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https://doi.org/10.1523/eneuro.0079-21.2021
Title: | Characterization of seizure induction methods in drosophila | Authors: | Mituzaite, J. Petersen, R. Claridge-Chang, A. Baines, R.A. |
Keywords: | Antiepileptic Drosophila Epilepsy Insect Model Seizure induction |
Issue Date: | 1-Jul-2021 | Publisher: | Society for Neuroscience | Citation: | Mituzaite, J., Petersen, R., Claridge-Chang, A., Baines, R.A. (2021-07-01). Characterization of seizure induction methods in drosophila. eNeuro 8 (4) : ENEURO.0079-21.2021. ScholarBank@NUS Repository. https://doi.org/10.1523/eneuro.0079-21.2021 | Rights: | Attribution 4.0 International | Abstract: | Epilepsy is one of the most common neurologic disorders. Around one third of patients do not respond to current medications. This lack of treatment indicates a need for better understanding of the underlying mechanisms and, importantly, the identification of novel targets for drug manipulation. The fruit fly Drosophila melanogaster has a fast reproduction time, powerful genetics, and facilitates large sample sizes, making it a strong model of seizure mechanisms. To better understand behavioral and physiological phenotypes across major fly seizure genotypes we systematically measured seizure severity and secondary behavioral pheno-types at both the larval and adult stage. Comparison of several seizure-induction methods; specifically electri-cal, mechanical and heat induction, show that larval electroshock is the most effective at inducing seizures across a wide range of seizure-prone mutants tested. Locomotion in adults and larvae was found to be non-predictive of seizure susceptibility. Recording activity in identified larval motor neurons revealed variations in action potential (AP) patterns, across different genotypes, but these patterns did not correlate with seizure susceptibility. To conclude, while there is wide variation in mechanical induction, heat induction, and secondary phenotypes, electroshock is the most consistent method of seizure induction across known major seizure genotypes in Drosophila. © 2021 Mituzaite et al. | Source Title: | eNeuro | URI: | https://scholarbank.nus.edu.sg/handle/10635/232535 | ISSN: | 2373-2822 | DOI: | 10.1523/eneuro.0079-21.2021 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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