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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.
Contribution Rank3
AbstractThe 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.
KeywordResting state fMRI measures Reproducibility Data sharing Eyes open Eyes closed
Subject AreaPhysiological Psychology/biological Psychology
2013
Language英语
Source PublicationNEUROINFORMATICS
ISSN1539-2791
Volume11Issue:4Pages:469-476
Subtype期刊论文
URL查看原文
Indexed BySCI
Project Intro.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 KeywordSPONTANEOUS BRAIN ACTIVITY ; FUNCTIONAL CONNECTIVITY ; DEFAULT MODE ; NETWORK ; MRI ; OSCILLATIONS ; AMPLITUDE ; CLUSTERS ; DISEASE ; REGIONS
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
WOS Research AreaComputer Science ; Neurosciences & Neurology
WOS SubjectComputer Science, Interdisciplinary Applications ; Neurosciences
WOS IDWOS:000325767100006
Citation statistics
Cited Times:50[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/10833
Collection中国科学院行为科学重点实验室
Corresponding AuthorLiu, DQ (reprint author), Hangzhou Normal Univ, Ctr Cognit & Brain Disorders, Hangzhou 310015, Zhejiang, Peoples R China.
Affiliation1.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
Recommended Citation
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,&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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