A behavioral analysis system MCFBM enables objective inference of songbirds' attention during social interactions.

IF 4.3 Q1 BIOCHEMICAL RESEARCH METHODS

Cell Reports Methods Pub Date : 2024-09-16 Epub Date: 2024-09-03 DOI:10.1016/j.crmeth.2024.100844

Mizuki Fujibayashi, Kentaro Abe

{"title":"A behavioral analysis system MCFBM enables objective inference of songbirds' attention during social interactions.","authors":"Mizuki Fujibayashi, Kentaro Abe","doi":"10.1016/j.crmeth.2024.100844","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding animal behavior is crucial in behavioral neuroscience, aiming to unravel the mechanisms driving these behaviors. A significant milestone in this field is the analysis of behavioral reactions during social interactions. Despite their importance in social learning, the behavioral aspects of these interaction are not well understood in detail due to the lack of appropriate tools. We introduce a high-precision, marker-based motion-capture system for analyzing behavior in songbirds, accurately tracking body location and head direction in multiple freely moving finches during social interaction. Focusing on zebra finches, our analysis revealed variations in eye use based on individuals presented. We also observed behavioral changes during virtual and live presentations and a conditioned-learning paradigm. Additionally, the system effectively analyzed social interactions among mice. This system provides an efficient tool for advanced behavioral analysis in small animals and offers an objective method to infer their focus of attention.</p>","PeriodicalId":29773,"journal":{"name":"Cell Reports Methods","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11440064/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Reports Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.crmeth.2024.100844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/3 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}

引用次数: 0

Abstract

Understanding animal behavior is crucial in behavioral neuroscience, aiming to unravel the mechanisms driving these behaviors. A significant milestone in this field is the analysis of behavioral reactions during social interactions. Despite their importance in social learning, the behavioral aspects of these interaction are not well understood in detail due to the lack of appropriate tools. We introduce a high-precision, marker-based motion-capture system for analyzing behavior in songbirds, accurately tracking body location and head direction in multiple freely moving finches during social interaction. Focusing on zebra finches, our analysis revealed variations in eye use based on individuals presented. We also observed behavioral changes during virtual and live presentations and a conditioned-learning paradigm. Additionally, the system effectively analyzed social interactions among mice. This system provides an efficient tool for advanced behavioral analysis in small animals and offers an objective method to infer their focus of attention.

查看原文本刊更多论文

行为分析系统 MCFBM 可以客观推断鸣禽在社会互动过程中的注意力。

了解动物行为是行为神经科学的关键，其目的是揭示这些行为的驱动机制。该领域的一个重要里程碑是分析社会互动过程中的行为反应。尽管社交互动在社会学习中非常重要，但由于缺乏适当的工具，人们对这些互动的行为方面还不甚了解。我们介绍了一种用于分析鸣禽行为的高精度、基于标记的运动捕捉系统，该系统可精确跟踪多只自由移动的雀类在社交互动过程中的身体位置和头部方向。我们的分析以斑马雀为重点，揭示了不同个体在用眼方面的差异。我们还观察到在虚拟和现场演示以及条件学习范式中的行为变化。此外，该系统还有效地分析了小鼠之间的社交互动。该系统为小型动物的高级行为分析提供了一种有效的工具，并为推断它们的注意力焦点提供了一种客观的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Cell Reports Methods Chemistry (General), Biochemistry, Genetics and Molecular Biology (General), Immunology and Microbiology (General)

CiteScore

3.80

自引率

0.00%

发文量

审稿时长

111 days