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Published February 5, 2025 | Version v1
Preprint Open

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

Creators

  • 1. Texas Institute for Restorative Neurotechnologies (TIRN), Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77054, United States
  • 2. ROR icon University of Southern California
  • 3. Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, United States
  • 4. Department of Neurology, University of Minnesota Medical School

Description

This case study highlights the application of seizure fingerprint analysis in the source-space of 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 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, 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.

Files

BST_dataset.zip

Files (3.2 GB)

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Additional details

Related works

Is published in
Publication: 10.1002/acn3.70115 (DOI)

Funding

National Institute of Biomedical Imaging and Bioengineering
R01EB026299

Software

Programming language
MATLAB