State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure OutcomeHaiteng Jiang0Vasileios Kokkinos1Shuai Ye2Alexandra Urban3Anto Bagić4Mark Richardson5Bin He6Department of Biomedical Engineering Carnegie Mellon University Pittsburgh PA 15213 USAUniversity of Pittsburgh Comprehensive Epilepsy Center Department of Neurology University of Pittsburgh School of Medicine Pittsburgh PA 15232 USADepartment of Biomedical Engineering Carnegie Mellon University Pittsburgh PA 15213 USAUniversity of Pittsburgh Comprehensive Epilepsy Center Department of Neurology University of Pittsburgh School of Medicine Pittsburgh PA 15232 USAUniversity of Pittsburgh Comprehensive Epilepsy Center Department of Neurology University of Pittsburgh School of Medicine Pittsburgh PA 15232 USAUniversity of Pittsburgh Comprehensive Epilepsy Center Department of Neurology University of Pittsburgh School of Medicine Pittsburgh PA 15232 USADepartment of Biomedical Engineering Carnegie Mellon University Pittsburgh PA 15213 USAAbstract Localization of epileptogenic zone currently requires prolonged intracranial recordings to capture seizure, which may take days to weeks. The authors developed a novel method to identify the seizure onset zone (SOZ) and predict seizure outcome using short‐time resting‐state stereotacticelectroencephalography (SEEG) data. In a cohort of 27 drug‐resistant epilepsy patients, the authors estimated the information flow via directional connectivity and inferred the excitation‐inhibition ratio from the 1/f power slope. They hypothesized that the antagonism of information flow at multiple frequencies between SOZ and non‐SOZ underlying the relatively stable epilepsy resting state could be related to the disrupted excitation‐inhibition balance. They found flatter 1/f power slope in non‐SOZ regions compared to the SOZ, with dominant information flow from non‐SOZ to SOZ regions. Greater differences in resting‐state information flow between SOZ and non‐SOZ regions are associated with favorable seizure outcome. By integrating a balanced random forest model with resting‐state connectivity, their method localized the SOZ with an accuracy of 88% and predicted the seizure outcome with an accuracy of 92% using clinically determined SOZ. Overall, this study suggests that brief resting‐state SEEG data can significantly facilitate the identification of SOZ and may eventually predict seizure outcomes without requiring long‐term ictal recordings.https://doi.org/10.1002/advs.202200887connectivityresting statestereotactic‐electroencephalography (SEEG)seizure localizationseizure outcomeseizure‐onset zone |
| spellingShingle | Haiteng Jiang Vasileios Kokkinos Shuai Ye Alexandra Urban Anto Bagić Mark Richardson Bin He Interictal SEEG Resting‐State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure Outcome Advanced Science connectivity resting state stereotactic‐electroencephalography (SEEG) seizure localization seizure outcome seizure‐onset zone |
| title | Interictal SEEG Resting‐State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure Outcome |
| title_full | Interictal SEEG Resting‐State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure Outcome |
| title_fullStr | Interictal SEEG Resting‐State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure Outcome |
| title_full_unstemmed | Interictal SEEG Resting‐State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure Outcome |
| title_short | Interictal SEEG Resting‐State Connectivity Localizes the Seizure Onset Zone and Predicts Seizure Outcome |
| title_sort | interictal seeg resting state connectivity localizes the seizure onset zone and predicts seizure outcome |
| topic | connectivity resting state stereotactic‐electroencephalography (SEEG) seizure localization seizure outcome seizure‐onset zone |
| url | https://doi.org/10.1002/advs.202200887 |
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