Implanting intracranial electrodes does not affect spikes or network connectivity in nearby or connected brain regions
Year: 2022
Type: article
Abstract: To determine the effect of implanting electrodes on electrographic features of nearby and connected brain regions in patients with drug-resistant epilepsy, we analyzed intracranial EEG recordings from 10 patients with drug-resistant epilepsy who underwent implant revision (placement of additional electrodes) during their hospitalization. We performed automated spike detection and measured EEG functional networks. We analyzed the original electrodes that remained in place throughout the full EEG recording, and we measured the change in spike rates and network connectivity in these original electrodes in response to implanting new electrodes. There was no change in overall spike rate pre- to post-implant revision (t(9) = 0.1, p = 0.95). The peri-revision change in the distribution of spike rate and connectivity across electrodes was no greater than chance (Monte Carlo method, spikes: p = 0.40, connectivity: p = 0.42). Electrodes closer to or more functionally connected to the revision site had no greater change in spike rate or connectivity than more distant or less connected electrodes. Changes in electrographic features surrounding electrode implantation are no greater than baseline fluctuations occurring throughout the intracranial recording. These findings argue against an implant effect on spikes or network connectivity in nearby or connected brain regions.
Source: Network Neuroscience
DOI: 10.1162/netn_a_00248
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,750
Awards: G1059899300, G109178180, From ion channel dynamics to human EEG and MEG: multiscale neuronal models validated by human data, G236800840, Ghost in the Machine: Melding Brain, Computer and Behavior, G441074078, Virtual Resection to Treat Epilepsy, Research Training Program in Disease Oriented Neuroscience (R25), Inter-modal Coupling Image Analytics, The Intellectual and Developmental Disabilities Research Center (IDDRC) at CHOP/Penn, Optimized Intracranial EEG Targeting in Focal Epilepsy based upon Neuroimaging Connectomics, Quantitative interictal networks to localize seizure generators, Training Program in Neuroengineering and Medicine, Statistical Methods for Multilevel Multivariate Functional Studies
OpenAlex ID: W4223537320
