Magnetoencephalography as a Prognostic Tool in Patients with Medically Intractable Temporal Lobe Epilepsy

Chang Kyu Park, Su Jeong Hwang, Na Young Jung, Won Seok Chang, Hyun Ho Jung, Jin Woo Chang

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2 Citations (Scopus)


Background: Most surgical treatments for medically intractable temporal lobe epilepsy are helpful. When a patient has persistent symptoms after surgery, there are no tests that accurately predict whether a patient will have remnant epileptic foci. The aim of this study was to evaluate the usefulness of magnetoencephalography (MEG) as a prognostic tool in patients with temporal lobe epilepsy. Methods: From July 2012 to July 2016, 21 patients underwent preoperative and postoperative MEG at our center. Postoperative MEG was performed within 2 weeks after surgery. We analyzed MEG by estimating the time-frequency component of the signal to define gamma oscillations (GOs), which are an indicator of epileptogenic foci. We analyzed the relationship between GOs on MEG and surgical outcomes. Results: Mean follow-up period was 28.3 months (range, 13–44 months). At the last follow-up visit, patients were divided into 2 groups according to surgical outcome. All patients showed spike waves and GOs on preoperative electroencephalography and MEG. In the seizure control group (16 patients), spike waves (2 patients) and GOs (2 patients) were seen postoperatively despite absence of symptoms. In the recurrent seizure group (5 patients), whereas 3 patients showed spike waves, all 5 patients showed GOs on MEG postoperatively. There was a significant association between presence of GOs on postoperative MEG and surgical outcome (P = 0.01). Conclusions: MEG can provide valuable postsurgical information on epileptic foci in patients with recurrent symptoms; GOs on postoperative MEG were especially correlated with epileptic recurrence. Our data show that GOs on postoperative MEG may have prognostic value.

Original languageEnglish
Pages (from-to)e753-e759
JournalWorld Neurosurgery
Publication statusPublished - 2019 Mar

Bibliographical note

Funding Information:
Conflict of interest statement: This work was supported by the Korea Research Council of Fundamental Science and Technology through a Basic Research Project managed by the Korea Research Institute of Standards and Science. This study was supported by a grant entitled ‘Association study between biomarkers of the brain degeneration based on functional connectivity imaging’ (No. K18172) awarded from the Korea Institute of Oriental Medicine.

Publisher Copyright:
© 2018 Elsevier Inc.

All Science Journal Classification (ASJC) codes

  • Surgery
  • Clinical Neurology


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