Cargando…
Network analysis of exploratory behaviors of mice in a spatial learning and memory task
The Barnes maze is one of the main behavioral tasks used to study spatial learning and memory. The Barnes maze is a task conducted on “dry land” in which animals try to escape from a brightly lit exposed circular open arena to a small dark escape box located under one of several holes at the periphe...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507260/ https://www.ncbi.nlm.nih.gov/pubmed/28700627 http://dx.doi.org/10.1371/journal.pone.0180789 |
_version_ | 1783249703479017472 |
---|---|
author | Suzuki, Yusuke Imayoshi, Itaru |
author_facet | Suzuki, Yusuke Imayoshi, Itaru |
author_sort | Suzuki, Yusuke |
collection | PubMed |
description | The Barnes maze is one of the main behavioral tasks used to study spatial learning and memory. The Barnes maze is a task conducted on “dry land” in which animals try to escape from a brightly lit exposed circular open arena to a small dark escape box located under one of several holes at the periphery of the arena. In comparison with another classical spatial learning and memory task, the Morris water maze, the negative reinforcements that motivate animals in the Barnes maze are less severe and less stressful. Furthermore, the Barnes maze is more compatible with recently developed cutting-edge techniques in neural circuit research, such as the miniature brain endoscope or optogenetics. For this study, we developed a lift-type task start system and equipped the Barnes maze with it. The subject mouse is raised up by the lift and released into the maze automatically so that it can start navigating the maze smoothly from exactly the same start position across repeated trials. We believe that a Barnes maze test with a lift-type task start system may be useful for behavioral experiments when combined with head-mounted or wire-connected devices for online imaging and intervention in neural circuits. Furthermore, we introduced a network analysis method for the analysis of the Barnes maze data. Each animal’s exploratory behavior in the maze was visualized as a network of nodes and their links, and spatial learning in the maze is described by systematic changes in network structures of search behavior. Network analysis was capable of visualizing and quantitatively analyzing subtle but significant differences in an animal’s exploratory behavior in the maze. |
format | Online Article Text |
id | pubmed-5507260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55072602017-07-25 Network analysis of exploratory behaviors of mice in a spatial learning and memory task Suzuki, Yusuke Imayoshi, Itaru PLoS One Research Article The Barnes maze is one of the main behavioral tasks used to study spatial learning and memory. The Barnes maze is a task conducted on “dry land” in which animals try to escape from a brightly lit exposed circular open arena to a small dark escape box located under one of several holes at the periphery of the arena. In comparison with another classical spatial learning and memory task, the Morris water maze, the negative reinforcements that motivate animals in the Barnes maze are less severe and less stressful. Furthermore, the Barnes maze is more compatible with recently developed cutting-edge techniques in neural circuit research, such as the miniature brain endoscope or optogenetics. For this study, we developed a lift-type task start system and equipped the Barnes maze with it. The subject mouse is raised up by the lift and released into the maze automatically so that it can start navigating the maze smoothly from exactly the same start position across repeated trials. We believe that a Barnes maze test with a lift-type task start system may be useful for behavioral experiments when combined with head-mounted or wire-connected devices for online imaging and intervention in neural circuits. Furthermore, we introduced a network analysis method for the analysis of the Barnes maze data. Each animal’s exploratory behavior in the maze was visualized as a network of nodes and their links, and spatial learning in the maze is described by systematic changes in network structures of search behavior. Network analysis was capable of visualizing and quantitatively analyzing subtle but significant differences in an animal’s exploratory behavior in the maze. Public Library of Science 2017-07-10 /pmc/articles/PMC5507260/ /pubmed/28700627 http://dx.doi.org/10.1371/journal.pone.0180789 Text en © 2017 Suzuki, Imayoshi http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Suzuki, Yusuke Imayoshi, Itaru Network analysis of exploratory behaviors of mice in a spatial learning and memory task |
title | Network analysis of exploratory behaviors of mice in a spatial learning and memory task |
title_full | Network analysis of exploratory behaviors of mice in a spatial learning and memory task |
title_fullStr | Network analysis of exploratory behaviors of mice in a spatial learning and memory task |
title_full_unstemmed | Network analysis of exploratory behaviors of mice in a spatial learning and memory task |
title_short | Network analysis of exploratory behaviors of mice in a spatial learning and memory task |
title_sort | network analysis of exploratory behaviors of mice in a spatial learning and memory task |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5507260/ https://www.ncbi.nlm.nih.gov/pubmed/28700627 http://dx.doi.org/10.1371/journal.pone.0180789 |
work_keys_str_mv | AT suzukiyusuke networkanalysisofexploratorybehaviorsofmiceinaspatiallearningandmemorytask AT imayoshiitaru networkanalysisofexploratorybehaviorsofmiceinaspatiallearningandmemorytask |