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.
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.
Authors: Christian G Bien; Andreas Schulze-Bonhage; Bettina M Soeder; Johannes Schramm; Christian E Elger; Henning Tiemeier Journal: Epilepsia Date: 2006-11 Impact factor: 5.864
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Authors: Jonathan Viventi; Dae-Hyeong Kim; Leif Vigeland; Eric S Frechette; Justin A Blanco; Yun-Soung Kim; Andrew E Avrin; Vineet R Tiruvadi; Suk-Won Hwang; Ann C Vanleer; Drausin F Wulsin; Kathryn Davis; Casey E Gelber; Larry Palmer; Jan Van der Spiegel; Jian Wu; Jianliang Xiao; Yonggang Huang; Diego Contreras; John A Rogers; Brian Litt Journal: Nat Neurosci Date: 2011-11-13 Impact factor: 24.884
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Authors: Jyun-You Liou; Elliot H Smith; Lisa M Bateman; Guy M McKhann; Robert R Goodman; Bradley Greger; Tyler S Davis; Spencer S Kellis; Paul A House; Catherine A Schevon Journal: J Neural Eng Date: 2017-08 Impact factor: 5.379
Authors: Jimmy C Yang; Angelique C Paulk; Pariya Salami; Sang Heon Lee; Mehran Ganji; Daniel J Soper; Daniel Cleary; Mirela Simon; Douglas Maus; Jong Woo Lee; Brian V Nahed; Pamela S Jones; Daniel P Cahill; Garth Rees Cosgrove; Catherine J Chu; Ziv Williams; Eric Halgren; Shadi Dayeh; Sydney S Cash Journal: Clin Neurophysiol Date: 2021-08-02 Impact factor: 4.861