Faculty, Staff and Student Publications
Language
English
Publication Date
9-1-2025
Journal
Annals of Clinical and Translational Neurology
DOI
10.1002/acn3.70115
PMID
40598826
PMCID
PMC12455889
PubMedCentral® Posted Date
7-1-2025
PubMedCentral® Full Text Version
Post-print
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.
Keywords
Humans, Female, Adult, Electroencephalography, Drug Resistant Epilepsy, Magnetic Resonance Imaging, Polymicrogyria, polymicrogyria, seeg, seizure fingerprint, source localization, time‐frequency decomposition
Published Open-Access
yes
Recommended Citation
Vakilna, Yash Shashank; Atilgan, Deniz; Hampson, Johnson; et al., "Time-Frequency Fingerprint Analysis in SEEG Source-Space to Identify the Epileptogenic Zone" (2025). Faculty, Staff and Student Publications. 1709.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/1709
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