The identification of distinct high-frequency oscillations during spikes delineates the seizure onset zone better than high-frequency spectral power changes

Julia Jacobs, Christina Vogt, Pierre LeVan, Rina Zelmann, Jean Gotman, Katsuhiro Kobayashi

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

Objective: Interictal high-frequency oscillations (HFOs, 80-500 Hz) can predict the seizure onset zone (SOZ), but visual detection of HFOs is time consuming. Time-frequency analysis can reveal large high-frequency (HF) power changes (80-500 Hz) associated with inter-ictal spikes. The present study determines how well the rate of HFOs and spike-related HF power changes were co-localized with SOZ. Methods: We analyzed 583 channels (68 in the SOZ) sampled from 14 patients who underwent intracranial EEG recording. We determined if the rate of visually-marked HFOs and spike-related HF power changes differed between SOZ and non-SOZ. Results: Significantly higher rates of HFOs were found in SOZ. The degree of spike-related HF power augmentation failed to differ between SOZ and non-SOZ, whereas that of post-spike HF power attenuation was significantly more severe in SOZ compared to in non-SOZ. Regions showing HFOs and large spike-related HF-changes showed a partial overlap in distribution in 7/14 patients. Conclusions: Strong HF augmentation during spikes and high HFO rates occurred over different brain locations. The rate of HFOs showed the best performance in identifying SOZ. Post-spike HF power attenuation may represent increased inhibition in these channels and should be investigated further. Significance: Strong HF power changes during spikes and HFOs per se seem to reflect distinct phenomena.

Original languageEnglish
Pages (from-to)129-142
Number of pages14
JournalClinical Neurophysiology
Volume127
Issue number1
DOIs
Publication statusPublished - Jan 1 2016

Keywords

  • Epilepsy surgery
  • Fast ripple
  • Ripple
  • Seizure onset zone
  • Spikes

ASJC Scopus subject areas

  • Sensory Systems
  • Neurology
  • Clinical Neurology
  • Physiology (medical)

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