Literature DB >> 16530272

A computer vision-based automated Figure-8 maze for working memory test in rodents.

Samuel F Pedigo1, Eun Young Song, Min Whan Jung, Jeansok J Kim.   

Abstract

The benchmark test for prefrontal cortex (PFC)-mediated working memory in rodents is a delayed alternation task utilizing variations of T-maze or Figure-8 maze, which requires the animals to make specific arm entry responses for reward. In this task, however, manual procedures involved in shaping target behavior, imposing delays between trials and delivering rewards can potentially influence the animal's performance on the maze. Here, we report an automated Figure-8 maze which does not necessitate experimenter-subject interaction during shaping, training or testing. This system incorporates a computer vision system for tracking, motorized gates to impose delays, and automated reward delivery. The maze is controlled by custom software that records the animal's location and activates the gates according to the animal's behavior and a control algorithm. The program performs calculations of task accuracy, tracks movement sequence through the maze, and provides other dependent variables (such as running speed, time spent in different maze locations, activity level during delay). Testing in rats indicates that the performance accuracy is inversely proportional to the delay interval, decreases with PFC lesions, and that animals anticipate timing during long delays. Thus, our automated Figure-8 maze is effective at assessing working memory and provides novel behavioral measures in rodents.

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Year:  2006        PMID: 16530272     DOI: 10.1016/j.jneumeth.2006.01.029

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


  5 in total

1.  Stress impairs optimal behavior in a water foraging choice task in rats.

Authors:  Lauren K Graham; Taejib Yoon; Jeansok J Kim
Journal:  Learn Mem       Date:  2009-12-22       Impact factor: 2.460

2.  Prefrontal cortex and hippocampus subserve different components of working memory in rats.

Authors:  Taejib Yoon; Jeffrey Okada; Min W Jung; Jeansok J Kim
Journal:  Learn Mem       Date:  2008-02-19       Impact factor: 2.460

3.  Longitudinal Assessment of Working Memory Performance in the APPswe/PSEN1dE9 Mouse Model of Alzheimer's Disease Using an Automated Figure-8-Maze.

Authors:  Fran C van Heusden; Sara Palacín I Bonsón; Oliver Stiedl; August B Smit; Ronald E van Kesteren
Journal:  Front Behav Neurosci       Date:  2021-05-13       Impact factor: 3.558

Review 4.  The surveillance state of behavioral automation.

Authors:  Andreas T Schaefer; Adam Claridge-Chang
Journal:  Curr Opin Neurobiol       Date:  2011-11-24       Impact factor: 6.627

5.  Many Paths to the Same Goal: Balancing Exploration and Exploitation during Probabilistic Route Planning.

Authors:  Brian J Jackson; Gusti Lulu Fatima; Sujean Oh; David H Gire
Journal:  eNeuro       Date:  2020-06-12
  5 in total

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