A spike is a spike: On the universality of spike features in four epilepsy models
Publication year
2024Number of pages
13 p.
Source
Epilepsia Open, (2024)ISSN
Annotation
09 oktober 2024
Publication type
Article / Letter to editor
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Organization
SW OZ DCC SMN
Journal title
Epilepsia Open
Languages used
English (eng)
Subject
Action, intention, and motor controlAbstract
Objective: Frequency properties of the EEG characteristics of different seizure types including absence seizures have been described for various rodent models of epilepsy. However, little attention has been paid to the frequency properties of individual spike–wave complexes (SWCs), the constituting elements characterizing the different generalized seizure types. Knowledge of their properties is not only important for understanding the mechanisms underlying seizure generation but also for the identification of epileptiform activity in various seizure types. Here, we compared the frequency properties of SWCs in different epilepsy models. Methods: A software package was designed and used for the extraction and frequency analysis of SWCs from long-term EEG of four spontaneously seizing, chronic epilepsy models: a post-status epilepticus model of temporal lobe epilepsy, a lateral fluid percussion injury model of post-traumatic epilepsy, and two genetic models of absence epilepsy - GAERS and rats of the WAG/Rij strain. The SWCs within the generalized seizures were separated into fast (three-phasic spike) and slow (mostly containing the wave) components. Eight animals from each model were used (32 recordings, 104 510 SWCs in total). A limitation of our study is that the recordings were hardware-filtered (high-pass), which could affect the frequency composition of the EEG. Results: We found that the three-phasic spike component was similar in all animal models both in time and frequency domains, their amplitude spectra showed a single expressed peak at 18–20 Hz. The slow component showed a much larger variability across the rat models. Significance: Despite differences in the morphology of the epileptiform activity in different models, the frequency composition of the spike component of single SWCs is identical and does not depend on the particular epilepsy model. This fact may be used for the development of universal algorithms for seizure detection applicable to different rat models of epilepsy.
This item appears in the following Collection(s)
- Academic publications [245262]
- Electronic publications [132642]
- Faculty of Social Sciences [30344]
- Open Access publications [106238]
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