Remission of benign epilepsy with rolandic spikes: An EEG-based connectivity study at the onset of the disease and at remission

B. Clemens, S. Puskás, M. Besenyei, T. Spisák, M. Emri, I. Fekete

Research output: Contribution to journalArticle

7 Citations (Scopus)


Purpose: The neuronal mechanisms of remission of epilepsy are not known. Based on the principles of the "network theory of epilepsy" we postulated the existence of abnormal cortico-cortical interactions at the onset of epilepsy (Hypothesis-1), and postulated that remission is associated with the decrease or disappearance of the abnormal quantitative EEG findings (Hypothesis-2). Methods: Four children with benign epilepsy with rolandic sharp waves (BERS) were investigated. 21-channel EEG was recorded at the onset of the disease (Setting No. 1) and in remission (Setting No. 2). Local EEG synchronization was estimated by LORETA (low resolution electromagnetic tomography). Remote EEG synchronization (intra-hemispheric, cortico-cortical EEG functional connectivity, EEGfC) was computed by the LSC (LORETA Source Correlation) method, among 23 regions of interest (ROI) in both hemispheres. Both local and remote EEG synchronization were evaluated in very narrow frequency bands of 1. Hz bandwidth (VNB), from 1 to 25. Hz. Results: Individual results were presented. Abnormal but topographically very dissimilar LORETA and LSC findings were found at the onset of the disease. The disappearance of the initial abnormalities was found in Setting No. 2. An unforeseen finding was the presence of abnormal EEGfC results in Setting No. 2. Discussion: The authors confirmed both hypotheses. The dissimilarity of the initial abnormalities is in accord with the network concept of epilepsy and the etiology of BERS. The disappearance of the initial abnormalities reflects "normalization" of network dynamics while the emergence of new EEGfC abnormalities is interpreted as "compensation". Conclusion: EEG-based local and remote connectivity (EEGfC) are appropriate tools to describe network dynamics in the active state of BERS and in remission.

Original languageEnglish
Pages (from-to)128-135
Number of pages8
JournalEpilepsy Research
Issue number1-2
Publication statusPublished - Sep 1 2013



  • EEG
  • Epilepsy
  • LORETA Source Correlation
  • Network theory
  • Remission

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

Cite this