Literature DB >> 32554357

Spike-associated networks and intracranial electrographic findings.

Joshua J Bear1, Heidi E Kirsch2, Brian D Berman3, Kevin E Chapman1, Jason R Tregellas4.   

Abstract

Functional connectivity is providing new insights into the network nature of epilepsy with growing clinical applications. Our objective was to validate a novel magnetoencephalography-based method to non-invasively measure the epileptic network. We retrospectively identified pediatric and adult patients with refractory focal epilepsy who underwent pre-surgical magnetoencephalography with subsequent intracranial electrographic monitoring. Magnetoencephalography tracings were visually reviewed, and interictal epileptiform discharges ("spikes") were individually marked. We then evaluated differences in whole-brain connectivity during brief epochs preceding the spikes and during the spikes using the Network-Based Statistic to test differences at the network level. In six patients with statistically-significant network differences, we observed substantial overlap between the spike-associated networks and electrographically active areas identified during intracranial monitoring (the spike-associated network was 78% and 83% sensitive for intracranial electroencephalography-defined regions in the irritative and seizure onset zones, respectively). These findings support the neurobiological validity of the spike-associated network method. Assessment of spike-associated networks has the potential to improve surgical planning in epilepsy surgery patients by identifying components of the epileptic network prior to implantation.

Entities:  

Keywords:  epilepsy; functional connectivity; intracranial electroencephalography; magnetoencephalography

Mesh:

Year:  2020        PMID: 32554357     DOI: 10.1684/epd.2020.1163

Source DB:  PubMed          Journal:  Epileptic Disord        ISSN: 1294-9361            Impact factor:   1.819


  1 in total

1.  Spike-Associated Networks Predict Postsurgical Outcomes in Children With Refractory Epilepsy.

Authors:  Joshua J Bear; Jenifer L Sargent; Brent R O'Neill; Kevin E Chapman; Debashis Ghosh; Heidi E Kirsch; Jason R Tregellas
Journal:  J Clin Neurophysiol       Date:  2021-11-23       Impact factor: 2.590

  1 in total

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