Evidence map›Paper›PMID 41234803›Full record

ArticleRoyal Society open science2025

Visualization and quantification of facial muscles with 9.4T MRI-DTI in common marmosets (

Kanako Muta, Catia Correia-Caeiro, Junichi Hata, Takako Miyabe-Nishiwaki, Sho Kurihara, Yuri Takae, Hirotaka James Okano, Hideyuki Okano, Anne Burrows

Abstract read
In one paragraph

Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Kanako Muta *Graduate School of Human Health Science, Tokyo Metropolitan University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6424-1538
Catia Correia-Caeiro *Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, Japan.
Junichi HataGraduate School of Human Health Science, Tokyo Metropolitan University, Tokyo, Japan.
Takako Miyabe-NishiwakiCenter for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, Japan.
Sho KuriharaDivision of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Yuri TakaeDivision of Regenerative Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Hirotaka James OkanoConnectome Analysis Unit, Center for Brain Science, RIKEN, Saitama, Japan.
Hideyuki OkanoConnectome Analysis Unit, Center for Brain Science, RIKEN, Saitama, Japan.
Anne BurrowsDepartment of Physical Therapy, Duquesne University, Pittsburgh, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The traditional dissections of the specialized mimetic muscles that produce facial expressions have revealed important insights into the evolution of muscles and their function in human and other mammals' social interactions. However, in small species, the task of manually visualizing and analysing musculature is challenging; even in larger species and muscles, digital anatomy methods, such as DiceCT and MRI-DTI, have been growing in popularity recently, providing detailed new insights into the structure and morphology of muscles. The current work presents for the first time a 9.4T MRI-DTI visualization and analysis of the complete facial musculature used for facial expression in a primate species, in this case a very small species hard to analyse with traditional dissection, the common marmoset. In addition, a quantification and comparison of overall, individual and bilateral muscles was performed in the light of functional anatomy, followed by a critical analysis of this novel method for the study of facial anatomy. Twenty-two muscles were tracked, described, quantified and compared in three individuals. This work demonstrates the feasibility of MRI-DTI as a relatively novel method to digitally visualize the structure of facial muscles in a small species. In addition, this method is able to quantify varied muscle parameters for comparisons between individuals, muscles and hemifaces.

Indexed as

anatomycommon marmosetdiffusion MRIdiffusion tensor imagingfacial musclesmuscle anatomy

Identifiers

PMID41234803
PMCPMC12606266

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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.