ArticleNature communications2023
An open resource combining multi-contrast MRI and microscopy in the macaque brain.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis 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
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.
- Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 2-Ex vivo imaging: Added value and acquisition.Magnetic resonance in medicine · 2025Guideline
- Improved Post-Processing Framework for Whole Slide Imaging and 3D Reconstruction.Microscopy research and technique · 2026Article
- Siibra: a software tool suite for realizing a Multilevel Human Brain Atlas from complex data resources.Nature methods · 2026Article
- Microscopy-informed structural connectivity mapping in the in vivo human brain via domain adaptation.bioRxiv : the preprint server for biology · 2026Article
- Diffusion-relaxation MRI as virtual histology: separable microstructural signatures of AD pathology in ex vivo human brain.Research square · 2026Article
- Separable multidimensional MRI signatures of cellular and structural pathology in Alzheimer's disease.bioRxiv : the preprint server for biology · 2026Article
- Multi-dimensional diffusion MRI at ultra-high gradient strength for mapping axonal architecture and microstructure in the primate brain.bioRxiv : the preprint server for biology · 2026Article
- Article
- Microstructural profiles of the human superficial white matter and their associations to cortical geometry and connectivity.PLoS biology · 2026Article
- Reconstructing the human brain's wiring diagram from axons up.Trends in neurosciences · 2026Review
- Validation of diffusion and exchange imaging biomarkers via simultaneous real-time NMR and optical microscopy.bioRxiv : the preprint server for biology · 2025Article
- Whole-brain reconstruction of fiber tracts based on cytoarchitectonic organization.Nature methods · 2025Article
- Alignment of histological and polarimetric large-scale imaging for brain tissue characterization.Journal of biomedical optics · 2025Article
- Brainbuilder: a software pipeline for 3D reconstruction of cortical maps from multi-modal 2D data sets.Communications biology · 2025Article
- Precise MRI-Histology Coregistration of Paraffin-Embedded Tissue with Blockface Imaging.bioRxiv : the preprint server for biology · 2025Article
- Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3-Ex vivo imaging: Data processing, comparisons with microscopy, and tractography.Magnetic resonance in medicine · 2025Review
- Cross-species neuroanatomy in primates using tractography.Brain structure & function · 2025Review
- Article
- Imaging the structural connectome with hybrid MRI-microscopy tractography.Medical image analysis · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 2 institutions in 2 countries.
Funding
Abstract
Understanding brain structure and function often requires combining data across different modalities and scales to link microscale cellular structures to macroscale features of whole brain organisation. Here we introduce the BigMac dataset, a resource combining in vivo MRI, extensive postmortem MRI and multi-contrast microscopy for multimodal characterisation of a single whole macaque brain. The data spans modalities (MRI and microscopy), tissue states (in vivo and postmortem), and four orders of spatial magnitude, from microscopy images with micrometre or sub-micrometre resolution, to MRI signals on the order of millimetres. Crucially, the MRI and microscopy images are carefully co-registered together to facilitate quantitative multimodal analyses. Here we detail the acquisition, curation, and first release of the data, that together make BigMac a unique, openly-disseminated resource available to researchers worldwide. Further, we demonstrate example analyses and opportunities afforded by the data, including improvement of connectivity estimates from ultra-high angular resolution diffusion MRI, neuroanatomical insight provided by polarised light imaging and myelin-stained histology, and the joint analysis of MRI and microscopy data for reconstruction of the microscopy-inspired connectome. All data and code are made openly available.
Indexed as
Identifiers
What OpenQuestion holds
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.