Scientific article
OA Policy
English

MRI-compatible and conformal electrocorticography grids for translational research

Published inAdvanced Science, vol. 8, no. 9, 2003761
Publication date2021
Abstract

Intraoperative electrocorticography (ECoG) captures neural information from the surface of the cerebral cortex during surgeries such as resections for intractable epilepsy and tumors. Current clinical ECoG grids come in evenly spaced, millimeter-sized electrodes embedded in silicone rubber. Their mechanical rigidity and fixed electrode spatial resolution are common shortcomings reported by the surgical teams. Here, advances in soft neurotechnology are leveraged to manufacture conformable subdural, thin-film ECoG grids, and evaluate their suitability for translational research. Soft grids with 0.2 to 10 mm electrode pitch and diameter are embedded in 150 µm silicone membranes. The soft grids are compatible with surgical handling and can be folded to safely interface hidden cerebral surface such as the Sylvian fold in human cadaveric models. It is found that the thin-film conductor grids do not generate diagnostic-impeding imaging artefacts (<1 mm) nor adverse local heating within a standard 3T clinical magnetic resonance imaging scanner. Next, the ability of the soft grids to record subdural neural activity in minipigs acutely and two weeks postimplantation is validated. Taken together, these results suggest a promising future alternative to current stiff electrodes and may enable the future adoption of soft ECoG grids in translational research and ultimately in clinical settings.

Keywords
  • MRI compatibility
  • Electrocorticography
  • Neural implants
  • Soft electrodes
  • Translational research
Citation (ISO format)
FALLEGGER, Florian et al. MRI-compatible and conformal electrocorticography grids for translational research. In: Advanced Science, 2021, vol. 8, n° 9, p. 2003761. doi: 10.1002/advs.202003761
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Article (Published version)
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ISSN of the journal2198-3844
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Technical informations

Creation09/21/2021 9:04:00 PM
First validation09/21/2021 9:04:00 PM
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