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Flexible, high-resolution cortical arrays with large coverage capture microscale high-frequency oscillations in patients with epilepsy

  • Katrina J. Barth
  • , James Sun
  • , Chia Han Chiang
  • , Shaoyu Qiao
  • , Charles Wang
  • , Shervin Rahimpour
  • , Michael Trumpis
  • , Suseendrakumar Duraivel
  • , Agrita Dubey
  • , Katie E. Wingel
  • , Alex E. Voinas
  • , Breonna Ferrentino
  • , Werner Doyle
  • , Derek G. Southwell
  • , Michael M. Haglund
  • , Matthew Vestal
  • , Stephen C. Harward
  • , Florian Solzbacher
  • , Sasha Devore
  • , Orrin Devinsky
  • Daniel Friedman, Bijan Pesaran, Saurabh R. Sinha, Gregory B. Cogan, Justin Blanco, Jonathan Viventi

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Objective: Effective surgical treatment of drug-resistant epilepsy depends on accurate localization of the epileptogenic zone (EZ). High-frequency oscillations (HFOs) are potential biomarkers of the EZ. Previous research has shown that HFOs often occur within submillimeter areas of brain tissue and that the coarse spatial sampling of clinical intracranial electrode arrays may limit the accurate capture of HFO activity. In this study, we sought to characterize microscale HFO activity captured on thin, flexible microelectrocorticographic (μECoG) arrays, which provide high spatial resolution over large cortical surface areas. Methods: We used novel liquid crystal polymer thin-film μECoG arrays (.76–1.72-mm intercontact spacing) to capture HFOs in eight intraoperative recordings from seven patients with epilepsy. We identified ripple (80–250 Hz) and fast ripple (250–600 Hz) HFOs using a common energy thresholding detection algorithm along with two stages of artifact rejection. We visualized microscale subregions of HFO activity using spatial maps of HFO rate, signal-to-noise ratio, and mean peak frequency. We quantified the spatial extent of HFO events by measuring covariance between detected HFOs and surrounding activity. We also compared HFO detection rates on microcontacts to simulated macrocontacts by spatially averaging data. Results: We found visually delineable subregions of elevated HFO activity within each μECoG recording. Forty-seven percent of HFOs occurred on single 200-μm-diameter recording contacts, with minimal high-frequency activity on surrounding contacts. Other HFO events occurred across multiple contacts simultaneously, with covarying activity most often limited to a.95-mm radius. Through spatial averaging, we estimated that macrocontacts with 2–3-mm diameter would only capture 44% of the HFOs detected in our μECoG recordings. Significance: These results demonstrate that thin-film microcontact surface arrays with both highresolution and large coverage accurately capture microscale HFO activity and may improve the utility of HFOs to localize the EZ for treatment of drug-resistant epilepsy.

Original languageEnglish
Pages (from-to)1910-1924
Number of pages15
JournalEpilepsia
Volume64
Issue number7
DOIs
StatePublished - Jul 2023
Externally publishedYes

Keywords

  • drug-resistant epilepsy
  • high-frequency oscillations
  • interictal
  • intraoperative
  • microelectrocorticography

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