DOI: 10.57760/sciencedb.o00133.00088
title: Enhanced CoRR-University of Pittsburgh School of Medicine
title: 加强版“信度与可重复性联合体”—University of Pittsburgh School of Medicine

description: CoRR (Consortium for Reliability and Reproducibility) is committed to building an open platform for sharing resources of brain imaging science, aiming to provide standardized benchmarking datasets for test-retest reliability and reproducibility assessment in functional and structural connectomics research. To achieve this goal, CoRR integrated multimodal magnetic resonance imaging (MRI) datasets from multiple laboratories worldwide in 2014, based on which:1. Establish test-retest reliability and reproducibility standards for commonly used connectivity measurments using MRI methods;2. Clarify the reliability fluctuation range of the above measurements in different imaging stations and retesting schemes;3. Build a standardized retest MRI dataset to serve the validation of new connectivity measurements. Since 2024, an enhanced version of CoRR has been updated to enhance the neuropsychometrics on brain imaging assessments. Through standardized image preprocessing processes and the psychometric design expanded from a single retest to to 9 retests, and the raw MRI datasets have been aligned to a standard brain spaces. In addition, all preprocessed brain imaging data is open to the public through the Science Data Bank, providing standardized and unified data support and technical references. We believe that this open science practice will largely foster the transdisciplinary research of human neuroscience. Five minutes of resting-state data were collected at the end of an acquisition sequence consisting of structural and four runs of functional data. Data consists of 100 subjects with baseline and retest resting-state data, with 47 of these also possessing a second retest. Time between tests range from 473-1434 days. Instructions were to lie still and close eyes [or fixate] during the five-minute acquisition.
description: CoRR (Consortium for Reliability and Reproducibility) is committed to building an open platform for sharing resources of brain imaging science, aiming to provide standardized benchmarking datasets for test-retest reliability and reproducibility assessment in functional and structural connectomics research. To achieve this goal, CoRR integrated multimodal magnetic resonance imaging (MRI) datasets from multiple laboratories worldwide in 2014, based on which:1. Establish test-retest reliability and reproducibility standards for commonly used connectivity measurments using MRI methods;2. Clarify the reliability fluctuation range of the above measurements in different imaging stations and retesting schemes;3. Build a standardized retest MRI dataset to serve the validation of new connectivity measurements. Since 2024, an enhanced version of CoRR has been updated to enhance the neuropsychometrics on brain imaging assessments. Through standardized image preprocessing processes and the psychometric design expanded from a single retest to to 9 retests, and the raw MRI datasets have been aligned to a standard brain spaces. In addition, all preprocessed brain imaging data is open to the public through the Science Data Bank, providing standardized and unified data support and technical references. We believe that this open science practice will largely foster the transdisciplinary research of human neuroscience. Five minutes of resting-state data were collected at the end of an acquisition sequence consisting of structural and four runs of functional data. Data consists of 100 subjects with baseline and retest resting-state data, with 47 of these also possessing a second retest. Time between tests range from 473-1434 days. Instructions were to lie still and close eyes [or fixate] during the five-minute acquisition.