Institutional Repository of Key Laboratory of Behavioral Science, CAS
| 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 Rank | 3 |
| Abstract | 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. |
| Keyword | Resting state fMRI measures Reproducibility Data sharing Eyes open Eyes closed |
| Subject Area | Physiological Psychology/biological Psychology |
| 2013 | |
| Language | 英语 |
| Source Publication | NEUROINFORMATICS
 |
| ISSN | 1539-2791 |
| Volume | 11Issue:4Pages:469-476 |
| Subtype | 期刊论文 |
| URL | 查看原文 |
| Indexed By | SCI |
| 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 Keyword | SPONTANEOUS BRAIN ACTIVITY ; FUNCTIONAL CONNECTIVITY ; DEFAULT MODE ; NETWORK ; MRI ; OSCILLATIONS ; AMPLITUDE ; CLUSTERS ; DISEASE ; REGIONS |
| WOS Headings | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| WOS Research Area | Computer Science ; Neurosciences & Neurology |
| WOS Subject | Computer Science, Interdisciplinary Applications ; Neurosciences |
| WOS ID | WOS:000325767100006 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.psych.ac.cn/handle/311026/10833 |
| Collection | 中国科学院行为科学重点实验室 |
| Corresponding Author | Liu, DQ (reprint author), Hangzhou Normal Univ, Ctr Cognit & Brain Disorders, Hangzhou 310015, Zhejiang, Peoples R China. |
| Affiliation | 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 |
| 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| WOS000325767100006.p（937KB） | 限制开放 | Apache License | Application Full Text | |||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment