Intracranial Disease-Region Composite-Interpretation Technology for Enhanced Source Localization in Pediatric Epilepsy Surgery
Electroencephalography (EEG) based source localization (ESL) is a useful method to localize the epileptogenic zone in epilepsy surgery. However, previous techniques only perform 3-dimensional (3D) reconstruction, and do not conduct delineation on the cortex surface as a resection guidance, and there...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10791311/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850101439665274880 |
|---|---|
| author | Jeongyoon Shin Wonsik Yang Jungmin Seo Won Seok Chang Heung Dong Kim Se Hee Kim Jong-Moon Chung |
| author_facet | Jeongyoon Shin Wonsik Yang Jungmin Seo Won Seok Chang Heung Dong Kim Se Hee Kim Jong-Moon Chung |
| author_sort | Jeongyoon Shin |
| collection | DOAJ |
| description | Electroencephalography (EEG) based source localization (ESL) is a useful method to localize the epileptogenic zone in epilepsy surgery. However, previous techniques only perform 3-dimensional (3D) reconstruction, and do not conduct delineation on the cortex surface as a resection guidance, and there is very little data on intracranial EEG and pediatric cases. This study proposes an Intracranial Disease-region Composite-interpretation (IDC) EEG-based source localization (ESL) scheme that uses 3D extended reality (XR) edge computing to enhance visualization and comprehensive interpretation of intracranial EEG-based source localization (iESL) for patients with pediatric epilepsy. The proposed IDC-ESL method was effective in predicting the surgical outcome in patients with focal epilepsy, which can be effectively used for epilepsy surgery. Seizure freedom was clearly associated with complete resection of combined EEG features of interictal spike, high-frequency oscillation (HFO), and seizure onset zone (SOZ), and it had the highest significance in localizing the epileptogenic zone. However, for patients with Lennox-Gastaut syndrome (LGS), IDC-ESL was not performed effectively because of a deeply seated lesion and multifocal abnormalities. It could only roughly estimate the affected area, mainly because of insular involvement. Cautious interpretation based on intraoperative electrocorticography (ECoG) is required for accurate insular resection, particularly for LGS cases. |
| format | Article |
| id | doaj-art-7f0ed7bbcea9460c8e0f4d443fd5cca8 |
| institution | DOAJ |
| issn | 1534-4320 1558-0210 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj-art-7f0ed7bbcea9460c8e0f4d443fd5cca82025-08-20T02:40:02ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1534-43201558-02102025-01-0133344510.1109/TNSRE.2024.351494010791311Intracranial Disease-Region Composite-Interpretation Technology for Enhanced Source Localization in Pediatric Epilepsy SurgeryJeongyoon Shin0https://orcid.org/0000-0002-6302-3483Wonsik Yang1https://orcid.org/0000-0001-8338-2865Jungmin Seo2Won Seok Chang3https://orcid.org/0000-0003-3145-4016Heung Dong Kim4Se Hee Kim5https://orcid.org/0000-0001-7773-1942Jong-Moon Chung6https://orcid.org/0000-0002-1652-6635Yonsei Biomedical Research Institute, College of Medicine, Yonsei University, Seodaemun-gu, Seoul, Republic of KoreaSchool of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, Republic of KoreaSchool of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, Republic of KoreaDepartment of Neurosurgery, Brain Research Institute, College of Medicine, Yonsei University, Seodaemun-gu, Seoul, Republic of KoreaDepartment of Pediatrics, Kangbuk Samsung Hospital, Sungkyunkwan University, Jongno-gu, Seoul, Republic of KoreaDepartment of Pediatrics, College of Medicine, Severance Children’s Hospital, Epilepsy Research Institute, Division of Pediatric Neurology, Yonsei University, Seodaemun-gu, Seoul, Republic of KoreaDepartment of Emergency Medicine, College of Medicine, School of Electrical and Electronic Engineering, College of Engineering, and, Yonsei University, Seodaemun-gu, Seoul, Republic of KoreaElectroencephalography (EEG) based source localization (ESL) is a useful method to localize the epileptogenic zone in epilepsy surgery. However, previous techniques only perform 3-dimensional (3D) reconstruction, and do not conduct delineation on the cortex surface as a resection guidance, and there is very little data on intracranial EEG and pediatric cases. This study proposes an Intracranial Disease-region Composite-interpretation (IDC) EEG-based source localization (ESL) scheme that uses 3D extended reality (XR) edge computing to enhance visualization and comprehensive interpretation of intracranial EEG-based source localization (iESL) for patients with pediatric epilepsy. The proposed IDC-ESL method was effective in predicting the surgical outcome in patients with focal epilepsy, which can be effectively used for epilepsy surgery. Seizure freedom was clearly associated with complete resection of combined EEG features of interictal spike, high-frequency oscillation (HFO), and seizure onset zone (SOZ), and it had the highest significance in localizing the epileptogenic zone. However, for patients with Lennox-Gastaut syndrome (LGS), IDC-ESL was not performed effectively because of a deeply seated lesion and multifocal abnormalities. It could only roughly estimate the affected area, mainly because of insular involvement. Cautious interpretation based on intraoperative electrocorticography (ECoG) is required for accurate insular resection, particularly for LGS cases.https://ieeexplore.ieee.org/document/10791311/Electrical source imagingfocal epilepsyhigh frequency oscillationintracranial electroencephalography-based source localizationXRedge computing |
| spellingShingle | Jeongyoon Shin Wonsik Yang Jungmin Seo Won Seok Chang Heung Dong Kim Se Hee Kim Jong-Moon Chung Intracranial Disease-Region Composite-Interpretation Technology for Enhanced Source Localization in Pediatric Epilepsy Surgery IEEE Transactions on Neural Systems and Rehabilitation Engineering Electrical source imaging focal epilepsy high frequency oscillation intracranial electroencephalography-based source localization XR edge computing |
| title | Intracranial Disease-Region Composite-Interpretation Technology for Enhanced Source Localization in Pediatric Epilepsy Surgery |
| title_full | Intracranial Disease-Region Composite-Interpretation Technology for Enhanced Source Localization in Pediatric Epilepsy Surgery |
| title_fullStr | Intracranial Disease-Region Composite-Interpretation Technology for Enhanced Source Localization in Pediatric Epilepsy Surgery |
| title_full_unstemmed | Intracranial Disease-Region Composite-Interpretation Technology for Enhanced Source Localization in Pediatric Epilepsy Surgery |
| title_short | Intracranial Disease-Region Composite-Interpretation Technology for Enhanced Source Localization in Pediatric Epilepsy Surgery |
| title_sort | intracranial disease region composite interpretation technology for enhanced source localization in pediatric epilepsy surgery |
| topic | Electrical source imaging focal epilepsy high frequency oscillation intracranial electroencephalography-based source localization XR edge computing |
| url | https://ieeexplore.ieee.org/document/10791311/ |
| work_keys_str_mv | AT jeongyoonshin intracranialdiseaseregioncompositeinterpretationtechnologyforenhancedsourcelocalizationinpediatricepilepsysurgery AT wonsikyang intracranialdiseaseregioncompositeinterpretationtechnologyforenhancedsourcelocalizationinpediatricepilepsysurgery AT jungminseo intracranialdiseaseregioncompositeinterpretationtechnologyforenhancedsourcelocalizationinpediatricepilepsysurgery AT wonseokchang intracranialdiseaseregioncompositeinterpretationtechnologyforenhancedsourcelocalizationinpediatricepilepsysurgery AT heungdongkim intracranialdiseaseregioncompositeinterpretationtechnologyforenhancedsourcelocalizationinpediatricepilepsysurgery AT seheekim intracranialdiseaseregioncompositeinterpretationtechnologyforenhancedsourcelocalizationinpediatricepilepsysurgery AT jongmoonchung intracranialdiseaseregioncompositeinterpretationtechnologyforenhancedsourcelocalizationinpediatricepilepsysurgery |