Seizure duration is associated with multiple timescales in interictal iEEG band power
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| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | Preprint |
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2025
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| author | Panagiotopoulou, Mariella Schroeder, Gabrielle M. Blickwedel, Jess Chowdhury, Fahmida A Diehl, Beate de Tisi, Jane Duncan, John S. Cronie, Alison Falconer, Jennifer Faulder, Ryan Leach, Veronica Livingstone, Shona Thomas, Rhys H. Taylor, Peter N. Wang, Yujiang |
| author_facet | Panagiotopoulou, Mariella Schroeder, Gabrielle M. Blickwedel, Jess Chowdhury, Fahmida A Diehl, Beate de Tisi, Jane Duncan, John S. Cronie, Alison Falconer, Jennifer Faulder, Ryan Leach, Veronica Livingstone, Shona Thomas, Rhys H. Taylor, Peter N. Wang, Yujiang |
| contents | Background Seizure severity can change from one seizure to the next within individual people with epilepsy. It is unclear if and how seizure severity is modulated over longer timescales. Characterising seizure severity variability over time could lead to tailored treatments. In this study, we test if continuously-recorded interictal intracranial EEG (iEEG) features encapsulate signatures of such modulations.
Methods We analysed 20 subjects with iEEG recordings of at least one day. We identified cycles on timescales of hours to days embedded in long-term iEEG band power and associated them with seizure severity, which we approximated using seizure duration. In order to quantify these associations, we created linear-circular statistical models of seizure duration that incorporated different band power cycles within each subject.
Findings In most subjects, seizure duration was weakly to moderately correlated with individual band power cycles. Combinations of multiple band power cycles significantly explained most of the variability in seizure duration. Specifically, we found 70% of the models had a higher than 60% adjusted $R^2$ across all subjects. From these models, around 80% were deemed to be above chance-level (p-value < 0.05) based on permutation tests. Models included cycles of ultradian, circadian and slower timescales in a subject-specific manner.
Interpretation These results suggest that seizure severity, as measured by seizure duration, may be modulated over timescales of minutes to days by subject-specific cycles in interictal iEEG signal properties. These cycles likely serve as markers of seizure modulating processes. Future work can investigate biological drivers of these detected fluctuations and may inform novel treatment strategies that minimise seizure severity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_17888 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Seizure duration is associated with multiple timescales in interictal iEEG band power Panagiotopoulou, Mariella Schroeder, Gabrielle M. Blickwedel, Jess Chowdhury, Fahmida A Diehl, Beate de Tisi, Jane Duncan, John S. Cronie, Alison Falconer, Jennifer Faulder, Ryan Leach, Veronica Livingstone, Shona Thomas, Rhys H. Taylor, Peter N. Wang, Yujiang Neurons and Cognition Background Seizure severity can change from one seizure to the next within individual people with epilepsy. It is unclear if and how seizure severity is modulated over longer timescales. Characterising seizure severity variability over time could lead to tailored treatments. In this study, we test if continuously-recorded interictal intracranial EEG (iEEG) features encapsulate signatures of such modulations. Methods We analysed 20 subjects with iEEG recordings of at least one day. We identified cycles on timescales of hours to days embedded in long-term iEEG band power and associated them with seizure severity, which we approximated using seizure duration. In order to quantify these associations, we created linear-circular statistical models of seizure duration that incorporated different band power cycles within each subject. Findings In most subjects, seizure duration was weakly to moderately correlated with individual band power cycles. Combinations of multiple band power cycles significantly explained most of the variability in seizure duration. Specifically, we found 70% of the models had a higher than 60% adjusted $R^2$ across all subjects. From these models, around 80% were deemed to be above chance-level (p-value < 0.05) based on permutation tests. Models included cycles of ultradian, circadian and slower timescales in a subject-specific manner. Interpretation These results suggest that seizure severity, as measured by seizure duration, may be modulated over timescales of minutes to days by subject-specific cycles in interictal iEEG signal properties. These cycles likely serve as markers of seizure modulating processes. Future work can investigate biological drivers of these detected fluctuations and may inform novel treatment strategies that minimise seizure severity. |
| title | Seizure duration is associated with multiple timescales in interictal iEEG band power |
| topic | Neurons and Cognition |
| url | https://arxiv.org/abs/2504.17888 |