Imaging the seizure onset zone with stereo-electroencephalography

Area of Science:

• Neuroscience
• Medical Imaging
• Epileptology

Background:

• Stereo-electroencephalography (SEEG) is crucial for localizing seizure onset zones in epilepsy surgery.
• The epileptogenicity index, quantifying low-voltage fast activity, aids visual assessment but lacks robust quantification.
• Neuroimaging tools can enhance the analysis of SEEG data for epilepsy surgery planning.

Purpose of the Study:

• To propose a robust, time- and space-explorable neuroimaging approach for analyzing SEEG data.
• To quantify epileptogenicity using statistical parametric mapping (SPM) for improved seizure onset zone identification.
• To support clinical decisions in epilepsy surgery through quantitative neuroimaging of SEEG features.

Main Methods:

• Utilized statistical parametric mapping (SPM) for analyzing multi-dimensional SEEG image data.
• Applied group-level statistics and normalization to a common anatomic atlas for inter-patient and inter-seizure comparisons.
• Validated the approach through case studies of insular, frontal, and occipital epilepsy, and a group of mesial temporal lobe epilepsy patients.

Main Results:

• Demonstrated the reproducibility and specificity of the proposed quantitative neuroimaging technique.
• Successfully summarized complex SEEG signals into time-series of statistical parametric maps.
• Case studies and group analysis illustrated the technique's effectiveness in identifying seizure onset zones.

Conclusions:

• The quantitative neuroimaging approach offers a robust method for analyzing SEEG data.
• This technique enhances the quantification of the seizure onset zone, aiding clinical decision-making.
• Improved pre-surgical assessment for patients undergoing resective epilepsy surgery is facilitated by this quantitative neuroimaging method.