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Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior
Circadian rhythm is defined as a 24-hour biological oscillation, which persists even without any external cues but also can be re-entrained by various environmental cues. One of the widely accepted circadian rhythm behavioral experiment is measuring the wheel-running activity (WRA) of rodents. Howev...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Society for Brain and Neural Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840463/ https://www.ncbi.nlm.nih.gov/pubmed/29535571 http://dx.doi.org/10.5607/en.2018.27.1.65 |
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author | Kwon, Jea Park, Min Gu Lee, Seung Eun Lee, C. Justin |
author_facet | Kwon, Jea Park, Min Gu Lee, Seung Eun Lee, C. Justin |
author_sort | Kwon, Jea |
collection | PubMed |
description | Circadian rhythm is defined as a 24-hour biological oscillation, which persists even without any external cues but also can be re-entrained by various environmental cues. One of the widely accepted circadian rhythm behavioral experiment is measuring the wheel-running activity (WRA) of rodents. However, the price for commercially available WRA recording system is not easily affordable for researchers due to high-cost implementation of sensors for wheel rotation. Here, we developed a cost-effective and comprehensive system for circadian rhythm recording by measuring the house-keeping activities (HKA). We have monitored animal's HKA as electrical signal by simply connecting animal housing cage with a standard analog/digital converter: input to the metal lid and ground to the metal grid floor. We show that acquired electrical signals are combined activities of eating, drinking and natural locomotor behaviors which are well-known indicators of circadian rhythm. Post-processing of measured electrical signals enabled us to draw actogram, which verifies HKA to be reliable circadian rhythm indicator. To provide easy access of HKA recording system for researchers, we have developed user-friendly MATLAB-based software, Circa Analysis. This software provides functions for easy extraction of scalable “touch activity” from raw data files by automating seven steps of post-processing and drawing actograms with highly intuitive user-interface and various options. With our cost-effective HKA circadian rhythm recording system, we have estimated the cost of our system to be less than $150 per channel. We anticipate our system will benefit many researchers who would like to study circadian rhythm. |
format | Online Article Text |
id | pubmed-5840463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Korean Society for Brain and Neural Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58404632018-03-13 Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior Kwon, Jea Park, Min Gu Lee, Seung Eun Lee, C. Justin Exp Neurobiol Technologue Circadian rhythm is defined as a 24-hour biological oscillation, which persists even without any external cues but also can be re-entrained by various environmental cues. One of the widely accepted circadian rhythm behavioral experiment is measuring the wheel-running activity (WRA) of rodents. However, the price for commercially available WRA recording system is not easily affordable for researchers due to high-cost implementation of sensors for wheel rotation. Here, we developed a cost-effective and comprehensive system for circadian rhythm recording by measuring the house-keeping activities (HKA). We have monitored animal's HKA as electrical signal by simply connecting animal housing cage with a standard analog/digital converter: input to the metal lid and ground to the metal grid floor. We show that acquired electrical signals are combined activities of eating, drinking and natural locomotor behaviors which are well-known indicators of circadian rhythm. Post-processing of measured electrical signals enabled us to draw actogram, which verifies HKA to be reliable circadian rhythm indicator. To provide easy access of HKA recording system for researchers, we have developed user-friendly MATLAB-based software, Circa Analysis. This software provides functions for easy extraction of scalable “touch activity” from raw data files by automating seven steps of post-processing and drawing actograms with highly intuitive user-interface and various options. With our cost-effective HKA circadian rhythm recording system, we have estimated the cost of our system to be less than $150 per channel. We anticipate our system will benefit many researchers who would like to study circadian rhythm. The Korean Society for Brain and Neural Science 2018-02 2018-02-28 /pmc/articles/PMC5840463/ /pubmed/29535571 http://dx.doi.org/10.5607/en.2018.27.1.65 Text en Copyright © Experimental Neurobiology 2018. http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technologue Kwon, Jea Park, Min Gu Lee, Seung Eun Lee, C. Justin Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior |
title | Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior |
title_full | Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior |
title_fullStr | Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior |
title_full_unstemmed | Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior |
title_short | Development of a Low-cost, Comprehensive Recording System for Circadian Rhythm Behavior |
title_sort | development of a low-cost, comprehensive recording system for circadian rhythm behavior |
topic | Technologue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840463/ https://www.ncbi.nlm.nih.gov/pubmed/29535571 http://dx.doi.org/10.5607/en.2018.27.1.65 |
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