CoRR
Consortium for Reliability and Reproducibility
Test-retest MRI from 1,629 typical individuals across 18 institutions: 5,093 resting-state fMRI scans plus T1-weighted, diffusion and ASL scans, aggregated by INDI to measure reliability and reproducibility of connectome metrics.
Overview
The Consortium for Reliability and Reproducibility (CoRR) pools test-retest MRI that laboratories had already collected, so that researchers can measure how stable connectome metrics are across repeated scans, sites and study designs. Every sample has at least one baseline and one retest scan. The data are shared through the International Neuroimaging Data-sharing Initiative (INDI) and the COINS platform. Resting-state fMRI is the focus, with diffusion imaging also included.
Composition
The data descriptor reports 1,629 typical individuals with 5,093 resting-state fMRI scans. At submission, CoRR had received 40 test-retest datasets from 36 imaging groups at 18 institutions. The CoRR Data Description page lists 33 datasets, 32 of them downloadable, with 1,629 subjects, 3,357 anatomical scans, 5,093 resting functional scans, 1,302 diffusion scans and 300 CBF and ASL scans. Most samples are presumed neurotypical adults; pediatric samples come from IPCAS 2 and 7, UPSM and NYU, and NKI 1 spans the lifespan. In Table 1 of the paper, site age ranges run from 6 (IPCAS 7) to 88 (LMU 3). Retest designs are within-session, between-session, serial, longitudinal developmental or a hybrid, with retest intervals from minutes to several years. Sites are in China, the United States, Germany and Canada.
Acquisition
Each site used its own protocol. The paper's parameter tables list Siemens, GE and Philips 3 T scanners; structural scans are 3D T1-weighted sequences such as MPRAGE and SPGR. One additional sample (MPG 1) is a high-resolution 7 T test-retest dataset. Faces were removed from anatomical images and NIfTI headers replaced before release. Phenotypic files hold core variables such as age, sex, resting-state instruction and retest interval, with optional items like IQ and BMI at some sites.
Annotations
There are no image labels. The paper and the CoRR quality control page report image quality metrics computed with the Preprocessed Connectomes Project quality assurance protocol.
Known limitations
- Data were released regardless of quality, including scans with notable motion.
- Physiological recordings are mostly absent.
- Protocols, populations and retest intervals differ widely between samples.
- Some samples in the site list were not part of the analyses in the data descriptor, and five listed sites are marked as coming soon.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 1,629 subjects.
Contrast / sequence
subjects, values can overlap
- BOLD fMRI 1,629 100%
Condition
subjects, values can overlap
- Healthy control 1,629 100%
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
Create an account and accept terms online
1000 Functional Connectomes Project / INDI terms (Creative Commons Attribution Non-Commercial, no version stated)
Non-commercial use only, after registering with the 1000 Functional Connectomes Project on NITRC. The NITRC project lists a Creative Commons Attribution Non-Commercial license without a version: derived works must credit the source and stay non-commercial but need not use the same license.
CoRR is shared through INDI. Downloads from NITRC need a NITRC login and registration with the 1000 Functional Connectomes Project / INDI group; the INDI home page grants non-commercial use after registration. COINS also requires a user login.
What you can do
- No
- Not stated
- Conditional
- Not stated
What you can share
- Not stated
- Conditional
- Share trained models Not stated
What you must do
- Yes
- No
- Conditional
- Ethics approval No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Commercial license: Not stated
Citation
Zuo XN, Anderson JS, Bellec P, et al. An open science resource for establishing reliability and reproducibility in functional connectomics. Scientific Data 1:140049 (2014). doi:10.1038/sdata.2014.49
All numbers
Every number on this page, as stored in stats.csv, with its source.
| Measure | Breakdown | Value | Source |
|---|---|---|---|
| Subjects | total the Data Description page gives the same total | 1,629 | zuo2014 Abstract |
| Subjects | condition=healthy described as typical individuals | 1,629 | zuo2014 Abstract |
| Subjects | contrast=bold resting-state fMRI data from every individual | 1,629 | zuo2014 Abstract |
| Scans | contrast=T1w listed as anatomical scans; every structural sequence in Table 2 of the paper is T1-weighted, but the table does not cover all sites on the page | 3,357 | corr-data-description |
| Scans | contrast=bold resting functional scans; the paper gives the same number in the Abstract | 5,093 | corr-data-description |
| Scans | contrast=dwi | 1,302 | corr-data-description |
| Scans | contrast=asl listed as CBF and ASL scans | 300 | corr-data-description |
Sources
The keys used in the table above.
- zuo2014 Zuo et al. 2014, Scientific Data (data descriptor) paper
- corr-data-description CoRR Data Description page, FCP/INDI (dataset and scan totals, site list) website