Background Neurostimulation is one of the new therapeutic approaches in patients with drug-resistant epilepsy, and despite its high efficiency, its mechanism of action is still unclear. On the one hand, electrical stimulation in the human brain is immoral; on the other hand, the creation of the epilepsy model in laboratory animals affects the entire brain network. As a result, one of the ways to achieve the neurostimulation mechanism is to use epileptiform activity models In vitro. In vitro models, by accessing the local network from the whole brain, we can understand the mechanisms of action of neurostimulation. Methods A literature search using scientific databases including PubMed, Google Scholar, and Scopus, using "Neurostimulation" and "epileptiform activity" combined with "high-frequency stimulation", " low-frequency stimulation ", and "brain slices” as keywords were conducted, related concepts to the topic gathered and are used in this paper. Results Electrical stimulation causes neuronal depolarization and the release of GABAA, which inhibits neuronal firing. Also, electrical stimulation inhibits the nervous tissue downstream of the stimulation site by preventing the passage of nervous activity from the upstream to the downstream of the axon. Conclusion Neurostimulation techniques consisting of LFS and HFS have a potential role in treating epileptiform activity, with some studies having positive results. Further investigations with larger sample sizes and standardized outcome measures can be conducted to validate the results of previous studies.
High and Low-Frequency Stimulation Effect on Epileptiform Activity in Brain Slices
Marzieh Khodadadi,M. Zare,Zahra Ghasemi,F. Karimzadeh,F. Golab,N. Amini,Soraya Mehrabi,M. Joghataei,Nooshin Ahmadirad
Published 2023 in Medical Journal of The Islamic Republic of Iran
ABSTRACT
PUBLICATION RECORD
- Publication year
2023
- Venue
Medical Journal of The Islamic Republic of Iran
- Publication date
2023-03-20
- Fields of study
Medicine
- Identifiers
- External record
- Source metadata
Semantic Scholar, PubMed
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