| 研究課題/領域番号 |
21K20616
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| 研究種目 |
研究活動スタート支援
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| 配分区分 | 基金 |
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| 審査区分 |
0605:獣医学、畜産学およびその関連分野
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| 研究機関 | 京都大学 |
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研究代表者 |
WILSON DUNCAN 京都大学, 文学研究科, 講師 (20828925)
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| 研究期間 (年度) |
2021-08-30 – 2024-03-31
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| 研究課題ステータス |
交付 (2022年度)
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| 配分額 *注記 |
2,860千円 (直接経費: 2,200千円、間接経費: 660千円)
2022年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
2021年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
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| キーワード | geometric morphometrics / facial expression / pain / behaviour / common marmoset |
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| 研究開始時の研究の概要 |
Video of common marmosets will be taken pre- and post-surgery (pre- and post-analgesia) and pain-related behaviours used to score pain intensity at each time point. Facial images will be annotated with landmarks and the relationship between face shape variation and pain-related behaviour analyzed.
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| 研究実績の概要 |
This study aims to quantify changes in facial expression in common marmosets in relation to a routine painful procedure, and validate these changes against traditional pain-related behaviours. In FY2022, I continued to build upon my preliminary analysis of the facial expressions and general behaviour of common marmosets. I expect to complete the full analysis this summer. I also completed work on a separate, but related, project on hormonal and behavioural responses to visual social cues in common marmosets. In addition, I established a new collaboration between Kyoto University, CIEA, and the University of Newcastle, UK, on the automated scoring of marmoset behaviour and facial expressions.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
In FY2022, our paper entitled: ‘CalliFACS: The Common Marmoset Facial Action Coding System’ was published in the journal PLoS ONE. This manual is a new tool which enables users to objectively code facial movements (Action Units) specific to common marmosets. I also worked on a separate research project on common marmosets in collaboration with Dr. Catia Caeiro, Kyoto University. For this project, a masters student and I helped to code video footage of marmoset behaviour. This work entitled: ‘Hormonal and behavioural responses to visual social cues in common marmosets (Callithrix jacchus)’ is under review in the journal Hormones and Behavior. Contributing to this project led to a slight delay in my own data analysis. In FY2023, I am continuing to work on my analysis of facial expression and behaviour of common marmosets in collaboration with Dr. Vanessa Gris at the Center for the Evolutionary Origins of Human Behavior, Kyoto University. I expect to complete the analysis this summer and submit a manuscript later this year. Overall, progress is a little behind schedule.
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| 今後の研究の推進方策 |
In FY2023, the main focus of the project will be to complete the statistical analysis, submit a manuscript for publication, and disseminate the results. I intend to present the findings at the Japan Society for Marmoset Research (JSMR) Annual Conference in February, 2024. Future research promotion involves working on the automated analysis of facial expressions of pain using machine learning. We have made good progress towards this goal by establishing an MTA (Material Transfer Agreement) of marmoset video data from the Central Institute for Experimental Animals (CIEA) in Japan to the University of Newcastle in the UK. In collaboration with Dr. Takako Miyabe, Kyoto University, and I, experts in AI and laboratory animal welfare at the University of Newcastle will use our video data to develop machine learning algorithms for the automated scoring of marmoset behaviour and facial expressions. This new international collaboration is expected to last from 2023-2027.
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