Evidence map›Paper›PMID 42389121›Full record

ArticleFrontiers in neural circuits2026

Developmental trajectories of vocal behaviors in common marmosets as a reference framework for neurobehavioral studies.

Xincheng Zhao, Takaaki Kaneko, Wanyi Lu, Ken-Ichi Inoue, Masayuki Matsumoto, Masahiko Takada

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xincheng ZhaoInstitute for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.
Takaaki KanekoDivision of Behavioral Development, Department of System Neuroscience, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Japan.
Wanyi LuInstitute for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.
Ken-Ichi InoueDepartment of Integrative Anatomy, Graduate School of Medical Sciences, Nagoya City University, Nagoya, Japan.
Masayuki MatsumotoInstitute for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.
Masahiko TakadaInstitute for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonhuman primates are essential model animals for understanding brain development and neurodevelopmental disorders. The common marmoset is becoming a key primate species due to its ease of handling and reproductive efficiency, along with increasing research resources, such as an MRI brain atlas of developing marmosets. The present study aims to further support the use of marmosets by providing a detailed description of the developmental trajectories of vocal behaviors with an automated system to detect and analyze vocalizations. We collected 64,736 vocalizations, classified them into 11 vocal types, and observed significant changes in their vocal behaviors from neonates to 12 weeks of age. Several call types, including Trill, Phee, and Cry, peaked around the sixth week before gradually declining. By contrast, calls such as immature Phee, and Twitter were most frequent at birth but decreased steadily, nearly disappearing by 6-8 weeks. In addition, we provide a platform for automatically detecting these vocalizations using artificial neural networks trained on a dataset applicable across various research contexts. Overall, this study not only describes the developmental trajectories of vocal behaviors in a fixed controlled context across developmental stages, but also serves as a reference framework for analyzing marmoset models of developmental disorders.

Indexed as

CallithrixVocalization, AnimalAnimalsAnimals, NewbornBrainFemaleMaleNeural Networks, ComputerNeurodevelopmentautomated detectiondatasetdevelopmentdisease modelmarmosetvocalization

Identifiers

PMID42389121
PMCPMC13318865

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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 OpenQuestion graph.