Novel Classification System for Temporal Lobe SEEG Explorations

University of Pittsburgh researchers have developed a novel classification system for temporal lobe stereoelectroencephalography (SEEG) explorations. This innovative system facilitates more effective exploration and intervention for drug-resistant temporal lobe epilepsy (TLE). By standardizing implantation coordinates and accounting for anatomical and cytoarchitectonic regions, the classification system enhances the accuracy and reproducibility of SEEG implantations. This approach can significantly improve surgical outcomes, leading to higher rates of seizure freedom and lower rates of neuropsychiatric morbidity.

Description

The classification system for SEEG explorations includes four anatomoelectroclinical (AEC) hypotheses: Mesial lateral temporal (MLT), temporal basal occipital (TBO), anterior perisylvian (AP), and perisylvian (P). It provides standardized implantation coordinates guided by anatomy and seizure semiology. This system can be integrated into automated surgical planning software, ensuring precise and reproducible SEEG implantations. Validation using a cohort of 60 patients with drug-resistant TLE demonstrated the system's effectiveness in guiding surgical treatment and achieving high rates of seizure freedom.

Applications

• Guiding SEEG implantations in patients with drug-resistant temporal lobe epilepsy
• Improving surgical planning and outcomes
• Standardizing SEEG procedures

Advantages

The novel classification system for temporal lobe SEEG explorations offers several advantages by providing standardized implantation coordinates that ensure simple, highly reproducible SEEG implantations with high accuracy and coverage. This approach can be easily integrated into automated surgical planning systems, improving the effectiveness of SEEG interventions and leading to better surgical outcomes.

Invention Readiness

The classification system is developed, with concept defined, copyrightable text existing, in vivo data available, and prototype performance validated. It is ready for further development and commercialization.

IP Status

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