Validating Persyst on Scalp EEG for Temporal Lobe Epilepsy Lateralization

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Interdisciplinary Centers, Units and Projects::Center for Undergraduate Research and Fellowships (CURF)::Fall Research Expo
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Biomedical Engineering and Bioengineering
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Neurology
Epilepsy
EEG
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2025-09-25
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Adenekan, Oluwatomisin
Kim, Juri
Conrad, Erin
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Abstract

Temporal lobe epilepsy (TLE) is the most common drug-resistant epilepsy in adults. Precise localization is critical for surgical treatment. Previous research has shown that interactive spikes are generally useful for lateralizing TLE. In a paper coming out later this year, it’s shown that SpikeNet2’s spike detections can be used to lateralize TLE. However SpikeNet2 it’s not yet widely adopted, and Persyst, a widely used commercial spike detection model, is more established in clinical settings. If Persyst detections can shown to lateralize TLE, the results of the upcoming paper will be more clinically impactful. We analyzed about 97 patients from the epilepsy monitoring unit (EMU), running Persyst on their scalp EEG data to get spike detections and then comparing those to SpikeNet2’s detections. We were able to find that Persyst’s results were similar to SpikeNet’s, and it can be used to lateralize temporal lobe epilepsy.

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2025-09-15
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This project was supported by the Penn Undergraduate Research Mentoring (PURM) program.
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