Current Location:home > Detailed Browse

Article Detail

DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging


Brain 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.
Download Comment Hits:9532 Downloads:3280
Recommended references: Chao-Gan Yan,Xin-Di Wang,Xi-Nian Zuo,Yu-Feng Zang.(2017).DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.Neuroinformatics.doi:10.1007/s12021-016-9299-4 (Click&Copy)
Version History
[V1] 2017-11-06 10:29:10 chinaXiv:201711.00276V1 Download
Related Paper


Current Browse

Change Subject Browse

Cross Subject Browse

  • - NO