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MCIC 数据集:来自精神分裂症临床研究的多模态、多站点脑影像数据共享资源库。

The MCIC collection: a shared repository of multi-modal, multi-site brain image data from a clinical investigation of schizophrenia.

机构信息

Department of Psychiatry, Massachusetts General Hospital, Building 120, Suite 101D, Charlestown, MA 02129-2000, USA.

出版信息

Neuroinformatics. 2013 Jul;11(3):367-88. doi: 10.1007/s12021-013-9184-3.

DOI:10.1007/s12021-013-9184-3
PMID:23760817
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3727653/
Abstract

Expertly collected, well-curated data sets consisting of comprehensive clinical characterization and raw structural, functional and diffusion-weighted DICOM images in schizophrenia patients and sex and age-matched controls are now accessible to the scientific community through an on-line data repository (coins.mrn.org). The Mental Illness and Neuroscience Discovery Institute, now the Mind Research Network (MRN, http://www.mrn.org/ ), comprised of investigators at the University of New Mexico, the University of Minnesota, Massachusetts General Hospital, and the University of Iowa, conducted a cross-sectional study to identify quantitative neuroimaging biomarkers of schizophrenia. Data acquisition across multiple sites permitted the integration and cross-validation of clinical, cognitive, morphometric, and functional neuroimaging results gathered from unique samples of schizophrenia patients and controls using a common protocol across sites. Particular effort was made to recruit patients early in the course of their illness, at the onset of their symptoms. There is a relatively even sampling of illness duration in chronic patients. This data repository will be useful to 1) scientists who can study schizophrenia by further analysis of this cohort and/or by pooling with other data; 2) computer scientists and software algorithm developers for testing and validating novel registration, segmentation, and other analysis software; and 3) educators in the fields of neuroimaging, medical image analysis and medical imaging informatics who need exemplar data sets for courses and workshops. Sharing provides the opportunity for independent replication of already published results from this data set and novel exploration. This manuscript describes the inclusion/exclusion criteria, imaging parameters and other information that will assist those wishing to use this data repository.

摘要

现在,通过在线数据存储库(coins.mrn.org),科学界可以访问经过精心收集、精心整理的数据集,这些数据集包含精神分裂症患者和性别、年龄匹配对照者的全面临床特征以及原始结构、功能和弥散加权 DICOM 图像。由新墨西哥大学、明尼苏达大学、马萨诸塞州综合医院和爱荷华大学的研究人员组成的精神疾病和神经科学发现研究所,现更名为思维研究网络(MRN,http://www.mrn.org/),进行了一项横断面研究,以确定精神分裂症的定量神经影像学生物标志物。跨多个站点进行的数据采集,允许整合和交叉验证来自独特的精神分裂症患者和对照者样本的临床、认知、形态计量和功能神经影像学结果,使用跨站点的通用方案。特别努力招募处于疾病早期、症状开始时的患者。慢性患者的病程采样相对均匀。这个数据存储库将对以下人员有用:1)可以通过进一步分析该队列和/或与其他数据结合来研究精神分裂症的科学家;2)计算机科学家和软件算法开发人员,用于测试和验证新的注册、分割和其他分析软件;3)神经影像学、医学图像分析和医学成像信息学领域的教育工作者,他们需要课程和研讨会的范例数据集。共享为独立复制该数据集和新探索的已有发表结果提供了机会。本文档描述了纳入/排除标准、成像参数和其他信息,这些将有助于那些希望使用此数据存储库的人员。

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