Literature DB >> 21840343

Towards high-throughput phenotyping of complex patterned behaviors in rodents: focus on mouse self-grooming and its sequencing.

Evan Kyzar1, Siddharth Gaikwad, Andrew Roth, Jeremy Green, Mimi Pham, Adam Stewart, Yiqing Liang, Vikrant Kobla, Allan V Kalueff.   

Abstract

Increasingly recognized in biological psychiatry, rodent self-grooming is a complex patterned behavior with evolutionarily conserved cephalo-caudal progression. While grooming is traditionally assessed by the latency, frequency and duration, its sequencing represents another important domain sensitive to various experimental manipulations. Such behavioral complexity requires novel objective approaches to quantify rodent grooming, in addition to time-consuming and highly variable manual observation. The present study combined modern behavior-recognition video-tracking technologies (CleverSys, Inc.) with manual observation to characterize in-depth spontaneous (novelty-induced) and artificial (water-induced) self-grooming in adult male C57BL/6J mice. We specifically focused on individual episodes of grooming (paw licking, head washing, body/leg washing, and tail/genital grooming), their duration and transitions between episodes. Overall, the frequency, duration and transitions detected using the automated approach significantly correlated with manual observations (R=0.51-0.7, p<0.001-0.05). This data validates the software-based detection of grooming, also indicating that behavior-recognition tools can be applied to characterize both the amount and sequential organization (patterning) of rodent grooming. Together with further refinement and methodological advancement, this approach will foster high-throughput neurophenotyping of grooming, with multiple applications in drug screening and testing of genetically modified animals.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21840343     DOI: 10.1016/j.bbr.2011.07.052

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  9 in total

1.  Validation and implementation of a novel high-throughput behavioral phenotyping instrument for mice.

Authors:  Jesse Brodkin; Dana Frank; Ryan Grippo; Michal Hausfater; Maria Gulinello; Nils Achterholt; Christian Gutzen
Journal:  J Neurosci Methods       Date:  2013-12-31       Impact factor: 2.390

2.  Targeted ablation of cholinergic interneurons in the dorsolateral striatum produces behavioral manifestations of Tourette syndrome.

Authors:  Meiyu Xu; Andrew Kobets; Jung-Chieh Du; Jessica Lennington; Lina Li; Mounira Banasr; Ronald S Duman; Flora M Vaccarino; Ralph J DiLeone; Christopher Pittenger
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-05       Impact factor: 11.205

3.  Potential translational targets revealed by linking mouse grooming behavioral phenotypes to gene expression using public databases.

Authors:  Andrew Roth; Evan J Kyzar; Jonathan Cachat; Adam Michael Stewart; Jeremy Green; Siddharth Gaikwad; Timothy P O'Leary; Boris Tabakoff; Richard E Brown; Allan V Kalueff
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2012-10-31       Impact factor: 5.067

4.  P2X7 Receptors Drive Poly(I:C) Induced Autism-like Behavior in Mice.

Authors:  Gergely Horváth; Lilla Otrokocsi; Katinka Beko; Mária Baranyi; Ágnes Kittel; Pablo Antonio Fritz-Ruenes; Beáta Sperlágh
Journal:  J Neurosci       Date:  2019-01-25       Impact factor: 6.167

Review 5.  Neurobiology of rodent self-grooming and its value for translational neuroscience.

Authors:  Allan V Kalueff; Adam Michael Stewart; Cai Song; Kent C Berridge; Ann M Graybiel; John C Fentress
Journal:  Nat Rev Neurosci       Date:  2015-12-17       Impact factor: 34.870

6.  High-throughput screening of stem cell therapy for globoid cell leukodystrophy using automated neurophenotyping of twitcher mice.

Authors:  Brittni A Scruggs; Annie C Bowles; Xiujuan Zhang; Julie A Semon; Evan J Kyzar; Leann Myers; Allan V Kalueff; Bruce A Bunnell
Journal:  Behav Brain Res       Date:  2012-08-20       Impact factor: 3.332

7.  Diurnal effects of polypharmacy with high drug burden index on physical activities over 23 h differ with age and sex.

Authors:  Trang Tran; John Mach; Gizem Gemikonakli; Harry Wu; Heather Allore; Susan E Howlett; Christopher B Little; Sarah N Hilmer
Journal:  Sci Rep       Date:  2022-02-09       Impact factor: 4.379

8.  Action detection using a neural network elucidates the genetics of mouse grooming behavior.

Authors:  Brian Q Geuther; Asaf Peer; Hao He; Gautam Sabnis; Vivek M Philip; Vivek Kumar
Journal:  Elife       Date:  2021-03-17       Impact factor: 8.140

9.  Automatic visual tracking and social behaviour analysis with multiple mice.

Authors:  Luca Giancardo; Diego Sona; Huiping Huang; Sara Sannino; Francesca Managò; Diego Scheggia; Francesco Papaleo; Vittorio Murino
Journal:  PLoS One       Date:  2013-09-16       Impact factor: 3.240

  9 in total

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