Evidence map›Paper›PMID 42856023›Full record

ArticleAnnals of clinical and translational neurology2026

Complementing Engel Classification: Postoperative Scalp EEG as an Objective Indicator in SEEG-Guided Radiofrequency Thermocoagulation-A Seizure-Onset Pattern-Based Stratified Analysis.

Yi-Qing Yang, Rui Zhang, Haiyan Ma, Lu Yang, Xuefeng Qu, Qiqi Chen, Yan Zhang

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Article in Annals of clinical and translational neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Yi-Qing YangDepartment of Functional Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0009-7905-0492
Rui ZhangDepartment of Functional Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Haiyan MaDepartment of Epilepsy Center, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Lu YangDepartment of Epilepsy Center, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Xuefeng QuDepartment of Epilepsy Center, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Qiqi ChenDepartment of Epilepsy Center, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Yan ZhangDepartment of Functional Neurosurgery, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStereoelectroencephalography-guided radiofrequency thermocoagulation (SEEG-RFTC) is a minimally invasive therapy for drug-resistant focal epilepsy. However, the relationship between specific seizure-onset patterns (SOPs), particularly low-voltage fast activity (LVFA), and postoperative scalp EEG normalization remains inadequately characterized. This study investigates whether LVFA predicts RFTC efficacy and whether postoperative EEG serves as an objective complement to clinical outcome measures.

objectiveTo evaluate LVFA-dominant SOPs as predictors of seizure freedom and scalp EEG normalization after SEEG-RFTC, and to assess their interaction with MRI findings.

methodsIn a retrospective cohort of 25 patients, seizure-onset patterns (SOPs) were classified as LVFA-present (n = 13) or LVFA-absent (n = 12). Outcomes included Engel classification and 6-month postoperative scalp EEG. Seizure freedom and EEG normalization rates were compared, with MRI-stratified analysis.

resultsThe seizure-free rate was 92.3% (12/13) in the LVFA-present group versus 33.3% (4/12) in the LVFA-absent group (p = 0.004). EEG normalization was more frequent in LVFA-present patients (7/8, 87.5%) than in LVFA-absent patients (4/12, 33.3%; p = 0.028); all but one patient with EEG normalization was seizure-free, the sole exception being an LVFA-absent patient who remained Engel III. In MRI-negative patients, LVFA-present had 100% (6/6) seizure freedom versus 20.0% (1/5) without LVFA (p = 0.015). Scalp EEG normalization may serve as a relatively objective marker of complete disintegration of the epileptic network, whereas some patients with persistent EEG abnormalities may still achieve seizure freedom with the aid of antiseizure medications.

conclusionIn this cohort, LVFA-present SOPs are strongly associated with favorable RFTC outcomes and may represent a prerequisite for postoperative scalp EEG normalization. Postoperative EEG is a sensitive objective endpoint that complements Engel classification. Systematic PET evaluation in larger cohorts may further refine candidate selection in MRI-negative patients.

Indexed as

drug‐resistant epilepsylow‐voltage fast activitypostoperative electroencephalographyradiofrequency thermocoagulationseizure‐onset patternStereoelectroencephalography

Identifiers

PMID42856023
PMCPMC13653232

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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.