Ictal EEG Signal Patterns in Focal Epilepsy: Insights into the Localization of the Epileptogenic Zone - Report - MDSpire

Ictal EEG Signal Patterns in Focal Epilepsy: Insights into the Localization of the Epileptogenic Zone

  • By

  • Lingli Hu

  • Lingqi Ye

  • Hongyi Ye

  • Xiaochen Liu

  • Kai Xiong

  • Yuanming Zhang

  • Zhe Zheng

  • Hongjie Jiang

  • Cong Chen

  • Chunhong Shen

  • Zhongjin Wang

  • Jiping Zhou

  • Yingcai Wu

  • Kejie Huang

  • Junming Zhu

  • Zhong Chen

  • Meiping Ding

  • Shennan Weiss

  • Dongping Yang

  • Shuang Wang

  • January 28, 2026

  • 0 min

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Clinical Report: Ictal EEG Signal Patterns in Focal Epilepsy

Overview

This report examines the ictal EEG signal patterns in patients with focal epilepsy, highlighting the significance of the harmonic pattern (H pattern) in localizing the epileptogenic zone (EZ). The findings suggest that the H pattern may enhance the understanding of seizure dynamics and improve surgical outcomes for drug-resistant epilepsy.

Background

Accurate localization of the epileptogenic zone (EZ) is crucial for successful surgical interventions in drug-resistant focal epilepsy. Current methods, primarily relying on visual inspection of ictal EEG patterns, show limited efficacy, particularly for slower seizure onset patterns. Understanding the complex dynamics of seizure propagation and the role of ictal EEG features is essential for optimizing surgical outcomes.

Data Highlights

No numerical data or trial data available in the source material.

Key Findings

  • The harmonic pattern (H pattern) consists of multiple, equidistant, high-density frequency bands that vary over time during seizures.
  • The H pattern is observed in both experimental models and clinical recordings of focal epilepsy.
  • Nonlinear neural oscillations indicated by the presence of harmonics are relevant to understanding seizure dynamics.
  • Current methods for EZ localization require further optimization due to the heterogeneity of ictal patterns.
  • Quantitative EEG analysis methods, such as the epileptogenicity index, assist in identifying the EZ but have limitations for slower seizure onset patterns.

Clinical Implications

The identification of the H pattern in ictal EEG recordings may provide clinicians with a novel tool for better localization of the EZ, potentially leading to improved surgical outcomes. Enhanced understanding of seizure dynamics through quantitative EEG analysis could inform presurgical evaluations and intervention strategies.

Conclusion

The study underscores the importance of ictal EEG signal patterns in understanding focal epilepsy and highlights the potential of the H pattern in enhancing the localization of the epileptogenic zone. Further research is warranted to refine these methods for clinical application.

References

  1. Author(s)/Org, Source, Year -- Title
  2. Author(s)/Org, Source, Year -- Title
  3. Author(s)/Org, Source, Year -- Title
  4. Author(s)/Org, Source, Year -- Title
  5. Timing of Referral to Evaluate for Epilepsy Surgery: Expert Consensus Recommendations from the Surgical Therapies Commission of the International League Against Epilepsy - PMC
  6. Current Opinion in Neurology, 2025 -- SEEG in 2025: Progress and Pending Challenges in
  7. Timing of Referral to Evaluate for Epilepsy Surgery: Expert Consensus Recommendations from the Surgical Therapies Commission of the International League Against Epilepsy - PMC
  8. Current Opinion in Neurology

Original Source(s)

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