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Eyes-Open/Eyes-Closed Dataset Sharing for Reproducibility Evaluation of Resting State fMRI Data Analysis Methods
Liu, Dongqiang1; Dong, Zhangye2; Zuo, Xinian3; Wang, Jue1,2; Zang, Yufeng1,2; Liu, DQ (reprint author), Hangzhou Normal Univ, Ctr Cognit & Brain Disorders, Hangzhou 310015, Zhejiang, Peoples R China.
心理所单位排序3
摘要The multi-scan resting state fMRI (rs-fMRI) dataset was recently released; thus the test-retest (TRT) reliability of rs-fMRI measures can be assessed. However, because this dataset was acquired only from a single group under a single condition, we cannot directly evaluate whether the rs-fMRI measures can generate reproducible between-condition or between-group results. Because the modulation of resting state activity has gained increasing attention, it is important to know whether one rs-fMRI metric can reliably detect the alteration of the resting activity. Here, we shared a public Eyes-Open (EO)/Eyes-Closed (EC) dataset for evaluating the split-half reproducibility of the rs-fMRI measures in detecting changes of the resting state activity between EO and EC. As examples, we assessed the split-half reproducibility of three widely applied rs-fMRI metrics: amplitude of low frequency fluctuation, regional homogeneity, and seed-based correlation analysis. Our results demonstrated that reproducible patterns of EO-EC differences can be detected by all three measures, suggesting the feasibility of the EO/EC dataset for performing reproducibility assessment for other rs-fMRI measures.
关键词Resting state fMRI measures Reproducibility Data sharing Eyes open Eyes closed
学科领域Physiological Psychology/biological Psychology
2013
语种英语
发表期刊NEUROINFORMATICS
ISSN1539-2791
卷号11期号:4页码:469-476
期刊论文类型期刊论文
URL查看原文
收录类别SCI
项目简介This work was supported by the National Natural Science Foundation of China (Grant No. 30770594) and the National High Technology Program of China (863) (Grant No. 2008AA02Z405).
WOS关键词SPONTANEOUS BRAIN ACTIVITY ; FUNCTIONAL CONNECTIVITY ; DEFAULT MODE ; NETWORK ; MRI ; OSCILLATIONS ; AMPLITUDE ; CLUSTERS ; DISEASE ; REGIONS
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
WOS研究方向Computer Science ; Neurosciences & Neurology
WOS类目Computer Science, Interdisciplinary Applications ; Neurosciences
WOS记录号WOS:000325767100006
资助机构National Natural Science Foundation of China [30770594] ; National High Technology Program of China (863) [2008AA02Z405]
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被引频次:67[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/311026/10833
专题中国科学院行为科学重点实验室
通讯作者Liu, DQ (reprint author), Hangzhou Normal Univ, Ctr Cognit & Brain Disorders, Hangzhou 310015, Zhejiang, Peoples R China.
作者单位1.Hangzhou Normal Univ, Ctr Cognit & Brain Disorders, Hangzhou 310015, Zhejiang, Peoples R China
2.Beijing Normal Univ, Natl Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
3.Chinese Acad Sci, Inst Psychol, Lab Funct Connectome & Dev, Key Lab Behav Sci, Beijing 100101, Peoples R China
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Liu, Dongqiang,Dong, Zhangye,Zuo, Xinian,et al. Eyes-Open/Eyes-Closed Dataset Sharing for Reproducibility Evaluation of Resting State fMRI Data Analysis Methods[J]. NEUROINFORMATICS,2013,11(4):469-476.
APA Liu, Dongqiang,Dong, Zhangye,Zuo, Xinian,Wang, Jue,Zang, Yufeng,&Liu, DQ .(2013).Eyes-Open/Eyes-Closed Dataset Sharing for Reproducibility Evaluation of Resting State fMRI Data Analysis Methods.NEUROINFORMATICS,11(4),469-476.
MLA Liu, Dongqiang,et al."Eyes-Open/Eyes-Closed Dataset Sharing for Reproducibility Evaluation of Resting State fMRI Data Analysis Methods".NEUROINFORMATICS 11.4(2013):469-476.
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