ArticleScientific reports2018
Nonlinear mixed-modelling discriminates the effect of chemicals and their mixtures on zebrafish behavior.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Refining methodological approaches for analysing higher-throughput locomotor behaviour, using generalized additive mixed models.Frontiers in toxicology · 2026Article
- A data analysis approach for locomotor behavioral responses in developmentally exposed zebrafish.NAM journal · 2025Article
- Determining bad actors: A linear mixed effects model approach to elucidate behavioral toxicity of metal mixtures in drinking water.Ecotoxicology and environmental safety · 2024Article
- Key HPI axis receptors facilitate light adaptive behavior in larval zebrafish.Scientific reports · 2024Article
- Zebrafish Is a Powerful Tool for Precision Medicine Approaches to Neurological Disorders.Frontiers in molecular neuroscience · 2022Review
- Vape flavourants dull sensory perception and cause hyperactivity in developing zebrafish embryos.Biology letters · 2020Article
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Authors and funding
2 authors.
Funding
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Abstract
Zebrafish (Danio rerio) early-life stage behavior has the potential for high-throughput screening of neurotoxic environmental contaminants. However, zebrafish embryo and larval behavioral assessments typically utilize linear analyses of mean activity that may not capture the complexity of the behavioral response. Here we tested the hypothesis that nonlinear mixed-modelling of zebrafish embryo and larval behavior provides a better assessment of the impact of chemicals and their mixtures. We demonstrate that zebrafish embryo photomotor responses (PMRs) and larval light/dark locomotor activities can be fit by asymmetric Lorentzian and Ricker-beta functions, respectively, which estimate the magnitude of activity (e.g., maximum and total activities) and temporal aspects (e.g., duration of the responses and its excitatory periods) characterizing early life-stage zebrafish behavior. We exposed zebrafish embryos and larvae to neuroactive chemicals, including isoproterenol, serotonin, and ethanol, as well as their mixtures, to assess the feasibility of using the nonlinear mixed-modelling to assess behavioral modulation. Exposure to chemicals led to distinct effects on specific behavioral characteristics, and interactive effects on temporal characteristics of the behavioral response that were overlooked by the linear analyses of mean activity. Overall, nonlinear mixed-modelling is a more comprehensive approach for screening the impact of chemicals and chemical mixtures on zebrafish behavior.
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