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Bursts with High and Low Load of Epileptiform Spikes Show Contex-Dependent Correlations in Epileptic Mice
Univ Freiburg, Dept Microsyst Engn IMTEK, Biomicrotechnol, Fac Engn, D-79110 Freiburg, Germany.;Univ Freiburg, Bernstein Ctr Freiburg, D-79104 Freiburg, Germany.;Univ Freiburg, Fac Biol, D-79104 Freiburg, Germany..
Univ Freiburg, Dept Microsyst Engn IMTEK, Biomicrotechnol, Fac Engn, D-79110 Freiburg, Germany.;Univ Freiburg, Bernstein Ctr Freiburg, D-79104 Freiburg, Germany.;Univ Freiburg, Fac Biol, D-79104 Freiburg, Germany..
Univ Freiburg, Fac Biol, D-79104 Freiburg, Germany.;Univ Freiburg, Dept Neurosurg, Med Ctr, Expt Epilepsy Res, D-79106 Freiburg, Germany..
Univ Freiburg, Dept Neurosurg, Med Ctr, Expt Epilepsy Res, D-79106 Freiburg, Germany.;Univ Freiburg, BrainLinks BrainTools Cluster Excellence, D-79110 Freiburg, Germany..
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2019 (English)In: ENEURO, ISSN 2373-2822, Vol. 6, no 5, article id UNSP ENEURO.0299-18.2019Article in journal (Refereed) Published
Abstract [en]

Hypersynchronous network activity is the defining hallmark of epilepsy and manifests in a wide spectrum of phenomena, of which electrographic activity during seizures is only one extreme. The aim of this study was to differentiate between different types of epileptiform activity (EA) patterns and investigate their temporal succession and interactions. We analyzed local field potentials (LFPs) from freely behaving male mice that had received an intrahippocampal kainate injection to model mesial temporal lobe epilepsy (MTLE). Epileptiform spikes occurred in distinct bursts. Using machine learning, we derived a scale reflecting the spike load of bursts and three main burst categories that we labeled high-load, medium-load, and low-load bursts. We found that bursts of these categories were non-randomly distributed in time. High-load bursts formed clusters and were typically surrounded by transition phases with increased rates of medium-load and low-load bursts. In apparent contradiction to this, increased rates of low-load bursts were also associated with longer background phases, i.e., periods lacking high-load bursting. Furthermore, the rate of low-load bursts was more strongly correlated with the duration of background phases than the overall rate of epileptiform spikes. Our findings are consistent with the hypothesis that low-level EA could promote network stability but could also participate in transitions towards major epileptiform events, depending on the current state of the network.

Place, publisher, year, edition, pages
SOC NEUROSCIENCE , 2019. Vol. 6, no 5, article id UNSP ENEURO.0299-18.2019
Keywords [en]
electrographic seizures, epileptic spikes, epileptiform activity, hippocampus, interictal activity, mesial temporal lobe epilepsy
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:kth:diva-261331DOI: 10.1523/ENEURO.0299-18.2019ISI: 000486604800014PubMedID: 31420348Scopus ID: 2-s2.0-85071788877OAI: oai:DiVA.org:kth-261331DiVA, id: diva2:1358249
Note

QC 20191007

Available from: 2019-10-07 Created: 2019-10-07 Last updated: 2019-10-07Bibliographically approved

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Kumar, Arvind

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