Detection of spectral instability in EEG recordings during the preictal period

J Neural Eng. 2007 Sep;4(3):173-8. doi: 10.1088/1741-2560/4/3/001. Epub 2007 Apr 4.

Abstract

The study of EEG recordings during the interval prior to an epileptic seizure onset--the preictal period--is likely to detect changes in the ongoing brain activity consistent with seizure anticipation. A novel index of spectral instability (ISpI) based on multiple abrupt changes of EEG spectral features is presented here. Based on the analysis of control records, robust M-estimates are used to calculate the threshold and avoid false warnings. The results obtained with a small data set (three patients, ten preictal records per patient) have shown that the ISpI index provided a warning flag that anticipated the seizure onset by 13.1 (SD = 4.0) min on average.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Brain / physiopathology*
  • Data Interpretation, Statistical
  • Diagnosis, Computer-Assisted / methods*
  • Electroencephalography / methods*
  • Epilepsy / diagnosis*
  • Epilepsy / physiopathology*
  • Humans
  • Pattern Recognition, Automated / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity