A Framework for EEG Source Imaging Utilizing Network Analysis to Noninvasively Identify Epileptogenic Zones in Patients with MRI-Negative Focal Drug-Resistant Epilepsy - Report - MDSpire

A Framework for EEG Source Imaging Utilizing Network Analysis to Noninvasively Identify Epileptogenic Zones in Patients with MRI-Negative Focal Drug-Resistant Epilepsy

  • By

  • Shicun Huang

  • Xiaowei Hu

  • Yiqing Wang

  • Wei Gao

  • Qi Fang

  • January 15, 2026

  • 0 min

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Clinical Report: EEG Source Imaging Framework for MRI-Negative Epilepsy

Overview

This study presents a multidimensional framework for EEG source imaging aimed at noninvasively identifying epileptogenic zones in patients with MRI-negative focal drug-resistant epilepsy. The integration of power spectral density, directed transfer function, and graph-theoretical metrics enhances the characterization of epileptogenic networks, potentially improving presurgical evaluation outcomes.

Background

Epilepsy remains a significant clinical challenge, particularly in patients with drug-resistant forms where conventional treatments fail. MRI-negative epilepsy complicates surgical interventions, as the absence of structural abnormalities limits effective localization of the epileptogenic zone. Advances in electroencephalographic source imaging and network analysis offer promising avenues for improving surgical outcomes in this patient population.

Data Highlights

This study included 15 patients with MRI-negative focal drug-resistant epilepsy who underwent surgery, with a focus on utilizing advanced EEG analysis techniques.

Key Findings

  • Approximately one-third of epilepsy patients develop drug-resistant epilepsy despite treatment.
  • Seizure freedom post-surgery is achieved in only 40-50% of MRI-negative epilepsy cases.
  • Electroencephalographic source imaging (ESI) shows good concordance with intracranial EEG findings.
  • Functional connectivity analysis can improve localization accuracy in MRI-negative epilepsy, exceeding 75% in selected cohorts.
  • The proposed framework integrates multiple analytical methods to enhance the understanding of epileptogenic networks.

Clinical Implications

The integration of advanced EEG source imaging techniques can significantly aid in the presurgical evaluation of patients with MRI-negative epilepsy. By characterizing the broader epileptogenic networks, clinicians may improve surgical planning and outcomes for this challenging patient group.

Conclusion

This study underscores the potential of a multidimensional EEG source imaging framework to enhance the localization of epileptogenic zones in MRI-negative epilepsy, thereby supporting better surgical decision-making.

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. Author(s)/Org, Source, Year -- Title
  6. Brain — Multicentre analysis of seizure outcome predicted by removal of high-frequency oscillations
  7. NICE Guidance on Epilepsy
  8. NAEC Accreditation Criteria for 2025
  9. Current Opinion in Neurology
  10. ILAE neuroimaging task force highlight: The utility of multimodal neuroimaging in diagnostic and presurgical workup of drug‐resistant focal epilepsy - PMC
  11. Intracranial electroencephalographic connectivity analysis to localize epileptogenic networks: Systematic review and meta-analysis from ILAE Epilepsy Surgery Networks Task Force - PubMed
  12. Accuracy of predicting surgical outcomes using interictal electrical source imaging in patients with MRI-negative intractable epilepsy - ScienceDirect
  13. Detection of epileptogenic zones in people with epilepsy using optimized EEG-fMRI - PubMed
  14. MRI-negative epilepsy: A systematic review and meta-analysis - PubMed
  15. A randomized, controlled trial of surgery for temporal-lobe epilepsy - PubMed

Original Source(s)

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