Related Experiment Video
Updated: Sep 9, 2025
08:45
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
Published on: October 24, 2012
14.8K
Depth-to-scalp spatiotemporal dynamics for stereo-EEG
Tal Benoliel1,2, Oshrit Arviv1,2, Diya Doufish1,2
1Department of Neurology and Agnes Ginges Center for Human Neurogenetics, Hadassah Medical Organization, Hadassah Ein Kerem, POB12000 Jerusalem, Israel.
Epilepsy & Behavior Reports
|September 2, 2025
Summary
Stereo-electroencephalography (SEEG) electrode placement is critical for epilepsy surgery. This study introduces depth-to-scalp electric source imaging (dsESI) to analyze scalp and intracranial EEG, improving seizure onset zone identification and network understanding.
Area of Science:
- Neuroscience
- Epileptology
- Medical Imaging
Background:
- Stereo-electroencephalography (SEEG) is vital for localizing the epileptogenic zone in focal epilepsy, yet suboptimal electrode placement can compromise results.
- Accurate identification of seizure onset is crucial for successful surgical resection in epilepsy patients.
Purpose of the Study:
- To present a novel depth-to-scalp electric source imaging (dsESI) approach for concurrent scalp and depth EEG analysis.
- To evaluate the utility of dsESI in differentiating seizure onset from propagation and validating SEEG electrode placement.
- To enhance the understanding of epileptic network dynamics by analyzing temporal and spatial spike characteristics.
Main Methods:
- Concurrent analysis of scalp and depth EEG data from epilepsy patients.
- Identification and clustering of intracranial epileptiform discharges.
- Averaging of scalp correlates of intracranial discharges.
- Application of electric source imaging (ESI) to averaged scalp potentials, termed depth-to-scalp ESI (dsESI).
Main Results:
- Temporal differences observed between intracranial and scalp discharge peaks.
- Variations in averaged scalp spike morphology, propagation, amplitude, width, and jitter were identified.
- dsESI successfully differentiated seizure onset from propagation of interictal activity in one case.
- The method showed potential in identifying unsampled seizure onset zones in another case.
Conclusions:
- The novel dsESI analysis highlights the importance of temporal spike dynamics in epileptic networks.
- This approach can validate depth electrode placement and improve the understanding of epileptic networks.
- dsESI offers a valuable tool for optimizing SEEG analysis and surgical planning in focal epilepsy.
