Time‐Frequency Fingerprint Analysis in <scp>SEEG</scp> Source‐Space to Identify the Epileptogenic Zone

This case study highlights the application of seizure fingerprint analysis in the source-space of stereo-EEG (SEEG) data to accurately localize the epileptogenic zone (EZ) in patients with complex cortical malformations. A 25-year-old female with extensive bilateral perisylvian polymicrogyria (PMG) presented with intractable focal seizures. The source-level analysis performed in Brainstorm using the sLORETA imaging algorithm subsequently showed EZ fingerprint analysis. The patient underwent MR-guided laser interstitial thermal therapy (LITT), targeting the identified EZ, resulting in postoperative seizure freedom with minimal complications. Extending the analysis from the sensor-space to the source-space could further enhance surgical planning and improve outcomes in complex epilepsy cases.

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Publication Details

Journal
Annals of Clinical and Translational Neurology
Published
2025-07-01
DOI
https://doi.org/10.1002/acn3.70115
Citations
2
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
2.94

Funders

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article

Time‐Frequency Fingerprint Analysis in SEEG Source‐Space to Identify the Epileptogenic Zone

Takfarinas Medani, Jay R. Gavvala, Johnson P. Hampson, Yash Vakilna et al.
2 citations
Annals of Clinical and Translational Neurology
Epilepsy research and treatment
2.94
article

Time‐Frequency Fingerprint Analysis in SEEG Source‐Space to Identify the Epileptogenic Zone

Takfarinas Medani, Jay R. Gavvala, Johnson P. Hampson, Yash Vakilna, John C. Mosher, Richard M. Leahy, Nuria Lacuey, Chinmay Chinara, Samden Lhatoo, Sandipan Pati, D. Atilgan
article en
2 citations

Abstract

This case study highlights the application of seizure fingerprint analysis in the source-space of stereo-EEG (SEEG) data to accurately localize the epileptogenic zone (EZ) in patients with complex cortical malformations. A 25-year-old female with extensive bilateral perisylvian polymicrogyria (PMG) presented with intractable focal seizures. The source-level analysis performed in Brainstorm using the sLORETA imaging algorithm subsequently showed EZ fingerprint analysis. The patient underwent MR-guided laser interstitial thermal therapy (LITT), targeting the identified EZ, resulting in postoperative seizure freedom with minimal complications. Extending the analysis from the sensor-space to the source-space could further enhance surgical planning and improve outcomes in complex epilepsy cases.

Annals of Clinical and Translational NeurologyVol. 12(9)
University of Southern California (US), University of Minnesota Medical Center (US), The University of Texas Health Science Center at Houston (US)
Foundation for the National Institutes of Health, National Institutes of Health
Openalex Percentile: Top 9%
Epilepsy research and treatment
2.94
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Time‐Frequency Fingerprint Analysis in <scp>SEEG</scp> Source‐Space to Identify the Epileptogenic Zone — Takfarinas Medani, Jay R. Gavvala, et al. · Annals of Clinical and Translational Neurology (2025) | TGRS Research Map | TGRS