AIMC Topic: Convulsants
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Development and applications of a machine learning model for an in-depth analysis of pentylenetetrazol-induced seizure-like behaviors in adult zebrafish.
Neuroscience
Jan 27, 2025
Epilepsy, a neurological disorder causing recurring seizures, is often studied in zebrafish by exposing animals to pentylenetetrazol (PTZ), which induces clonic- and tonic-like behaviors. While adult zebrafish seizure-like behaviors are well characte...
High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology.
Nature communications
Dec 3, 2018
Technologies for mapping the spatial and temporal patterns of neural activity have advanced our understanding of brain function in both health and disease. An important application of these technologies is the discovery of next-generation neurotherap...
Novel predictive approaches for drug-induced convulsions in non-human primates using machine learning and heart rate variability analysis.
The Journal of toxicological sciences
Jan 1, 2024
Drug-induced convulsions are a major challenge to drug development because of the lack of reliable biomarkers. Using machine learning, our previous research indicated the potential use of an index derived from heart rate variability (HRV) analysis in...
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