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Spatiotemporal Brain Dynamics During Cyclic Seizures of Super‐Refractory Status Epilepticus.

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Title: Spatiotemporal Brain Dynamics During Cyclic Seizures of Super‐Refractory Status Epilepticus.
Authors: Ledos, Alexandre (AUTHOR), Martet, Gaspard (AUTHOR), Le Goïc, Maeva (AUTHOR), Demeret, Sophie (AUTHOR), Chavez, Mario (AUTHOR), Lambrecq, Virginie (AUTHOR)
Source: European Journal of Neurology. Nov2025, Vol. 32 Issue 11, p1-12. 12p.
Subjects: Seizures (Medicine), Status epilepticus, Large-scale brain networks, Electroencephalography, Synchronic order, Electrophysiology
Abstract: Background: Cyclic seizures (CS) are defined by the periodic recurrence of epileptic activity and may offer critical insights into the mechanisms of seizure termination. Previous studies have reported increased network synchronization during the final stages of seizures. The objective of this study was to investigate hypersynchronization at the termination of cyclic seizures and to characterize its spatial distribution. Material and Methods: To quantify brain synchronization, we calculated the imaginary coherence in a low‐frequency band (LF‐iCOH) at different ictal phases. Synchronization was calculated at both scalp regions and electrode levels. A total of 10 patients were selected, and 1230 seizures from 468 h of EEG monitoring were analyzed. Results: Eight patients exhibited a significant increase in LF‐iCOH at seizure termination in both regional and electrode‐level analyses, with varying topographies. Hypersynchronization at the end of seizures was predominantly observed in the anterior and centrotemporal regions compared to the posterior regions. Discussion: Terminal hypersynchronization was observed in all patients with focal to bilateral seizures and one patient with focal seizures, and was not observed in patients with localized focal seizures. The diverse topographies of terminal hypersynchronization observed suggest that this process is not related to any specific scalp area or seizure onset zone. These results suggest a common mechanism of seizure termination in the continuum of single seizures to the most severe form of SE. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Spatiotemporal Brain Dynamics During Cyclic Seizures of Super‐Refractory Status Epilepticus.
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  Data: <searchLink fieldCode="AR" term="%22Ledos%2C+Alexandre%22">Ledos, Alexandre</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martet%2C+Gaspard%22">Martet, Gaspard</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Le+Goïc%2C+Maeva%22">Le Goïc, Maeva</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Demeret%2C+Sophie%22">Demeret, Sophie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chavez%2C+Mario%22">Chavez, Mario</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lambrecq%2C+Virginie%22">Lambrecq, Virginie</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neurology%22">European Journal of Neurology</searchLink>. Nov2025, Vol. 32 Issue 11, p1-12. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Seizures+%28Medicine%29%22">Seizures (Medicine)</searchLink><br /><searchLink fieldCode="DE" term="%22Status+epilepticus%22">Status epilepticus</searchLink><br /><searchLink fieldCode="DE" term="%22Large-scale+brain+networks%22">Large-scale brain networks</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink><br /><searchLink fieldCode="DE" term="%22Synchronic+order%22">Synchronic order</searchLink><br /><searchLink fieldCode="DE" term="%22Electrophysiology%22">Electrophysiology</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Cyclic seizures (CS) are defined by the periodic recurrence of epileptic activity and may offer critical insights into the mechanisms of seizure termination. Previous studies have reported increased network synchronization during the final stages of seizures. The objective of this study was to investigate hypersynchronization at the termination of cyclic seizures and to characterize its spatial distribution. Material and Methods: To quantify brain synchronization, we calculated the imaginary coherence in a low‐frequency band (LF‐iCOH) at different ictal phases. Synchronization was calculated at both scalp regions and electrode levels. A total of 10 patients were selected, and 1230 seizures from 468 h of EEG monitoring were analyzed. Results: Eight patients exhibited a significant increase in LF‐iCOH at seizure termination in both regional and electrode‐level analyses, with varying topographies. Hypersynchronization at the end of seizures was predominantly observed in the anterior and centrotemporal regions compared to the posterior regions. Discussion: Terminal hypersynchronization was observed in all patients with focal to bilateral seizures and one patient with focal seizures, and was not observed in patients with localized focal seizures. The diverse topographies of terminal hypersynchronization observed suggest that this process is not related to any specific scalp area or seizure onset zone. These results suggest a common mechanism of seizure termination in the continuum of single seizures to the most severe form of SE. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of European Journal of Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – TitleFull: Spatiotemporal Brain Dynamics During Cyclic Seizures of Super‐Refractory Status Epilepticus.
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              M: 11
              Text: Nov2025
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