Network excitability of stimulation-induced spectral responses helps localize the seizure onset zone

•Network analysis of stimulation-induced spectral responses can identify increased excitability within the seizure onset zone (SOZ)•Prediction of SOZ sites is good in surgical success cases and poor in surgical failure cases.•Alignment of high centrality sites with SOZ sites that were targeted for s...

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Published in:Clinical neurophysiology 2024-10, Vol.166, p.43-55
Main Authors: Hays, Mark A., Daraie, Amir H., Smith, Rachel J., Sarma, Sridevi V., Crone, Nathan E., Kang, Joon Y.
Format: Article
Language:English
Subjects:
Cortico-cortical evoked potential
Cortico-cortical spectral response
Intracranial EEG
Single pulse electrical stimulation
Surgical outcome
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Summary:•Network analysis of stimulation-induced spectral responses can identify increased excitability within the seizure onset zone (SOZ)•Prediction of SOZ sites is good in surgical success cases and poor in surgical failure cases.•Alignment of high centrality sites with SOZ sites that were targeted for surgical treatment may predict surgical outcome. While evoked potentials elicited by single pulse electrical stimulation (SPES) may assist seizure onset zone (SOZ) localization during intracranial EEG (iEEG) monitoring, induced high frequency activity has also shown promising utility. We aimed to predict SOZ sites using induced cortico-cortical spectral responses (CCSRs) as an index of excitability within epileptogenic networks. SPES was conducted in 27 epilepsy patients undergoing iEEG monitoring and CCSRs were quantified by significant early (10–200 ms) increases in power from 10 to 250 Hz. Using response power as CCSR network connection strengths, graph centrality measures (metrics quantifying each site’s influence within the network) were used to predict whether sites were within the SOZ. Across patients with successful surgical outcomes, greater CCSR centrality predicted SOZ sites and SOZ sites targeted for surgical treatment with median AUCs of 0.85 and 0.91, respectively. We found that the alignment between predicted and targeted SOZ sites predicted surgical outcome with an AUC of 0.79. These findings indicate that network analysis of CCSRs can be used to identify increased excitability of SOZ sites and discriminate important surgical targets within the SOZ. CCSRs may supplement traditional passive iEEG monitoring in seizure localization, potentially reducing the need for recording numerous seizures.
ISSN:1388-2457
1872-8952
1872-8952
DOI:10.1016/j.clinph.2024.07.010