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  1. 学術雑誌論文

Long-term monitoring of huddling behavior in mice using online image processing

https://az.repo.nii.ac.jp/records/2000259
https://az.repo.nii.ac.jp/records/2000259
acdce50f-d079-4be4-81e3-ef6627f7c00e
名前 / ファイル ライセンス アクション
Neuropsychopharm Neuropsychopharm Rep - 2023 - Nomoto - Long‐term monitoring of huddling behavior in mice using online image processing.pdf (1.4 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2025-01-15
タイトル
タイトル Long-term monitoring of huddling behavior in mice using online image processing
言語 en
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 Nomoto, Kensaku

× Nomoto, Kensaku

en Nomoto, Kensaku

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Tajima, Jitsu

× Tajima, Jitsu

en Tajima, Jitsu

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Kikusui, Takefumi

× Kikusui, Takefumi

en Kikusui, Takefumi

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Mogi, Kazutaka

× Mogi, Kazutaka

en Mogi, Kazutaka

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Abstract
内容記述タイプ Abstract
内容記述 Many animal species, including mice, form societies of numerous individuals for survival. Understanding the interactions between individual animals is crucial for elucidating group behavior. One such behavior in mice is huddling, yet its analysis has been limited. In this study, we propose a cost-effective method for monitoring long-term huddling behavior in mice using online image processing with OpenCV. This method treats a single mouse or a group of mice as a cluster of pixels (a ‘blob’) in video images, extracting and saving only essential information such as areas, coordinates, and orientations. This approach reduces data storage needs to 1/200000th of what would be required if the video were recorded in its compressed form, thereby enabling long-term behavioral analysis. To validate the performance of our algorithm, ~2000 video frames were randomly chosen. We manually counted the number of clusters of mice in these frames and compared them with the number of blobs automatically detected by the algorithm. The results indicated a high level of consistency, exceeding 90% across the selected video frames. Initial observations of both male and female groups suggested some variations in huddling behavior among male and female groups; however, these results should be interpreted cautiously due to a small sample. Group behavior is known to be disrupted in several neuropsychiatric disorders, such as autism. Various mouse models of these disorders have been proposed. Our measurement system, when combined with drug or genetic modification screening, could provide a valuable tool for high-throughput analyses of huddling behavior.
言語 en
書誌情報 Neuropsychopharmacology reports

号 44, p. 285-291, 発行日 2023-10-26
出版者
出版者 Wiley
DOI
識別子タイプ DOI
関連識別子 10.1002/npr2.12387
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
査読
内容記述タイプ Other
内容記述 査読あり
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