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Vlad Drobinin edited this page Aug 5, 2021 · 2 revisions

Consortium for Reliability and Reproducibility (CoRR)

Description:

The goal of CoRR was to create an open science resource for the imaging community that facilitates the assessment of test-retest reliability and reproducibility for functional and structural connectomics. In order to accomplish this, we have aggregated resting state fMRI (R-fMRI) and diffusion imaging data from laboratories around the world, and are sharing the data via the International Neuroimaging Data-sharing Initiative (INDI). This enables the:

  1. Establishment of test-retest reliability and reproducibility for commonly used MR-based connectome metrics
  2. Determination of the range of variation in the reliability and reproducibility of these metrics across imaging sites and retest study designs
  3. Creation of a standard/benchmark test-retest dataset for the evaluation of novel metrics

CoRR includes 33 datasets, of which 32 are currently available for download, consisting of:

  • 1629 Subjects
  • 3357 Anatomical Scans

Citation: Zuo, X.-N. et al. An open science resource for establishing reliability and reproducibility in functional connectomics. Sci Data 1, 1–13 (2014).

Data access:

  • Phenotypes and individual sites available at fcon_1000 nitrc website
  • Avail through cyberduck portal, FreeSurfer 6.
  • Processed LGI internally.
  • CORR/Outputs/fmriprep/fmriprep
    • N = 4285 | BIDS: 1.1.1 | fMRIPrep: 1.2.5 (Dec 2018)
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