DPABI/DPABISurf/DPARSF

尊敬的严老师及其他各位老师：大家好！我近期在进行全脑区功能连接分析过程中有些问题想请教一下各位专家。我想用的AAL模板（61*73*61）进行全脑区功能连接，使用的是DPARSF软件，选择extract ROI signal分析过程。分析过程中将AAL模板（61*73*61）选入到define ROI之后没有得到相应的相关矩阵，得到的ROICorrelation_subXXX文件只有一个数值1，详见附件ROICorrelation_sub001.txt。想请教一下这是什么原因？有无解决办法？希望您有时间时能够给予回复。非常感谢。

尊敬的严教授：

您好，最近在用dpabi做preprocessing的时候，遇到了一些问题，希望寻求到您的解答和帮助。

matlab2016a，dpabi4.2.

数据resting，TR=2s，time point=185。按照图中将各项参数输入进去进行preprocessing，run。Slice timing完成之后，在realign部分出现了问题，显示time point number doesn’t match，所有的被试都出现了这个问题（虽然图中的被试数量多一些，但在真正run的时候，只放进去4个被试的数据）。

我挨个检查了所有被试的TR和time point，都没有问题，所有数据都是TR=2s，time point=185。

我浏览了forum，发现有位老师也遇到了此问题，他将time point换成了rp文件中的行数，就可以run了。我检查了运行得出的每个被试的rp文件行数，是370行，与time point不匹配。然而，当我尝试将time point修改为370时，它提示我图像的time point和填入的数字不匹配。

老师们好，我在安装docker后，用的时候遇到以下的问题。我根据b站上的安装视频操作后依然是这个报错。

 Dear Prof. Yan

I would like to write a 3-dimensions array (61*73*61) with many numbers with less than 1 into a .nii format file using Header of AAL3_61x73x61_YCG.nii. However, the numbers in  the array seems to be rounded down after writing to a .nii file. It seem to be the problem of the Header. 

Do you have an effective solution to this problem?

Best wishes,

Zeqiang Linli

Hello, Dear experts: 

  I am new to fMRI analysis. I want to know, when doing the normalised procressing, i.e., warped the resting nii map into MNI space, which way the DPABI used, nonlinear warping or linear warping?  

  Thank you very much!

Dear teachers,

I performed mixed effect analysis in DPABI for my data (higher subgroup vs. lower subgroup )*two conditions (A pic  vs. B pic). And  I found that there is error report when I apply GRF correction for M_Interaction_F.nii created in the analysis as shown in the picture below. How to deal with it? Thank you!

Dear experts,

Thank you for creating this wonderful software. I have been finding it to be very useful!

I have a study with uneven group sizes (40 patients, 70 controls), which has caused a reviewer some concerns. My understanding is that other software packages (SPM, FSL) allow for the assumption of unequal variances to be specififed as a way to deal with this. Is this also true for DPABI, and if so which methods of correction would it apply to (GRF, permutation etc.)?

Thank you in advance,

Luke

Hi R-FMRI team,