Enhanced CoRR-Beijing Normal University 2

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. This data is part of the Neo-Spearman Project (NSP) at Beijing Normal University, and was originally used to evaluate the reliability of data acquired in NSP. It includes 61 healthy young adults (19-23 years old), who were scanned twice separated by at least three-months (103 days). Two modalities (T1/EPI) of brain images were acquired for all subjects. During scanning, subjects were presented with a blank screen and instructed to lie still, keep their eyes closed, relax and move as little as possible, also avoid any structured mental activity such as counting.