Evidence map›Paper›PMID 37384809›Full record

ArticlePLoS biology2023

The Brain/MINDS Marmoset Connectivity Resource: An open-access platform for cellular-level tracing and tractography in the primate brain.

Henrik Skibbe, Muhammad Febrian Rachmadi, Ken Nakae, Carlos Enrique Gutierrez, Junichi Hata, Hiromichi Tsukada, Charissa Poon, Matthias Schlachter, Kenji Doya, Piotr Majka and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

21 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A data-driven framework linking the connectome to spatial gene expression gradients inspired by chemoaffinity theory.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Ultra-high Field fMRI Reveals Effect of Ketamine on Vocal Processing in Common Marmosets.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

16 authors at 8 institutions in 4 countries.

Henrik SkibbeBrain Image Analysis Unit, RIKEN Center for Brain Science, Wako, Saitama, Japan.ORCID 0000-0002-2857-6023
Muhammad Febrian RachmadiBrain Image Analysis Unit, RIKEN Center for Brain Science, Wako, Saitama, Japan.
Ken NakaeExploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Aichi, Japan.
Carlos Enrique GutierrezNeural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Onna Village, Japan.
Junichi HataLaboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako, Saitama, Japan.
Hiromichi TsukadaNeural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Onna Village, Japan.
Charissa PoonBrain Image Analysis Unit, RIKEN Center for Brain Science, Wako, Saitama, Japan.
Matthias SchlachterBrain Image Analysis Unit, RIKEN Center for Brain Science, Wako, Saitama, Japan.
Kenji DoyaNeural Computation Unit, Okinawa Institute of Science and Technology Graduate University, Onna Village, Japan.
Piotr MajkaLaboratory of Neuroinformatics, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland.
Marcello G P RosaAustralian Research Council, Centre of Excellence for Integrative Brain Function, Monash University Node, Clayton, Australia.
Hideyuki OkanoLaboratory for Marmoset Neural Architecture, RIKEN Center for Brain Science, Wako, Saitama, Japan.
Tetsuo YamamoriLaboratory of Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Wako, Saitama, Japan.
Shin IshiiDepartment of Systems Science, Kyoto University, Kyoto, Japan.
Marco ReisertBrain Image Analysis Unit, RIKEN Center for Brain Science, Wako, Saitama, Japan.
Akiya WatakabeLaboratory of Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Wako, Saitama, Japan.
RIKEN Center for Brain Science · JPOkinawa Institute of Science and Technology Graduate University · JPAustralian Research Council · AUKeio University · JPCentral Institute for Experimental Animals · JPKyoto University · JPNational Institutes of Natural Sciences · JPUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primate brain has unique anatomical characteristics, which translate into advanced cognitive, sensory, and motor abilities. Thus, it is important that we gain insight on its structure to provide a solid basis for models that will clarify function. Here, we report on the implementation and features of the Brain/MINDS Marmoset Connectivity Resource (BMCR), a new open-access platform that provides access to high-resolution anterograde neuronal tracer data in the marmoset brain, integrated to retrograde tracer and tractography data. Unlike other existing image explorers, the BMCR allows visualization of data from different individuals and modalities in a common reference space. This feature, allied to an unprecedented high resolution, enables analyses of features such as reciprocity, directionality, and spatial segregation of connections. The present release of the BMCR focuses on the prefrontal cortex (PFC), a uniquely developed region of the primate brain that is linked to advanced cognition, including the results of 52 anterograde and 164 retrograde tracer injections in the cortex of the marmoset. Moreover, the inclusion of tractography data from diffusion MRI allows systematic analyses of this noninvasive modality against gold-standard cellular connectivity data, enabling detection of false positives and negatives, which provide a basis for future development of tractography. This paper introduces the BMCR image preprocessing pipeline and resources, which include new tools for exploring and reviewing the data.

Indexed as

BrainCallithrixAnimalsBrain MappingDiffusion Magnetic Resonance ImagingNeural PathwaysPrefrontal Cortex

Identifiers

PMID37384809
PMCPMC10337976
OpenAlexW4382600048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.