Evidence map›Paper›PMID 40598826›Full record

ArticleAnnals of clinical and translational neurology2025

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

Yash Shashank Vakilna, Deniz Atilgan, Johnson Hampson, Chinmay Chinara, Takfarinas Medani, Richard M Leahy, Nuria Lacuey, Samden D Lhatoo, Sandipan Pati, John C Mosher and 1 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of clinical and translational neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yash Shashank VakilnaTexas Institute for Restorative Neurotechnologies (TIRN), Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0001-5084-9625
Deniz AtilganTexas Institute for Restorative Neurotechnologies (TIRN), Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Johnson HampsonTexas Institute for Restorative Neurotechnologies (TIRN), Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Chinmay ChinaraMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-4474-1359
Takfarinas MedaniMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.
Richard M LeahyMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.
Nuria LacueyTexas Institute for Restorative Neurotechnologies (TIRN), Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0002-6067-7414
Samden D LhatooTexas Institute for Restorative Neurotechnologies (TIRN), Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Sandipan PatiDepartment of Neurology, University of Minnesota Medical School, Minneapolis, USA.ORCID 0000-0003-4171-2138
John C MosherTexas Institute for Restorative Neurotechnologies (TIRN), Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Jay R GavvalaTexas Institute for Restorative Neurotechnologies (TIRN), Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.

Funding

BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG ImagingR01EB026299 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEAHY, RICHARD M · 2018 to 2025
$5.4M
Scalable Software for Distributed Processing and Visualization of Multi-Site MEG/EEG DatasetsR01NS104585 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI MATTI HAMALAINEN · 2018 to 2026
$4.3M
Foundation for the National Institutes of Health R01EB026299NIBIB NIH HHS R01 EB026299NINDS NIH HHS R01 NS104585
6 · The paper itself

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.

Indexed as

Drug Resistant EpilepsyElectroencephalographyPolymicrogyriaAdultFemaleHumansMagnetic Resonance Imagingpolymicrogyriaseegseizure fingerprintsource localizationtime‐frequency decomposition

Identifiers

PMID40598826
PMCPMC12455889

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.