45
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Constitutive depletion of brain serotonin differentially affects rats’ social and cognitive abilities

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Summary

          Central serotonin appears a promising transdiagnostic marker of psychiatric disorders and a modulator of some of their key behavioral symptoms. In adult male Tph2 −/− rats, constitutively lacking central serotonin, we tested individual’s cognitive, social and non-social abilities and characterized group’s social organization under classical and ethological testing conditions. Using unsupervised machine learning, we identified the functions most dependent on serotonin. Although serotonin depletion did not affect cognitive performances in classical testing, in the home-cage it induced compulsive aggression and sexual behavior, hyperactive and hypervigilant stereotyped behavior, reduced self-care and exacerbated corticosterone levels. This profile recalled symptoms of impulse control and anxiety disorders. Serotonin appeared essential for behavioral adaptation to dynamic social environments. Our animal model challenges the essential role of serotonin in decision-making, flexibility, impulsivity, and risk-taking. These findings highlight the importance of studying everyday life functions within the dynamic social living environment to model complexity in animal models.

          Graphical abstract

          Highlights

          • Brain serotonin depletion did not impact cognitive abilities in classical procedures

          • Brain serotonin depletion compromised everyday behaviors in naturalistic home-cage

          • Most critical behaviors resembled symptoms of impulse control and anxiety disorders

          • Multidimensional testing and naturalistic conditions offered high translational value

          Abstract

          Biological sciences; Neuroscience; Behavioral neuroscience

          Related collections

          Most cited references147

          • Record: found
          • Abstract: found
          • Article: not found

          Simultaneous inference in general parametric models.

          Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level. Simultaneous inference procedures have to be used which adjust for multiplicity and thus control the overall type I error rate. In this paper we describe simultaneous inference procedures in general parametric models, where the experimental questions are specified through a linear combination of elemental model parameters. The framework described here is quite general and extends the canonical theory of multiple comparison procedures in ANOVA models to linear regression problems, generalized linear models, linear mixed effects models, the Cox model, robust linear models, etc. Several examples using a variety of different statistical models illustrate the breadth of the results. For the analyses we use the R add-on package multcomp, which provides a convenient interface to the general approach adopted here. Copyright 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0

            Improving the reproducibility of biomedical research is a major challenge. Transparent and accurate reporting is vital to this process; it allows readers to assess the reliability of the findings and repeat or build upon the work of other researchers. The ARRIVE guidelines (Animal Research: Reporting In Vivo Experiments) were developed in 2010 to help authors and journals identify the minimum information necessary to report in publications describing in vivo experiments. Despite widespread endorsement by the scientific community, the impact of ARRIVE on the transparency of reporting in animal research publications has been limited. We have revised the ARRIVE guidelines to update them and facilitate their use in practice. The revised guidelines are published alongside this paper. This explanation and elaboration document was developed as part of the revision. It provides further information about each of the 21 items in ARRIVE 2.0, including the rationale and supporting evidence for their inclusion in the guidelines, elaboration of details to report, and examples of good reporting from the published literature. This document also covers advice and best practice in the design and conduct of animal studies to support researchers in improving standards from the start of the experimental design process through to publication.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              MCMC Methods for Multi-Response Generalized Linear Mixed Models: TheMCMCglmmRPackage

                Bookmark

                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                18 January 2023
                17 February 2023
                18 January 2023
                : 26
                : 2
                : 105998
                Affiliations
                [1 ]Humboldt-Universität zu Berlin, Berlin, Germany
                [2 ]Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
                [3 ]Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
                Author notes
                []Corresponding author alenina@ 123456mdc-berlin.de
                [∗∗ ]Corresponding author marion.rivalan@ 123456gmail.com
                [4]

                Lead contact

                Article
                S2589-0042(23)00075-5 105998
                10.1016/j.isci.2023.105998
                9926123
                36798444
                8130c8f8-9dcc-4217-a932-0800e3aef416
                © 2023 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 6 December 2021
                : 30 September 2022
                : 12 January 2023
                Categories
                Article

                biological sciences,neuroscience,behavioral neuroscience

                Comments

                Comment on this article