中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Eyes-Open/Eyes-Closed Dataset Sharing for Reproducibility Evaluation of Resting State fMRI Data Analysis Methods

文献类型:期刊论文

作者Liu, Dongqiang1; Dong, Zhangye2; Zuo, Xinian3; Wang, Jue1,2; Zang, Yufeng1,2
刊名NEUROINFORMATICS
出版日期2013
卷号11期号:4页码:469-476
关键词Resting state fMRI measures Reproducibility Data sharing Eyes open Eyes closed
ISSN号1539-2791
产权排序3
通讯作者Liu, DQ (reprint author), Hangzhou Normal Univ, Ctr Cognit & Brain Disorders, Hangzhou 310015, Zhejiang, Peoples R China.
英文摘要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.
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
学科主题Physiological psychology/Biological Psychology
类目[WOS]Computer Science, Interdisciplinary Applications ; Neurosciences
研究领域[WOS]Computer Science ; Neurosciences & Neurology
关键词[WOS]SPONTANEOUS BRAIN ACTIVITY ; FUNCTIONAL CONNECTIVITY ; DEFAULT MODE ; NETWORK ; MRI ; OSCILLATIONS ; AMPLITUDE ; CLUSTERS ; DISEASE ; REGIONS
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).
原文出处http://download.springer.com/static/pdf/411/art%253A10.1007%252Fs12021-013-9187-0.pdf?auth66=1423707825_7dbd9be3d29c3a8b467de0a682011b16&ext=.pdf
语种英语
WOS记录号WOS:000325767100006
源URL[http://ir.psych.ac.cn/handle/311026/10833]  
专题心理研究所_中国科学院行为科学重点实验室
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
推荐引用方式
GB/T 7714
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.(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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来源:心理研究所

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