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DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging
Yan, Chao-Gan1,2,3; Wang, Xin-Di4,5; Zuo, Xi-Nian1,2; Zang, Yu-Feng6,7,8
AbstractBrain imaging efforts are being increasingly devoted to decode the functioning of the human brain. Among neuroimaging techniques, resting-state fMRI (R-fMRI) is currently expanding exponentially. Beyond the general neuroimaging analysis packages (e.g., SPM, AFNI and FSL), REST and DPARSF were developed to meet the increasing need of user-friendly toolboxes for R-fMRI data processing. To address recently identified methodological challenges of R-fMRI, we introduce the newly developed toolbox, DPABI, which was evolved from REST and DPARSF. DPABI incorporates recent research advances on head motion control and measurement standardization, thus allowing users to evaluate results using stringent control strategies. DPABI also emphasizes test-retest reliability and quality control of data processing. Furthermore, DPABI provides a user-friendly pipeline analysis toolkit for rat/monkey R-fMRI data analysis to reflect the rapid advances in animal imaging. In addition, DPABI includes preprocessing modules for task-based fMRI, voxel-based morphometry analysis, statistical analysis and results viewing. DPABI is designed to make data analysis require fewer manual operations, be less time-consuming, have a lower skill requirement, a smaller risk of inadvertent mistakes, and be more comparable across studies. We anticipate this open-source toolbox will assist novices and expert users alike and continue to support advancing R-fMRI methodology and its application to clinical translational studies.
KeywordData Processing Quality Control Resting-state Fmri Standardization Statistical Analysis
Indexed BySCI
Funding OrganizationNational Basic Research (973) Program(2015CB351702) ; Hundred Talents Program of the Chinese Academy of Sciences(Y5CX072006 ; Beijing Municipal Science & Technology Commission ; CAS K.C. Wong Education Foundation ; "Qian Jiang Distinguished Professor" program ; Y2CS112006)
WOS Research AreaComputer Science ; Neurosciences & Neurology
WOS SubjectComputer Science, Interdisciplinary Applications ; Neurosciences
WOS IDWOS:000377813900008
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
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Cited Times:443[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, 16 Lincui Rd, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Psychol, Magnet Resonance Imaging Res Ctr, 16 Lincui Rd, Beijing 100101, Peoples R China
3.NYU, Sch Med, Langone Med Ctr, Dept Child & Adolescent Psychiat, New York, NY 10016 USA
4.Beijing Normal Univ, State Key Lab Cognit Neurosci & Learning, Beijing 100875, Peoples R China
5.Beijing Normal Univ, IDG McGovern Inst Brain Res, Beijing 100875, Peoples R China
6.Hangzhou Normal Univ, Ctr Cognit & Brain Disorders, Hangzhou, Zhejiang, Peoples R China
7.Zhejiang Key Lab Res Assessment Cognit Impairment, Hangzhou, Zhejiang, Peoples R China
8.Hangzhou Normal Univ, Dept Psychol, Coll Educ, Hangzhou, Zhejiang, Peoples R China
Recommended Citation
GB/T 7714
Yan, Chao-Gan,Wang, Xin-Di,Zuo, Xi-Nian,et al. DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging[J]. NEUROINFORMATICS,2016,14(3):339-351.
APA Yan, Chao-Gan,Wang, Xin-Di,Zuo, Xi-Nian,&Zang, Yu-Feng.(2016).DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.NEUROINFORMATICS,14(3),339-351.
MLA Yan, Chao-Gan,et al."DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging".NEUROINFORMATICS 14.3(2016):339-351.
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