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Flexible, high-resolution cortical arrays with large coverage capture microscale high-frequency oscillations in patients with epilepsy.
Barth, Katrina J; Sun, James; Chiang, Chia-Han; Qiao, Shaoyu; Wang, Charles; Rahimpour, Shervin; Trumpis, Michael; Duraivel, Suseendrakumar; Dubey, Agrita; Wingel, Katie E; Voinas, Alex E; Ferrentino, Breonna; Doyle, Werner; Southwell, Derek G; Haglund, Michael M; Vestal, Matthew; Harward, Stephen C; Solzbacher, Florian; Devore, Sasha; Devinsky, Orrin; Friedman, Daniel; Pesaran, Bijan; Sinha, Saurabh R; Cogan, Gregory B; Blanco, Justin; Viventi, Jonathan.
Afiliação
  • Barth KJ; Department of Biomedical Engineering, Duke University, North Carolina, Durham, USA.
  • Sun J; Center for Neural Science, New York University, New York, New York, USA.
  • Chiang CH; Department of Biomedical Engineering, Duke University, North Carolina, Durham, USA.
  • Qiao S; Center for Neural Science, New York University, New York, New York, USA.
  • Wang C; Department of Biomedical Engineering, Duke University, North Carolina, Durham, USA.
  • Rahimpour S; Department of Neurosurgery, Clinical Neuroscience Center, University of Utah, Utah, Salt Lake City, USA.
  • Trumpis M; Department of Biomedical Engineering, University of Utah, Utah, Salt Lake City, USA.
  • Duraivel S; Department of Biomedical Engineering, Duke University, North Carolina, Durham, USA.
  • Dubey A; Department of Biomedical Engineering, Duke University, North Carolina, Durham, USA.
  • Wingel KE; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, Philadelphia, USA.
  • Voinas AE; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, Philadelphia, USA.
  • Ferrentino B; Center for Neural Science, New York University, New York, New York, USA.
  • Doyle W; Center for Neural Science, New York University, New York, New York, USA.
  • Southwell DG; Department of Neurosurgery, NYU Langone Health, New York, New York, USA.
  • Haglund MM; Department of Neurobiology, Duke University School of Medicine, North Carolina, Durham, USA.
  • Vestal M; Department of Neurosurgery, Duke University School of Medicine, North Carolina, Durham, USA.
  • Harward SC; Department of Neurosurgery, Duke University School of Medicine, North Carolina, Durham, USA.
  • Solzbacher F; Department of Neurosurgery, Duke University School of Medicine, North Carolina, Durham, USA.
  • Devore S; Department of Pediatrics, Duke University School of Medicine, North Carolina, Durham, USA.
  • Devinsky O; Department of Neurosurgery, Duke University School of Medicine, North Carolina, Durham, USA.
  • Friedman D; Department of Biomedical Engineering, University of Utah, Utah, Salt Lake City, USA.
  • Pesaran B; Department of Electrical and Computer Engineering, University of Utah, Utah, Salt Lake City, USA.
  • Sinha SR; Department of Materials Science and Engineering, University of Utah, Utah, Salt Lake City, USA.
  • Cogan GB; Department of Neurology, NYU Grossman School of Medicine, New York, New York, USA.
  • Blanco J; Department of Neurosurgery, NYU Langone Health, New York, New York, USA.
  • Viventi J; Department of Neurology, NYU Grossman School of Medicine, New York, New York, USA.
Epilepsia ; 64(7): 1910-1924, 2023 07.
Article em En | MEDLINE | ID: mdl-37150937
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epilepsia / Ondas Encefálicas / Epilepsia Resistente a Medicamentos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Epilepsia Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epilepsia / Ondas Encefálicas / Epilepsia Resistente a Medicamentos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Epilepsia Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos