Literature DB >> 24632384

Reproducibility and relevance of future behavioral sciences should benefit from a cross fertilization of past recommendations and today's technology: "Back to the future".

Berry M Spruijt1, Suzanne M Peters2, Raymond C de Heer2, Helen H J Pothuizen3, Johanneke E van der Harst2.   

Abstract

Thanks to the discovery of novel technologies and sophisticated analysis tools we can now 'see' molecules, genes and even patterns of gene expression, which have resulted in major advances in many areas of biology. Recently, similar technologies have been developed for behavioral studies. However, the wide implementation of such technological progress in behavioral research remains behind, as if there are inhibiting factors for accepting and adopting available innovations. The methods of the majority of studies measuring and interpreting behavior of laboratory animals seem to have frozen in time somewhere in the last century. As an example of the so-called classical tests, we will present the history and shortcomings of one of the most frequently used tests, the open field. Similar objections and critical remarks, however, can be made with regard to the elevated plus maze, light-dark box, various other mazes, object recognition tests, etc. Possible solutions and recommendations on how progress in behavioral neuroscience can be achieved and accelerated will be discussed in the second part of this review.
Copyright © 2014 Elsevier B.V. All rights reserved.

Keywords:  Animal behavior; Automation; Ethology; Home-cage testing; Open field; Validity

Mesh:

Year:  2014        PMID: 24632384     DOI: 10.1016/j.jneumeth.2014.03.001

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  20 in total

Review 1.  High-throughput mouse phenomics for characterizing mammalian gene function.

Authors:  Steve D M Brown; Chris C Holmes; Ann-Marie Mallon; Terrence F Meehan; Damian Smedley; Sara Wells
Journal:  Nat Rev Genet       Date:  2018-06       Impact factor: 53.242

2.  Female fecundity variation affects reproducibility of experiments on host plant preference and acceptance in a phytophagous insect.

Authors:  Alexander Schäpers; Hampus Petrén; Christopher W Wheat; Christer Wiklund; Magne Friberg
Journal:  Proc Biol Sci       Date:  2017-02-22       Impact factor: 5.349

3.  Bisphenol S (BPS) Alters Maternal Behavior and Brain in Mice Exposed During Pregnancy/Lactation and Their Daughters.

Authors:  Mary C Catanese; Laura N Vandenberg
Journal:  Endocrinology       Date:  2017-03-01       Impact factor: 4.736

4.  Assessment of incising ethology in the absence and presence of jaw muscle hyperalgesia in a mouse home cage environment.

Authors:  C G Widmer; J Morris-Wiman
Journal:  Physiol Behav       Date:  2015-06-12

Review 5.  Blueprints for measuring natural behavior.

Authors:  Alicja Puścian; Ewelina Knapska
Journal:  iScience       Date:  2022-06-18

6.  Bridging the species gap in translational research for neurodevelopmental disorders.

Authors:  A M Ryan; R F Berman; M D Bauman
Journal:  Neurobiol Learn Mem       Date:  2018-10-19       Impact factor: 2.877

7.  Sheltering behavior and locomotor activity in 11 genetically diverse common inbred mouse strains using home-cage monitoring.

Authors:  Maarten Loos; Bastijn Koopmans; Emmeke Aarts; Gregoire Maroteaux; Sophie van der Sluis; Matthijs Verhage; August B Smit
Journal:  PLoS One       Date:  2014-09-29       Impact factor: 3.240

8.  Display of individuality in avoidance behavior and risk assessment of inbred mice.

Authors:  Torben Hager; René F Jansen; Anton W Pieneman; Suriya N Manivannan; Ilan Golani; Sophie van der Sluis; August B Smit; Matthijs Verhage; Oliver Stiedl
Journal:  Front Behav Neurosci       Date:  2014-09-16       Impact factor: 3.558

Review 9.  The Snark was a Boojum - reloaded.

Authors:  Simone Macrì; S Helene Richter
Journal:  Front Zool       Date:  2015-08-24       Impact factor: 3.172

10.  Behavioral Phenotyping of Juvenile Long-Evans and Sprague-Dawley Rats: Implications for Preclinical Models of Autism Spectrum Disorders.

Authors:  Katherine M Ku; Ruth K Weir; Jill L Silverman; Robert F Berman; Melissa D Bauman
Journal:  PLoS One       Date:  2016-06-28       Impact factor: 3.240

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