Long-term seizure dynamics is determined by the nature of seizures
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00306324" target="_blank" >RIV/68407700:21230/16:00306324 - isvavai.cz</a>
Výsledek na webu
<a href="http://aesnet.org" target="_blank" >http://aesnet.org</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Long-term seizure dynamics is determined by the nature of seizures
Popis výsledku v původním jazyce
Results: Long-term fluctuation in seizure incidence was observed in all animals and we identified one cluster in each animal. On average, cluster lasted 2.3 ± 0.2 days and contained 90 ± 15 seizures. All clusters were characterized by progressive increase of ISI. During the first part of cluster, only 4 ± 3 % of seizures were convulsive while during the second part, it was 46 ± 8 % (p<0.05). Power in motor cortex during seizures was 0.047 ± 0.002 during the first and 0.082 ± 0.003 mV2 during the second part of the cluster (p<0.05). IED rate in the motor cortex increased from 0.018 ± 0.003 Hz to 0.054 ± 0.011 Hz (p<0.05). In addition, analysis of 1 hour of signal from the second part of the cluster revealed the presence of independent IEDs in motor cortex. Conclusion: We have shown that during the course of a single cluster, the brain undergoes complex changes on local and global levels. They manifest by progressive increase of ISI which is paralleled by increase in behavioral severity of seizures and increased involvement of extrahippocampal structures, in our case of motor cortex, which was confirmed by increased signal power during seizures and IED rate. We hypothesize that the long-term seizure occurrence is governed by seizures themselves. The early seizures act as a positive feedback mechanism which increases the seizure severity and brain propensity to seize. In contrast, later convulsive seizures act as a negative feedback mechanism reducing the seizure occurrence and their cumulative effect promotes cluster termination.
Název v anglickém jazyce
Long-term seizure dynamics is determined by the nature of seizures
Popis výsledku anglicky
Results: Long-term fluctuation in seizure incidence was observed in all animals and we identified one cluster in each animal. On average, cluster lasted 2.3 ± 0.2 days and contained 90 ± 15 seizures. All clusters were characterized by progressive increase of ISI. During the first part of cluster, only 4 ± 3 % of seizures were convulsive while during the second part, it was 46 ± 8 % (p<0.05). Power in motor cortex during seizures was 0.047 ± 0.002 during the first and 0.082 ± 0.003 mV2 during the second part of the cluster (p<0.05). IED rate in the motor cortex increased from 0.018 ± 0.003 Hz to 0.054 ± 0.011 Hz (p<0.05). In addition, analysis of 1 hour of signal from the second part of the cluster revealed the presence of independent IEDs in motor cortex. Conclusion: We have shown that during the course of a single cluster, the brain undergoes complex changes on local and global levels. They manifest by progressive increase of ISI which is paralleled by increase in behavioral severity of seizures and increased involvement of extrahippocampal structures, in our case of motor cortex, which was confirmed by increased signal power during seizures and IED rate. We hypothesize that the long-term seizure occurrence is governed by seizures themselves. The early seizures act as a positive feedback mechanism which increases the seizure severity and brain propensity to seize. In contrast, later convulsive seizures act as a negative feedback mechanism reducing the seizure occurrence and their cumulative effect promotes cluster termination.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
FH - Neurologie, neurochirurgie, neurovědy
OECD FORD obor
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Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů