Sparse MEG source imaging in Landau-Kleffner syndrome

Annu Int Conf IEEE Eng Med Biol Soc. 2011:2011:4909-12. doi: 10.1109/IEMBS.2011.6091216.

Abstract

Epilepsy patients with Landau-Kleffner syndrome (LKS) usually have a normal brain structure, which makes it a challenge to identify the epileptogenic zone only based on magnetic resonance imaging (MRI) data. A sparse source imaging technique called variation based sparse cortical current density (VB-SCCD) imaging was adopted here to reconstruct cortical sources of magnetoencephalography (MEG) interictal spikes from an LKS patient. Realistic boundary element (BE) head and cortex models were built by segmenting structural MRI. 148-channel MEG was recorded for 10 minutes between seizures. Total 29 epileptiform spikes were selected for analysis. The primary cortical sources were observed locating at the left intra- and perisylvian cortex. Multiple extrasylvian sources were identified as the secondary sources. The spatio-temporal patterns of cortical sources provide more insights about the neuronal synchrony and propagation of epileptic discharges. Our observations were consistent with presurgical diagnosis for this patient and observation of aphasia in LKS. The present results suggest that the promising of VB-SCCD technique in assisting with presurgical planning and studying the neural network for LKS in determining the lateralization of epileptic origins. It can further be applied to non-invasively localize and/or lateralize eloquent cortex for language for epilepsy patients in general in the future.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms*
  • Brain / physiopathology*
  • Brain Mapping / methods*
  • Computer Simulation
  • Diagnosis, Computer-Assisted / methods*
  • Humans
  • Landau-Kleffner Syndrome / diagnosis*
  • Landau-Kleffner Syndrome / physiopathology*
  • Magnetoencephalography / methods*
  • Models, Neurological*
  • Reproducibility of Results
  • Sensitivity and Specificity