ArticleScientific data2025
Multimodal precision MRI of the individual human brain at ultra-high fields.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Causal graph neural networks for healthcare.Nature biomedical engineering · 2026Review
- Multiscale characterization of the human claustrum from histology to MRI.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Validation of five automated structural MRI quality assessment tools against expert ratings.Neuroradiology · 2026Article
- Article
- Opportunities and pitfalls of data contextualization in neuroimaging.Nature reviews. Neuroscience · 2026Review
- Microstructural profiles of the human superficial white matter and their associations to cortical geometry and connectivity.PLoS biology · 2026Article
- MICAFlow: Fast and robust MRI preprocessing bridging research neuroimaging and clinical practice.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Human cortical dynamics reflect graded contributions of local geometry and network topography.Nature communications · 2025Article
- HippoMaps: multiscale cartography of human hippocampal organization.Nature methods · 2025Article
- Multimodal gradients unify local and global cortical organization.Nature communications · 2025Article
- GOUHFI: A novel contrast- and resolution-agnostic segmentation tool for ultra-high-field MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Precision neurodiversity: personalized brain network architecture as a window into cognitive variability.Frontiers in human neuroscience · 2025Review
- Intracortical microstructure profiling: A cross-modal method for indexing cortical lamination.Imaging neuroscience (Cambridge, Mass.)Article
- Retinal nerve fibre layer thickness reflects characteristics of brain grey and white matter.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Multimodal neuroimaging, in particular magnetic resonance imaging (MRI), allows for non-invasive examination of human brain structure and function across multiple scales. Precision neuroimaging builds upon this foundation, enabling the mapping of brain structure, function, and connectivity patterns with high fidelity in single individuals. Highfield MRI, operating at magnetic field strengths of 7 Tesla (T) or higher, increases signal-to-noise ratio and opens up possibilities for gains spatial resolution. Here, we share a multimodal Precision Neuroimaging and Connectomics (PNI) 7 T MRI dataset. Ten healthy individuals underwent a comprehensive MRI protocol, including T1 relaxometry, magnetization transfer imaging, T2*-weighted imaging, diffusion MRI, and multi-state functional MRI paradigms, aggregated across three imaging sessions. Alongside anonymized raw MRI data, we release cortex-wide connectomes from different modalities across multiple parcellation scales, and supply "gradients" that compactly characterize spatial patterning of cortical organization. Our precision MRI dataset will advance our understanding of structure-function relationships in the individual human brain and is publicly available via the Open Science Framework.
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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.