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SEEG4D: a tool for 4D visualization of stereoelectroencephalography data.
Evans, James L; Bramlet, Matthew T; Davey, Connor; Bethke, Eliot; Anderson, Aaron T; Huesmann, Graham; Varatharajah, Yogatheesan; Maldonado, Andres; Amos, Jennifer R; Sutton, Bradley P.
Affiliation
  • Evans JL; Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.
  • Bramlet MT; Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
  • Davey C; University of Illinois College of Medicine, Peoria, IL, United States.
  • Bethke E; Jump Trading Simulation and Education Center, Peoria, IL, United States.
  • Anderson AT; Jump Trading Simulation and Education Center, Peoria, IL, United States.
  • Huesmann G; Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, United States.
  • Varatharajah Y; Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
  • Maldonado A; Department of Neurology, Carle Foundation Hospital, Urbana, IL, United States.
  • Amos JR; Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
  • Sutton BP; Department of Neurology, Carle Foundation Hospital, Urbana, IL, United States.
Front Neuroinform ; 18: 1465231, 2024.
Article in En | MEDLINE | ID: mdl-39290351
ABSTRACT
Epilepsy is a prevalent and serious neurological condition which impacts millions of people worldwide. Stereoelectroencephalography (sEEG) is used in cases of drug resistant epilepsy to aid in surgical resection planning due to its high spatial resolution and ability to visualize seizure onset zones. For accurate localization of the seizure focus, sEEG studies combine pre-implantation magnetic resonance imaging, post-implant computed tomography to visualize electrodes, and temporally recorded sEEG electrophysiological data. Many tools exist to assist in merging multimodal spatial information; however, few allow for an integrated spatiotemporal view of the electrical activity. In the current work, we present SEEG4D, an automated tool to merge spatial and temporal data into a complete, four-dimensional virtual reality (VR) object with temporal electrophysiology that enables the simultaneous viewing of anatomy and seizure activity for seizure localization and presurgical planning. We developed an automated, containerized pipeline to segment tissues and electrode contacts. Contacts are aligned with electrical activity and then animated based on relative power. SEEG4D generates models which can be loaded into VR platforms for viewing and planning with the surgical team. Automated contact segmentation locations are within 1 mm of trained raters and models generated show signal propagation along electrodes. Critically, spatial-temporal information communicated through our models in a VR space have potential to enhance sEEG pre-surgical planning.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Neuroinform Year: 2024 Document type: Article Affiliation country: United States Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Neuroinform Year: 2024 Document type: Article Affiliation country: United States Country of publication: Switzerland