Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy
Abstract Epilepsy is characterized by recurrent, unpredictable seizures that impose significant challenges in daily management and treatment. One emerging area of interest is the identification of seizure cycles, including multiday patterns, which may offer insights into seizure prediction and treat...
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| Format: | Article |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-87929-1 |
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| author | Parvin Zarei Eskikand Mark J. Cook Anthony N. Burkitt David B. Grayden |
| author_facet | Parvin Zarei Eskikand Mark J. Cook Anthony N. Burkitt David B. Grayden |
| author_sort | Parvin Zarei Eskikand |
| collection | DOAJ |
| description | Abstract Epilepsy is characterized by recurrent, unpredictable seizures that impose significant challenges in daily management and treatment. One emerging area of interest is the identification of seizure cycles, including multiday patterns, which may offer insights into seizure prediction and treatment optimization. This study investigated multiday seizure cycles in a Tetanus Toxin (TT) rat model of epilepsy. Six TT-injected rats were observed over a 40-day period, with continuous EEG monitoring to record seizure events. Wavelet transform analysis revealed significant multiday cycles in seizure occurrences, with periods ranging from 4 to 7 days across different rats. Synchronization Index (SI) analysis demonstrated variable phase locking, with some rats showing strong synchronization of seizures with specific phases of the cycle. Importantly, the study revealed that these seizure cycles are dynamic and evolve over time, with some rats exhibiting shifts in cycle periods during the recording period. This suggests that the underlying neural mechanisms driving these cycles may change as the epileptic state progresses. The identification of stable and evolving multiday rhythms in seizure activity, independent of external factors, highlights a potential intrinsic biological basis for seizure timing. These findings offer promising avenues for improving seizure forecasting and designing personalized, timing-based therapeutic interventions in epilepsy. Future research should explore the underlying neural mechanisms and clinical applications of multiday seizure cycles. |
| format | Article |
| id | doaj-art-53041880940748358a3720107656425e |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-53041880940748358a3720107656425e2025-02-09T12:33:56ZengNature PortfolioScientific Reports2045-23222025-02-0115111210.1038/s41598-025-87929-1Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsyParvin Zarei Eskikand0Mark J. Cook1Anthony N. Burkitt2David B. Grayden3Department of Biomedical Engineering, The University of MelbourneDepartment of Biomedical Engineering, The University of MelbourneDepartment of Biomedical Engineering, The University of MelbourneDepartment of Biomedical Engineering, The University of MelbourneAbstract Epilepsy is characterized by recurrent, unpredictable seizures that impose significant challenges in daily management and treatment. One emerging area of interest is the identification of seizure cycles, including multiday patterns, which may offer insights into seizure prediction and treatment optimization. This study investigated multiday seizure cycles in a Tetanus Toxin (TT) rat model of epilepsy. Six TT-injected rats were observed over a 40-day period, with continuous EEG monitoring to record seizure events. Wavelet transform analysis revealed significant multiday cycles in seizure occurrences, with periods ranging from 4 to 7 days across different rats. Synchronization Index (SI) analysis demonstrated variable phase locking, with some rats showing strong synchronization of seizures with specific phases of the cycle. Importantly, the study revealed that these seizure cycles are dynamic and evolve over time, with some rats exhibiting shifts in cycle periods during the recording period. This suggests that the underlying neural mechanisms driving these cycles may change as the epileptic state progresses. The identification of stable and evolving multiday rhythms in seizure activity, independent of external factors, highlights a potential intrinsic biological basis for seizure timing. These findings offer promising avenues for improving seizure forecasting and designing personalized, timing-based therapeutic interventions in epilepsy. Future research should explore the underlying neural mechanisms and clinical applications of multiday seizure cycles.https://doi.org/10.1038/s41598-025-87929-1 |
| spellingShingle | Parvin Zarei Eskikand Mark J. Cook Anthony N. Burkitt David B. Grayden Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy Scientific Reports |
| title | Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy |
| title_full | Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy |
| title_fullStr | Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy |
| title_full_unstemmed | Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy |
| title_short | Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy |
| title_sort | dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy |
| url | https://doi.org/10.1038/s41598-025-87929-1 |
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