Filtering changes the origin?

Hi DPARSF experts,

I have two questions concerning the filtering step of preprocessing. When I run filtering before normalization, the origin coordinates are moved away from the AC for some of my datasets (when I check "origin" with SPM's "Display" button)--which negatively impacts the ensuing steps. I could still do filtering after the normalization but: (1) does this make sense? and (2) why could this change in the origin be happening? I'm using DPARSFA V4.5_190725 on Matlab R2018b.

Thank you in advance,

Adriana

 

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t-test degrees of freedom

Hi you all,

I am using Matlab Version 2019a, and GraphVar 2.02. I am calculating group comparisons with 4 subgroups that arise when combining 2 factors (factor A and B) so that I am calculating e.g., A0 + B0 vs. A1 + B0. Hence, I have 6 comparisons in total. My total n is 211, but my subgroups have an n of 60, 47, 24, and 80, respectively.

Upon analyzing the output, I encountered two difficulties:

 

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DPARSFA4.3功能连接报错

严老师你好,在进行猴子的功能连接时出现报错如下图所示:

请问是没有配准么,怎么解决,感谢老师

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关于slice timing阶段的问题

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?

 

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DPARSF4.3(DPABI)预处理报错

严老师您好,我在用DPARSF4.3(DPABI)进行猴子数据预处理时出现报错。已经生成了T1ImgSegment文件夹,准备生成T1ImgSegmentCovs文件夹时(即已经完成分割后准备进行协变量去除时报错。报错如下,望您指正:

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Temporal Dynamic Analysis

Dear DPABI community,

I have some questions regarding temporal dynamic analysis. I have two groups of subjects, AD patients and healthy controls. I want to compare the patterns of dynamic r-fMRI indices and and their concordance.

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The R-fMRI Course V3.0 Is Released

Dear Colleagues, 
 
We are pleased to announce the release of The R-fMRI Course V3.0 (http://rfmri.org/Course)!
 

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The R-fMRI Course V2

 

 

The R-fMRI Course V2.1

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Error using tlstsq

Hi,

I repeatedly encounter an error, irrespective of measure, binary or weighted measures, and irrespective whether graph metrics are normalized with random networks. I attach the workspace I would prefer to use as well as the error code. :)

I would be very grateful for any help! :)

I am using MATLAB R2019a, we are calculating with 211 subjects. Here, I only selected 11 ROIs and 11 thresholds.

Thank you very much!

Marieke

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