Consortium for Reliability and Reproducibility(CoRR) -Enhanced

CoRR (https://fcon_1000.projects.nitrc.org/indi/CoRR/html/index.html) 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. This enables the:1.Establishment of test-retest reliability and reproducibility for commonly used MR-based connectome metrics2.Determination of the range of variation in the reliability and reproducibility of these metrics across imaging sites and retest study designs3.Creation of a standard/benchmark test-retest dataset for the evaluation of novel metricsIn 2024, research focused on the reliability of magnetic resonance imaging (MRI) remains a central priority for our team. To enhance the comprehensiveness of brain imaging reliability assessment, we have consolidated single-site datasets into a large multi-site dataset comprising 23 sub-datasets from 11 different sites. We have standardized the preprocessing pipeline, expanded the measurement design from a single repetition to include 1 to 9 repetitions, and upgraded the selection of metrics from a single indicator to encompass both global and local measures. Notably, all preprocessed brain imaging data have been made publicly available through SciDB, offering valuable data and technical support for the evaluation of brain reliability.

缩写代号为CoRR的本项目（官网地址：https://fcon_1000.projects.nitrc.org/indi/CoRR/html/index.html）旨在打造面向脑影像领域研究者的开放科学资源平台，助力开展功能连接组学与结构连接组学领域的重测信度与可再现性评测工作。为此，我们整合汇集了来自全球多家实验室的静息态功能磁共振成像（resting state fMRI，简称R-fMRI）与弥散成像数据。依托上述数据集，可实现以下三类核心支撑目标：
1. 为常用磁共振成像基连接组学评测指标构建重测信度与可再现性评测标准；
2. 明晰上述指标在不同影像采集站点与重测研究方案下的信度与再现性波动区间；
3. 打造面向新型连接组学评测指标的标准化基准重测数据集。

截至2024年，磁共振成像（MRI）信度评测始终是我们团队的核心研究要务。为进一步拓展脑影像信度评测的覆盖广度与全面性，我们将原有单站点数据集整合为包含11个站点共23份子数据集的大型多站点数据集。本次工作中，我们标准化统一了脑影像预处理流程，将原有单一重复的测量设计拓展至多重复扫描模式（支持1至9次重复采集），并将评测指标体系从单一维度指标升级为覆盖全局与局部两类指标。值得一提的是，所有预处理后的脑影像数据现已通过科学数据库SciDB对外公开发布，可为脑影像信度评测提供宝贵的数据支撑与技术支持。

搜集汇总

背景与挑战

背景概述

该数据集目前尚未发布，页面中缺乏实质性内容和具体数据信息。相关推荐显示其可能属于脑成像和MRI研究领域，但当前数据集本身无可用数据。