DPABI/DPABISurf/DPARSF

关于slice timing阶段的问题

Submitted by spl1234 on

各位老师,你们好:

我在用DPARSF进行预处理的时候遇到了一个问题:

实验数据大部分被试的slice number = 33,TR = 2s,然而在数据中存在一小部分被试的slice number = 38,TR = 2.303s,我想请问一下,这样该怎么处理呢?我可以将这个数据按照slice number = 33,TR = 2s和slice number = 38,TR = 2.303s分为两组然后分开进行slice timing步骤的处理,再将时间校正后的两组数据合起来进行余下的预处理步骤吗?还是说两组数据所有的预处理步骤都需要分开做呢?想请问一下这两种方式哪个是正确的呢?

 

The R-fMRI Course V3.0 Is Released

Submitted by YAN Chao-Gan on
Dear Colleagues, 
 
We are pleased to announce the release of The R-fMRI Course V3.0 (http://rfmri.org/Course)!
 
The R-fMRI Course V3.0 is a major update since V2.1. The R-fMRI Course V3.0 systematically introduces the principles of resting-state fMRI (R-fMRI), current research, methodological issues, computational platform and its applications to brain disorders.

关于提取ROI时间序列的疑问

Submitted by lizhe8785 on

老师们,您好!

1、我想确认一下我这样做是否得到正确的功能连接矩阵:我用DPABI做完预处理,对“FunImgARWSDFCB”文件夹exact ROI time courses,以aal为mask,得到的ROICorrelation_***.txt就是功能连接矩阵吗?是不是可以将此txt文件放入GRETNA-Network Analysis做拓扑属性分析了?

2、我用aal为mask提取ROI时间序列,“ROICorrelation_***.txt”显示为116*116的矩阵;但用Power264作为mask,所有被试的“ROICorrelation_***.txt”只显示一个 1.0000000000000000e+00 ,请问是什么原因呢?

万谢!

analyzing output from xcpengine

Submitted by Danella on

Hi Chao-Gan,

I am conducting analyses using fmriprep and xcpengine, and I would like to use DPARSF to extract ROI time courses and compute seed-based functional connectivity. When I enter the fully preprocessed images into DPABI, I encounter the following error. Do you have any ideas about what I might try? Thanks!

Best,

Danella

 

 Error using file_array/subsref>multifile2mat (line 179)

Failed 'Coregister: Estimate' Index exceeds matrix dimensions.

Submitted by kissalladin on

Dear Chaogan 

I am a new user of the toolbox. When I try to run the code, I got the following error during coregistering. Could you help me out. I have double check the original files in FunImg (3D hdr nii images) and T1Img. By the way, I am Mac system user. 

Thanks for your time. 

Best 

Adams 

============================== here is the error information ================================