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A meta-analysis of the effect of protein synthesis inhibitors on rodent fear conditioninguse asterix (*) to get italics
Clarissa F. D. Carneiro, Felippe E. Amorim, Olavo B. AmaralPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
2023
<p>Systematic reviews and meta-analyses have been increasingly recognized for their potential value in pre-clinical research, but their multiple applications have not been extensively explored in behavioral neuroscience. In this work, we studied protein synthesis inhibition, a classic intervention used to disrupt fear learning, reconsolidation, and extinction in rodents, to explore how meta-analyses can identify potential moderators of its effect. We initially performed separate meta-analyses for different injection sites (systemic, hippocampus, amygdala, and cerebral ventricles) and target sessions (training, reconsolidation and extinction) to evaluate the effect of the intervention in various scenarios. Heterogeneity was further investigated by uni- and multivariable meta-regression using models aggregating various sites, with article or research group as additional levels. We detected robust effects of protein synthesis inhibitors on training and reconsolidation, but not on extinction, possibly due to the lower number of studies on the latter. Our analyses identified some well-established moderators, such as injection timing for training interventions and reexposure duration for reactivation interventions. However, other factors proposed as boundary conditions for reconsolidation, such as training strength and memory age, were not associated with effect size across the literature. Additionally, our findings suggest some underexplored associations, such as a larger susceptibility of cued fear conditioning to reconsolidation when compared to the contextual version of the task. While our results point to the value of meta-analyses in consolidating findings from the literature, we believe that associations suggested by data synthesis should ideally be verified by well-powered, rigorous confirmatory experiments.</p>
https://www.biorxiv.org/content/10.1101/2022.10.11.509645v3.supplementary-materialYou should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://
https://www.biorxiv.org/content/10.1101/2022.10.11.509645v3.supplementary-materialYou should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://
You should fill this box only if you chose 'Codes have been used in this study'. URL must start with http:// or https://
Preclinical meta-analysis; heterogeneity; fear conditioning; protein synthesis
NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).
Behavioral/Cognitive Neuroscience
Mathew Lattal, Oregon Health & Science University, lattalm@ohsu.edu, Ravi Das, University College London, ravi.das@ucl.ac.uk, Kaitlyn Hair, The University of Edinburgh, kaitlyn.hair@ed.ac.uk, Cilene Lino de Oliveira, Universidade Federal de Santa Catarina, cilene.lino@ufsc.br No need for them to be recommenders of PCI Neuro. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct
e.g. John Doe [john@doe.com]
2023-04-03 16:20:41
Sara Garofalo