AI Article Synopsis
- Current epilepsy mapping often uses sparse electrode arrays, but new research highlights the importance of high-resolution electrodes to study seizure dynamics more effectively.
- Researchers used flexible electrode arrays with 500 μm spacing on cats to examine how epileptiform activity propagates in real-time before and during seizures.
- Findings suggest that high-resolution recordings reveal distinct seizure patterns that standard methods miss, providing valuable insights into seizure networks.
Article Abstract
Objective: Current mapping of epileptic networks in patients prior to epilepsy surgery utilizes electrode arrays with sparse spatial sampling (∼1.0 cm inter-electrode spacing). Recent research demonstrates that sub-millimeter, cortical-column-scale domains have a role in seizure generation that may be clinically significant. We use high-resolution, active, flexible surface electrode arrays with 500 μm inter-electrode spacing to explore epileptiform local field potential (LFP) spike propagation patterns in two dimensions recorded from subdural micro-electrocorticographic signals in vivo in cat. In this study, we aimed to develop methods to quantitatively characterize the spatiotemporal dynamics of epileptiform activity at high-resolution.
Approach: We topically administered a GABA-antagonist, picrotoxin, to induce acute neocortical epileptiform activity leading up to discrete electrographic seizures. We extracted features from LFP spikes to characterize spatiotemporal patterns in these events. We then tested the hypothesis that two-dimensional spike patterns during seizures were different from those between seizures.
Main Results: We showed that spatially correlated events can be used to distinguish ictal versus interictal spikes.
Significance: We conclude that sub-millimeter-scale spatiotemporal spike patterns reveal network dynamics that are invisible to standard clinical recordings and contain information related to seizure-state.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4807853 | PMC |
| http://dx.doi.org/10.1088/1741-2560/13/2/026015 | DOI Listing |
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