Detecting sub-second changes in brain activation patterns during interictal epileptic spike using simultaneous EEG-fMRI

Epifanio Bagarinao, Satoshi Maesawa, Yuji Ito, Naotaka Usui, Jun Natsume, Hirohisa Watanabe, Minoru Hoshiyama, Toshihiko Wakabayashi, Gen Sobue, Shinji Naganawa, Haruo Isoda

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Objective Epileptic spikes are associated with rapidly changing brain activation involving the epileptic foci and other brain regions in the “epileptic network”. We aim to resolve these activation changes using simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) recordings. Methods Simultaneous EEG-fMRI recordings from 9 patients with epilepsy were used in the analysis. Our method employed the whole scalp EEG data to generate regressors for the analysis of fMRI data using the general linear model. Results We were able to resolve, with milliseconds temporal resolution, changes in activation patterns involving suspected epileptic foci and other brain regions in the epileptic network during spike and slow wave. Using summary maps (called SSWAS maps) which show the activation frequency of voxels, we found that suspected epileptic foci tend to be significantly active during this interval. SSWAS maps also enabled the detection of the epileptic foci in 4 of 5 patients where the conventional event-timing-based analysis failed to identify. Conclusion These findings demonstrated the efficacy of the method and the potential application of SSWAS maps to identify epileptic foci. Significance The method could help resolve activation changes during epileptic spike and could provide insights into the underlying pathophysiology of these changes.

Original languageEnglish
Pages (from-to)377-389
Number of pages13
JournalClinical Neurophysiology
Volume129
Issue number2
DOIs
Publication statusPublished - 02-2018

All Science Journal Classification (ASJC) codes

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

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