Dear all,
We are pleased to announce the release of DPABI V1.2, DPARSF V3.1 and The R-fMRI Course V2.0 Part 2.
DPABI_V1.2_141101 and DPARSF_V3.1_141101:
1. DPARSF Basic Edition: Fixed a bug of missing DPARSF_run.
2. DPARSF: Fixed a bug that can not find ROI templates.
3. DICOM Sorter: Fixed a bug - “Add All” button doesn’t work.
4. DPABI Viewer: Fixed a bug when execute GRF or AlphaSim correction.
5. DPABI ROI Signal Extractor: New module added to DPABI->Utilities.
6. y_AlphaSim: Modified by Katharina Wittfeld -- moved the masking step in the code and also inserted several smaller edits, please click here to see the bug post.
7. Test-Retest Reliability: Intraclass Correlation Coefficient (ICC). New module added to DPABI->Utilities. Three ICC algorithms are supported: ANOVA Model, ReML Model and Linear Mixed Models. The algorithms are based on Dr. Xi-Nian Zuo and his colleague’s work. Please cite Dr. Zuo’s work as detailed in each function.
Please visit http://rfmri.org/DPABI.
The R-fMRI Course V2.0 Part 2:
The R-fMRI Course was firstly released on July 15, 2009. During the past 5 years, the course was kept updating, and received 77,437 views. Here, I'm glad to release Part 2 of The R-fMRI Course V2.0 covering the basic concepts of data processing of R-fMRI and usage of DPARSF Basic Edition. Please visit http://rfmri.org/Course.
Best,
Chao-Gan YAN
on behalf of
the DPABI Team