Seizure clustering in tetanus toxin model of epilepsy
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00333020" target="_blank" >RIV/68407700:21230/19:00333020 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.exeter.ac.uk/media/universityofexeter/livingsystems/images/Abstract_Book.pdf" target="_blank" >http://www.exeter.ac.uk/media/universityofexeter/livingsystems/images/Abstract_Book.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Seizure clustering in tetanus toxin model of epilepsy
Popis výsledku v původním jazyce
Introduction: The long-term fluctuations in seizure probability and seizure clustering were multiple times reported in both patients and animal models of epilepsy including the tetanus toxin model in rats. The aim of this study was to explore the mechanisms which govern cluster progression and cluster onset. Results: We analyzed one seizure cluster in each animal. Clusters lasted 2.3±0.2 days and contained 90±15 seizures. All clusters were characterized by progressive increase of ISI. The percentage of convulsive seizures progressively increased in all clusters (p=0.008) and so did the signal power in the motor cortices (p=0.008) whereas in the hippocampi a non-significant decrease of power was observed (p=0.74). Between the clusters, we observed increasing rate, power and spread of epileptic bursts whereas the duration produced a U-shape. Conclusion: We have shown that during and between the clusters, the brain undergoes complex changes. We hypothesize that early non-convulsive seizures facilitate spreading of later seizures. In contrast, later generalized seizures have inhibitory effect which leads to reduction of seizure rate and finally to the cluster termination. Between the clusters, changes of the epileptic burst can be interpreted as increase of excitability and delayed recovery from internal perturbations which may serve as an early warning signal of impending transition to the next seizure cluster.
Název v anglickém jazyce
Seizure clustering in tetanus toxin model of epilepsy
Popis výsledku anglicky
Introduction: The long-term fluctuations in seizure probability and seizure clustering were multiple times reported in both patients and animal models of epilepsy including the tetanus toxin model in rats. The aim of this study was to explore the mechanisms which govern cluster progression and cluster onset. Results: We analyzed one seizure cluster in each animal. Clusters lasted 2.3±0.2 days and contained 90±15 seizures. All clusters were characterized by progressive increase of ISI. The percentage of convulsive seizures progressively increased in all clusters (p=0.008) and so did the signal power in the motor cortices (p=0.008) whereas in the hippocampi a non-significant decrease of power was observed (p=0.74). Between the clusters, we observed increasing rate, power and spread of epileptic bursts whereas the duration produced a U-shape. Conclusion: We have shown that during and between the clusters, the brain undergoes complex changes. We hypothesize that early non-convulsive seizures facilitate spreading of later seizures. In contrast, later generalized seizures have inhibitory effect which leads to reduction of seizure rate and finally to the cluster termination. Between the clusters, changes of the epileptic burst can be interpreted as increase of excitability and delayed recovery from internal perturbations which may serve as an early warning signal of impending transition to the next seizure cluster.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
30103 - Neurosciences (including psychophysiology)
Návaznosti výsledku
Projekt
<a href="/cs/project/NV17-28427A" target="_blank" >NV17-28427A: Význam funkční a strukturální reorganizace mozkových sítí v patogenezi kognitivního deficitu a epilepsie po cévní mozkové příhodě.</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů