Intraoperative microseizure detection using a high-density micro-electrocorticography electrode array.

Journal Article (Journal Article)

One-third of epilepsy patients suffer from medication-resistant seizures. While surgery to remove epileptogenic tissue helps some patients, 30-70% of patients continue to experience seizures following resection. Surgical outcomes may be improved with more accurate localization of epileptogenic tissue. We have previously developed novel thin-film, subdural electrode arrays with hundreds of microelectrodes over a 100-1000 mm2 area to enable high-resolution mapping of neural activity. Here, we used these high-density arrays to study microscale properties of human epileptiform activity. We performed intraoperative micro-electrocorticographic recordings in nine patients with epilepsy. In addition, we recorded from four patients with movement disorders undergoing deep brain stimulator implantation as non-epileptic controls. A board-certified epileptologist identified microseizures, which resembled electrographic seizures normally observed with clinical macroelectrodes. Recordings in epileptic patients had a significantly higher microseizure rate (2.01 events/min) than recordings in non-epileptic subjects (0.01 events/min; permutation test, P = 0.0068). Using spatial averaging to simulate recordings from larger electrode contacts, we found that the number of detected microseizures decreased rapidly with increasing contact diameter and decreasing contact density. In cases in which microseizures were spatially distributed across multiple channels, the approximate onset region was identified. Our results suggest that micro-electrocorticographic electrode arrays with a high density of contacts and large coverage are essential for capturing microseizures in epilepsy patients and may be beneficial for localizing epileptogenic tissue to plan surgery or target brain stimulation.

Full Text

Duke Authors

Cited Authors

  • Sun, J; Barth, K; Qiao, S; Chiang, C-H; Wang, C; Rahimpour, S; Trumpis, M; Duraivel, S; Dubey, A; Wingel, KE; Rachinskiy, I; Voinas, AE; Ferrentino, B; Southwell, DG; Haglund, MM; Friedman, AH; Lad, SP; Doyle, WK; Solzbacher, F; Cogan, G; Sinha, SR; Devore, S; Devinsky, O; Friedman, D; Pesaran, B; Viventi, J

Published Date

  • 2022

Published In

Volume / Issue

  • 4 / 3

Start / End Page

  • fcac122 -

PubMed ID

  • 35663384

Pubmed Central ID

  • PMC9155612

Electronic International Standard Serial Number (EISSN)

  • 2632-1297

Digital Object Identifier (DOI)

  • 10.1093/braincomms/fcac122

Language

  • eng

Conference Location

  • England