| Title: |
Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy |
| Authors: |
Zarei Eskikand, P; Cook, MJ; Burkitt, AN; Grayden, DB |
| Publisher Information: |
Nature Portfolio |
| Publication Year: |
2025 |
| Collection: |
The University of Melbourne: Digital Repository |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| ISSN: |
2045-2322 |
| Relation: |
https://hdl.handle.net/11343/359839 |
| Availability: |
https://hdl.handle.net/11343/359839 |
| Rights: |
https://creativecommons.org/licenses/by-nc-nd/4.0 ; CC BY-NC-ND |
| Accession Number: |
edsbas.4C36AEC9 |
| Database: |
BASE |