MICA-MICs
MICA-MICs: a dataset for Microstructure-Informed Connectomics
Multimodal brain MRI of healthy adults, collected to study brain organization across scales by linking cortical microstructure, structural and functional connectivity. Raw T1-weighted, quantitative T1, diffusion and resting-state scans come with ready-made connectomes in 18 parcellations.
Overview
MICA-MICs is an openly shared 3T brain MRI dataset of healthy adults from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute, McGill University. It was built to support research on how the human brain is organized across spatial scales, by pairing a myelin-sensitive quantitative T1 scan with diffusion and resting-state functional imaging in the same people. Besides the raw BIDS images it ships processed connectivity matrices and connectivity gradients from the micapipe pipeline. It is hosted on the Canadian Open Neuroscience Platform (CONP) and on OSF under a CC0 waiver, and is described in a 2022 Scientific Data paper.
Composition
The release covers 50 healthy volunteers (23 women, 27 men) with a mean age of 29.5 years (SD 5.6); 47 are right-handed. Each person had one session with two T1-weighted MP-RAGE runs (one subject has only one), an MP2RAGE acquisition stored as two inversion images, a synthetic uniform image and a T1 map, three diffusion shells with a reverse phase-encoded b0, and one resting-state fMRI run with a pair of spin-echo images for distortion correction. Derivatives include structural, functional, microstructural profile covariance and geodesic distance matrices in 18 parcellations, group and subject-level gradients, and MRIQC reports. Age is shared in 5-year bands and sex as F or M.
Acquisition
All scans were acquired between April 2018 and February 2021 on one Siemens Magnetom Prisma-Fit at 3T with a 64-channel head coil, in about 45 minutes. T1-weighted images are 0.8 mm isotropic, the MP2RAGE is 0.8 mm isotropic, diffusion is 1.6 mm isotropic with b-values of 300, 700 and 2000 s/mm² (10, 40 and 90 directions), and resting-state fMRI is a multiband EPI at 3 mm isotropic with a 600 ms repetition time. Faces were removed by masking.
Annotations
There are no manual labels. Automated surface reconstructions, parcellations and connectomes come from micapipe.
Known limitations
The sample is small, young and from a single scanner and site, so it does not cover ageing or disease. Only one resting-state run of about 7 minutes is available per person, and the first four subjects have 800 instead of 700 timepoints. Age is coarsened to 5-year bands.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 50 subjects.
Sex
- Female 23 46%
- Male 27 54%
Methods: Participants in Royer et al. 2022, An Open MRI Dataset For Multiscale Neuroscience, Scientific Data; From participants.tsv of the MICA-MICs release (CC0), counted per row; sex from sex
Age
mean 29.5 ± 5.6
No age bins reported.
Methods: Participants in Royer et al. 2022, An Open MRI Dataset For Multiscale Neuroscience, Scientific Data
Contrast / sequence
Groups can overlap
- T1-weighted 50 100%
- T1 map 50 100%
- Diffusion-weighted 50 100%
- BOLD fMRI 50 100%
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | T1map | dwi | bold | Subjects with exactly this set |
|---|---|---|---|---|
50 |
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Download without an account
Creative Commons Zero 1.0 Universal
Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.
license.txt of the release states "This work is licensed under the CC0 1.0 Universal license", with a request to cite the paper. The OSF project and the CONP DATS.json also list CC0.
What you can do
- Yes
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- No
- Share alike No
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Citation
Royer J, Rodriguez-Cruces R, Tavakol S, et al. An Open MRI Dataset For Multiscale Neuroscience. Scientific Data 9, 569 (2022). doi:10.1038/s41597-022-01682-y
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.
- Royer et al. 2022, An Open MRI Dataset For Multiscale Neuroscience, Scientific Data paper
- DATS.json of the CONP mica-mics repository (version, license, size) website
- participants.tsv of the MICA-MICs release (CC0), counted per row; sex from sex computed
- BIDS file tree of the CONP mica-mics repository (CC0), raw NIfTI files under MICs_release/rawdata/sub-*/ counted per suffix computed