ArticleScientific data2022
An Open MRI Dataset For Multiscale Neuroscience.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
69 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain maps of general cognitive functioning: neuroimaging and neurobiological signatures.Translational psychiatry · 2025Pooled it
- Top-down feedback in deep neural networks leads to functional differences during audiovisual integration.eLife · 2026Article
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- Multiscale structural connectome eigenmodes constrain human brain functional dynamics.Communications biology · 2026Article
- Sex-related structural alterations across common epilepsies: a worldwide ENIGMA study.bioRxiv : the preprint server for biology · 2026Article
- Opportunities and pitfalls of data contextualization in neuroimaging.Nature reviews. Neuroscience · 2026Review
- Individual differences reveal distinct age and pubertal contributions to the refinement of the functional cortical hierarchy during adolescence.bioRxiv : the preprint server for biology · 2026Article
- Sender-receiver subdivisions of the default mode network in perceptual and memory-guided cognition.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Structural signatures of synergy and redundancy in human brain function.bioRxiv : the preprint server for biology · 2026Article
- The role of white matter myelin in structural-functional network coupling.Communications biology · 2026Article
- Associations between epilepsy-related polygenic risk and brain morphology in childhood.Brain : a journal of neurology · 2026Article
- DermIDS: Dermatology imaging data structure for scalable and interoperable AI systems.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- The biological role of local and global fMRI BOLD signal variability in multiscale human brain organization.Nature communications · 2026Article
- The structural grammar of integration and competition in the human connectome.Frontiers in computational neuroscience · 2026Article
- MICAFlow: Fast and robust MRI preprocessing bridging research neuroimaging and clinical practice.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Evaluating oscillatory mechanisms underlying flexible neural communication in the human brain.Network neuroscience (Cambridge, Mass.) · 2026Article
- Human cortical dynamics reflect graded contributions of local geometry and network topography.Nature communications · 2025Article
- A Structured Review and Quantitative Profiling of Public Brain MRI Datasets for Foundation Model Development.Journal of imaging · 2025Review
- Cortical morphometric gradients reveal molecular and cognitive underpinnings of bipolar disorder.Psychological medicine · 2025Article
- A multimodal neuroimaging dataset for investigating speech perceptual normalization.Scientific data · 2025Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
17 authors.
Funding
Abstract
Multimodal neuroimaging grants a powerful window into the structure and function of the human brain at multiple scales. Recent methodological and conceptual advances have enabled investigations of the interplay between large-scale spatial trends (also referred to as gradients) in brain microstructure and connectivity, offering an integrative framework to study multiscale brain organization. Here, we share a multimodal MRI dataset for Microstructure-Informed Connectomics (MICA-MICs) acquired in 50 healthy adults (23 women; 29.54 ± 5.62 years) who underwent high-resolution T1-weighted MRI, myelin-sensitive quantitative T1 relaxometry, diffusion-weighted MRI, and resting-state functional MRI at 3 Tesla. In addition to raw anonymized MRI data, this release includes brain-wide connectomes derived from (i) resting-state functional imaging, (ii) diffusion tractography, (iii) microstructure covariance analysis, and (iv) geodesic cortical distance, gathered across multiple parcellation scales. Alongside, we share large-scale gradients estimated from each modality and parcellation scale. Our dataset will facilitate future research examining the coupling between brain microstructure, connectivity, and function. MICA-MICs is available on the Canadian Open Neuroscience Platform data portal ( https://portal.conp.ca ) and the Open Science Framework ( https://osf.io/j532r/ ).
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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.