ArticleNeuron2018
An Open Resource for Non-human Primate Imaging.
Article in Neuron, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
157 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex.Nature communications · 2022Pooled it
- Anchoring the human olfactory system within a functional gradient.NeuroImage · 2020Pooled it
- ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.Translational psychiatry · 2020Pooled it
- Frequency-filtered attention for cross-species fMRI time series prediction under small-sample learning.iScience · 2026Article
- Beyond the LUMIR challenge: The pathway to foundational registration models.Medical image analysis · 2026Article
- State-dependent signal flow hierarchy in the human cerebral cortex.Nature neuroscience · 2026Article
- A hierarchical framework for cortical and subcortical gray-matter parcellation across rodents, primates, and humans.Nature communications · 2026Article
- Brainana: an end-to-end preprocessing framework for macaque neuroimaging.bioRxiv : the preprint server for biology · 2026Article
- Adaptive Riemannian optimization for multi-scale diffeomorphic matching.Nature communications · 2026Article
- The MacBrain Resource Center (MBRC) rhesus macaque postnatal brain histology datasets: Enabling new discoveries through NHP tissue and digital data Repositories.Journal of anatomy · 2026Article
- Competitive interactions shape mammalian brain network dynamics and computation.Nature neuroscience · 2026Article
- Comparing the Limbic-Frontal Connectome across the Primate Order: Conservation of Connections and Implications for Translational Neuroscience.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Article
- Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- An evolutionary view on the developing prefrontal cortex connectome and its psychopathological networks: Tract tracing and imaging studies linking two distant anthropoid species.Research square · 2026Article
- What needs to be standardized for reliable, reproducible, and robust tractography?GigaScience · 2026Review
- Development of a 24-channel 3T phased-array coil for fMRI in awake monkeys: Mitigating spatiotemporal artifacts in ferumoxytol-weighted functional connectivity estimation.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Statistically valid explainable black-box machine learning: applications in sex classification across species using brain imaging.PloS one · 2026Article
- A 3D-printed phantom to validate subject orientation in 3D imaging and recordings.Frontiers in neuroinformatics · 2026Article
- Article
97 more citing papers are in PubMed but not listed here.
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70 authors.
Funding
Abstract
Non-human primate neuroimaging is a rapidly growing area of research that promises to transform and scale translational and cross-species comparative neuroscience. Unfortunately, the technological and methodological advances of the past two decades have outpaced the accrual of data, which is particularly challenging given the relatively few centers that have the necessary facilities and capabilities. The PRIMatE Data Exchange (PRIME-DE) addresses this challenge by aggregating independently acquired non-human primate magnetic resonance imaging (MRI) datasets and openly sharing them via the International Neuroimaging Data-sharing Initiative (INDI). Here, we present the rationale, design, and procedures for the PRIME-DE consortium, as well as the initial release, consisting of 25 independent data collections aggregated across 22 sites (total = 217 non-human primates). We also outline the unique pitfalls and challenges that should be considered in the analysis of non-human primate MRI datasets, including providing automated quality assessment of the contributed datasets.
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Registered trials
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.