Evidence map›Paper›PMID 40577464›Full record

ArticleScience advances2025

Three-dimensional markerless motion capture of multiple freely behaving monkeys toward automated characterization of social behavior.

Jumpei Matsumoto, Takaaki Kaneko, Kei Kimura, Salvador Blanco Negrete, Jia Guo, Naoko Suda-Hashimoto, Akihisa Kaneko, Mayumi Morimoto, Hiroshi Nishimaru, Tsuyoshi Setogawa and 5 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Jumpei MatsumotoDepartment of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama, Japan.ORCID 0000-0003-4729-2816
Takaaki KanekoSystems Neuroscience Section, Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.ORCID 0000-0002-3364-9020
Kei KimuraSystems Neuroscience Section, Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.ORCID 0000-0003-0820-1272
Salvador Blanco NegreteDepartment of Life Science and Systems Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan.ORCID 0000-0003-4505-0581
Jia GuoSystems Neuroscience Section, Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.ORCID 0000-0001-5042-4045
Naoko Suda-HashimotoCenter for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.ORCID 0009-0008-0646-4742
Akihisa KanekoCenter for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.ORCID 0000-0003-3629-1658
Mayumi MorimotoCenter for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.ORCID 0009-0002-2110-6341
Hiroshi NishimaruDepartment of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama, Japan.
Tsuyoshi SetogawaDepartment of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama, Japan.ORCID 0000-0003-0639-6184
Yasuhiro GoDepartment of System Neuroscience, National Institute for Physiological Sciences, Okazaki, Japan.ORCID 0000-0003-4581-0325
Tomohiro ShibataDepartment of Human Intelligence Systems, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan.ORCID 0000-0002-8766-4250
Hisao NishijoDepartment of System Emotional Science, Faculty of Medicine, University of Toyama, Toyama, Japan.
Masahiko TakadaSystems Neuroscience Section, Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.ORCID 0000-0003-0774-2333
Ken-Ichi InoueSystems Neuroscience Section, Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.ORCID 0000-0002-5683-5280

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given their high sociality and close evolutionary distance to humans, monkeys are an essential animal model for unraveling the biological mechanisms underlying human social behavior and elucidating the pathogenesis of diseases exhibiting abnormal social behavior. However, behavioral analysis of naturally behaving monkeys requires manual counting of various behaviors, which has been a bottleneck due to problems in throughput and objectivity. Here, we developed a three-dimensional markerless motion capture system that used multi-view data for robust tracking of individual monkeys and accurate reconstruction of the three-dimensional poses of multiple monkeys living in groups. Validation analysis in two monkey groups revealed that the system enabled the characterization of individual social dispositions and relationships through automated detection of eight basic social events. Analyses of social looking demonstrated its potential for investigating adaptive behaviors in a social group. These results suggest that this motion capture system will greatly enhance our ability to analyze primate social behavior.

Indexed as

Behavior, AnimalImaging, Three-DimensionalSocial BehaviorAnimalsMaleMotion Capture

Identifiers

PMID40577464
PMCPMC12204171

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.