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An open science resource for establishing reliability and reproducibility in functional connectomics
Xi-Nian Zuo1,2; Jeffrey S. Anderson3; Pierre Bellec4; Rasmus M. Birn5; Bharat B. Biswal6; Janusch Blautzik7; John C.S. Breitner8; Randy L. Buckner9; Vince D. Calhoun10; F. Xavier Castellanos11,12; Antao Chen2; Bing Chen13; Jiangtao Chen2; Xu Chen2; Stanley J. Colcombe11; William Courtney10; R. Cameron Craddock11,14; Adriana Di Martino12; Hao-Ming Dong1,15; Xiaolan Fu1,16; X.-N.Z.
2014
发表期刊Scientific Data
通讯作者邮箱zuoxn@psych.ac.cn
期号1页码:1-14
摘要

Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability to reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures are reported to have moderate to high test-retest reliability, the variability in data acquisition, experimental designs, and analytic methods precludes the ability to generalize results. The Consortium for Reliability and Reproducibility (CoRR) is working to address this challenge and establish test-retest reliability as a minimum standard for methods development in functional connectomics. Specifically, CoRR has aggregated 1,629 typical individuals’ resting state fMRI (rfMRI) data (5,093 rfMRI scans) from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI). To allow researchers to generate various estimates of reliability and reproducibility, a variety of data acquisition procedures and experimental designs are included. Similarly, to enable users to assess the impact of commonly encountered artifacts (for example, motion) on characterizations of inter-individual variation, datasets of varying quality are included.

DOI10.1038/sdata.2014.49
收录类别其他
语种英语
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被引频次:87[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/25599
专题社会与工程心理学研究室
通讯作者X.-N.Z.
作者单位1.Key Laboratory of Behavioral Science and Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Chaoyang, Beijing 100101, China.
2.Faculty of Psychology, Southwest University, Beibei, Chongqing 400715, China.
3.Division of Neuroradiology, University of Utah, Salt Lake City, Utah 84132, USA.
4.Phyllis Green and Randolph Cōwen Institute for Pediatric Neuroscience, the Child Study Center at NYU Langone Medical Center, New York, New York 10016, USA.
5.Center for Cognition and Brain Disorders, Hangzhou Normal University, Gongshu, Hangzhou, Zhejiang 311121, China.
6.Center for the Developing Brain, Child Mind Institute, New York, New York 10022, USA.
7.University of Chinese Academy of Sciences, Shijingshan, Beijing 100049, China.
8.State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Chaoyang, Beijing 100101, China.
9.Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Wuhou, Chengdu, Sichuan 610041, China.
10.Max Planck Research Group for Neuroanatomy & Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany.
11.Department of Neurology, Xuanwu Hospital, Capital Medical University, Xicheng, Beijing 100053, China.
12.State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Haidian, Beijing 100875, China.
13.Unité de neuroimagerie fonctionnelle, Centre de recherche de l’institut universitaire de gériatrie de Montréal, Université de Montréal, Montreal, Quebec, Canada H3W 1W5.
14.Department of Psychiatry, University of Wisconsin—Madison, Madison, Wisconsin 53719, USA.
15.Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, USA.
16.Institute of Clinical Radiology, Ludwig-Maximilians- University, 80336 Munich, Germany.
17.Centre for Studies on Prevention of Alzheimer’s Disease, Department of Psychiatry, Douglas Institute, McGill University Faculty of Medicine, Montreal, Quebec, Canada H4H 1R3.
18.Department of Psychology, Harvard University, Cambridge, Massachussetts 02138, USA.
19.Mind Research Network, Albuquerque, New Mexico 87106, USA.
20.Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York 10962, USA.
推荐引用方式
GB/T 7714
Xi-Nian Zuo,Jeffrey S. Anderson,Pierre Bellec,et al. An open science resource for establishing reliability and reproducibility in functional connectomics[J]. Scientific Data,2014(1):1-14.
APA Xi-Nian Zuo.,Jeffrey S. Anderson.,Pierre Bellec.,Rasmus M. Birn.,Bharat B. Biswal.,...&X.-N.Z..(2014).An open science resource for establishing reliability and reproducibility in functional connectomics.Scientific Data(1),1-14.
MLA Xi-Nian Zuo,et al."An open science resource for establishing reliability and reproducibility in functional connectomics".Scientific Data .1(2014):1-14.
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