Experts provide insight into high-throughput cognition testing of individual rodents within their social environment

On November 5, 2014, InsideScientific hosted a webinar sponsored by TSE Systems discussing the challenge of behavioral phenotyping individual rodents within a social home cage environment. Speakers David P. Wolfer, Ewelina Knapska, and Holger Russig discussed the use of IntelliCage, a home-cage system able to conduct automated, high-throughput behavioral and cognitive testing. Automation technology minimizes the need for human intervention, reducing workload to the researcher while improving data reproducibility and animal welfare.

Several research applications are discussed, including profiling mice with hippocampal lesions based on spontaneous behaviors and spatial learning, characterizing appetitively and aversively motivated learning in MMP-9 knockout mice, and assessing cognitive rigidity in a valproic acid-induced mouse model of autism.

Follow the links below to access key educational points of the webinar…

Dr. Holger Russig

  • 03:44  Challenges in behavioral and cognitive testing in mice
  • 05:46  Key IntelliCage features
  • 09:25  The three components of IntelliCage software: the Designer, Controller, and Analyzer
  • 11:29  Benefits of the Intellicage
  • 16:39  Dr. Holger Russig summary

Dr. Ewelina Knapska

  • 39:46  Comparing classical behavioral tests to IntelliCage, and appetitively and aversively motivated learning in well-balanced conditions
  • 46:03  Involvement of MMP-9 in appetitively and aversively motivated learning
  • 52:15  Mouse models of autism and the assessment of cognitive rigidity
  • 58:40  Dr. Ewelina Knapska summary

Dr. David P Wolfer

  • 18:02  The 3 stages of mouse adaptation to the IntelliCage
  • 18:50  Parameters measured during adaptation stages to characterize spontaneous behavior
  • 21:37  Comparison of spontaneous behavior profiles in different strains
  • 23:36  Effect of hippocampal lesions on spontaneous behavior profile and learning
  • 28:07  Example battery of hippocampus-dependent spatial learning tasks
  • 33:21  Tests to address motor impulsivity and reaction time
  • 37:04  David P. Wolfer summary

Q&A

  • 60:04  Considering challenges relating to fighting and hierarchy, such as a dominant male controlling a limited resource such as sucrose, how is it possible to generate independent data in the IntelliCage?
  • 62:33  How well do 129 mice learn in the IntelliCage?
  • 63:38  Can the IntelliCage be used for rats?
  • 64:42  With regards to the data you shared, can you comment on mice learning by observation?
  • 68:43  How are shams measured together with different cohorts of mice, whether it’s in the same cage or in different cages?

SPEAKERS:

REFERENCES & CITATIONS:

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  2. Lipp HP, Litvin O, Galsworthy M, et al. Automated behavioral analysis of mice using INTELLICAGE: Inter-laboratory comparisons and validation with exploratory behavior and spatial learning. Proceedings for Measuring Behavior. 2005.
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  9. Knapska E, Lioudyno V, Kiryk A, et al.Reward learning requires activity of matrix metalloproteinase-9 in the central amygdala. Journal of Neuroscience. 2013;33(36):14591–14600.
  10. DSM-V, American Psychiatric Association, 2013
  11. Puscian A, Leski S, Gorkiewicz T, et al.A novel automated behavioral test battery assessing cognitive rigidity in two genetic mouse models of autism. Frontiers in Behavioral Neuroscience. 2014;8:140.

Author:

Liam Sanio

Account Manager, InsideScientific
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