Evidence map›Paper›PMID 41545434›Full record

ArticleScientific data2026

Brain/MINDS Marmoset Brain Atlas 2.0: Population Cortical Parcellation With Multi-Modal Templates.

Rui Gong, Noritaka Ichinohe, Hiroshi Abe, Toshiki Tani, Mengkuan Lin, Takuto Okuno, Ken Nakae, Junichi Hata, Shin Ishii, Patrice Delmas and 5 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2026. 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

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

1 citing paper in PubMed.

  1. Review
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.

Rui GongConnectome Analysis Unit, RIKEN Center for Brain Science, Wako, Saitama, Japan. rgon011@gmail.com.ORCID http://orcid.org/0000-0001-8197-0460
Noritaka IchinoheDepartment of Ultrastructural Research, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan.ORCID http://orcid.org/0000-0002-8323-4552
Hiroshi AbeLaboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Wako, Saitama, Japan.ORCID http://orcid.org/0000-0002-9711-9715
Toshiki TaniLaboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Wako, Saitama, Japan.
Mengkuan LinDepartment of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Takuto OkunoGraduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan.
Ken NakaeGraduate School of Engineering, University of Fukui, Fukui, Japan.
Junichi HataGraduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan.ORCID http://orcid.org/0000-0001-5833-444X
Shin IshiiIntegrated Systems Biology Laboratory, Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto, Japan.
Patrice DelmasIntelligent Vision Systems Laboratory, The University of Auckland, Auckland, New Zealand.
Shahrokh HeidariIntelligent Vision Systems Laboratory, The University of Auckland, Auckland, New Zealand.
Jiaxuan WangIntelligent Vision Systems Laboratory, The University of Auckland, Auckland, New Zealand.
Tetsuo YamamoriLaboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Wako, Saitama, Japan.
Hideyuki OkanoLaboratory for Marmoset Models of Brain Diseases, RIKEN Center for Brain Science, Wako, Saitama, Japan.
Alexander WoodwardConnectome Analysis Unit, RIKEN Center for Brain Science, Wako, Saitama, Japan.

Funding

Japan Agency for Medical Research and Development (AMED) 24K03256Japan Agency for Medical Research and Development (AMED) JP15dm0207001Japan Agency for Medical Research and Development (AMED) JP19dm0207088Japan Agency for Medical Research and Development (AMED) JP22H05163Japan Agency for Medical Research and Development (AMED) JP23wm0625001Japan Agency for Medical Research and Development (AMED) JP24wm0625404Japan Agency for Medical Research and Development (AMED) JP24wm0625414
6 · The paper itself

Abstract

We present our new Brain/MINDS 3D digital marmoset brain atlas version 2.0 (BMA2.0), a population-based 3D digital brain atlas of the common marmoset (Callithrix jacchus), designed to overcome the limitations of previous single subject atlases that are prone to structural biases arising from individual variation. Here, manually delineated cortical regions from 10 myelin-stained brains were used to create a generalized cortical parcellation. Newly refined subcortical regions from a previous atlas and a completely new cerebellum parcellation were also incorporated, resulting in a comprehensive whole brain parcellation for both hemispheres. To facilitate multimodal data analysis, the atlas package includes co-registered average templates for myelin and Nissl staining from the same individuals, ex vivo MRI T2 (91 individuals), and in vivo MRI T2 (446 individuals). Cortical flat maps and pial, cortical mid-thickness, and white matter surfaces are also provided. BMA2.0 provides a central brain space for multimodal data integration, spatial analysis, and comparative neuroscience. Standard formats and transformations are provided for easy integration into existing workflows and interoperability with existing atlases.

Indexed as

Atlases as TopicBrainCallithrixAnimalsBrain MappingImaging, Three-DimensionalMagnetic Resonance Imaging

Identifiers

PMID41545434
PMCPMC12917118

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Registered trials

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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.