Evidence map›Paper›PMID 37081025›Full record

ArticleScientific data2023

A new open, high-resolution, multishell, diffusion-weighted imaging dataset of the living squirrel monkey.

Thomas Orset, Julie Royo, Mathieu David Santin, Pierre Pouget, Michel Thiebaut de Schotten

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2023. 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
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Evidence for an Evolutionary Continuity in Social Dominance: Insights from Nonhuman Primate Tractography.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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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

5 authors at 2 institutions in 1 country.

Thomas OrsetBrain Connectivity and Behaviour Laboratory, Sorbonne University, Paris, France. orset.thomas@gmail.com.ORCID 0000-0003-0073-9481
Julie RoyoBrain Connectivity and Behaviour Laboratory, Sorbonne University, Paris, France.ORCID 0000-0003-1521-5648
Mathieu David Santin *ICM, Centre de NeuroImagerie de Recherche - CENIR, Paris, France.ORCID 0000-0003-4251-0538
Pierre Pouget *Brain Connectivity and Behaviour Laboratory, Sorbonne University, Paris, France.ORCID 0000-0002-4721-7376
Michel Thiebaut de Schotten *Brain Connectivity and Behaviour Laboratory, Sorbonne University, Paris, France.ORCID 0000-0002-0329-1814
Centre National de la Recherche Scientifique · FRFondation de l'Avenir · FR

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 818521
6 · The paper itself

Abstract

Although very well adapted to brain study, Magnetic Resonance Imaging (MRI) remains limited by the facilities and capabilities required to acquire data, especially for non-human primates. Addressing the data gaps resulting from these limitations requires making data more accessible and open. In contempt of the regular use of Saimiri sciureus in neuroscience research, in vivo diffusion has yet to be openly available for this species. Here we built and made openly available a unique new resource consisting of a high-resolution, multishell diffusion-weighted dataset in the anesthetized Saimiri sciureus. The data were acquired on 11 individuals with an 11.7 T MRI scanner (isotropic resolution of 400 µm

Indexed as

BrainDiffusion Magnetic Resonance ImagingAnimalsMagnetic Resonance ImagingPrimatesSaimiri

Identifiers

PMID37081025
PMCPMC10119165
OpenAlexW4366598471

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.