DPABI/DPABISurf/DPARSF

请教关于ANOVA和AlphaSim校正的问题

Submitted by mitaomian on
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DPABI/DPABISurf/DPARSF
严老师： 
   您好, 我最近刚开始接触fMRI，听了很多遍您的讲课视频，但还是有几个困惑，还希望严老师能在百忙之中帮忙解答： 
 
    一、用最新版DPABI对三组数据进行ANOVA分析时，同时进行了post-hoc，您在最新的视频教程里说到post-hoc是已经经过校正的，那么在看ANOVA结果时P值如果选择0.05的话，再看post-hoc结果时，P值是用0.05还是0.016 (0.05/3)呢？ 
   二、进行Alphasim校正时，您说现在Voxel P value应该是0.001，那么在看Al

Error in ANCOVA analysis

Submitted by yangqifang on
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DPABI/DPABISurf/DPARSF
 严老师，您好：
         我使用DIPABIV2.2版本做三组ALFF的ANOVA时，加了灰质图像做协变量(fig1），使用的WC1，并重采样3 3 3，MASK用的灰质模板61*73*61(设置j界面fig2)。运行时显示有如下错误提示，View里结果显示很奇怪（fig3）。
同样的数据，做了两个双样本T检验（group1和group2，group2和group3），同样会有这个错误代码的提示，但View显示结果正常。rest时间点144，每个被试结构像176层。
 
希望得到严老师帮助，不吝感谢！

PALM(permutation test)

Submitted by kato7kato7 on
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DPABI/DPABISurf/DPARSF

Dear experts

I did a correlation analysis with PALM. Setting of PALM is 5000 permutations, cluster forming threshold 2.3, TFSE, gamma approximation. And I got results which are uploaded. 

To explore the results, I used DPABI Viewers. To interpret the results, How should I set the parameter including P -value in "overlay configure?" And what's the exact difference among R_clustere_rstat, R_tfce_rstat and R_vox_rstat? does the setting of parameter in overlay configure vary according to R_clustere_rstat or R_tfce_rstat or R_vox_rstat? 

smoothing reho

Submitted by Matteo85 on
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DPABI/DPABISurf/DPARSF
Hi experts, I'm running a reho analysis. I want to smooth my data at 6x6x6. I select the 'smooth reho' option instead of the above one, in order to smooth after reho calculation. I also want to use the 4d filtered outputs in FunImgARCWF folder for other purpose. Will these outputs be properly smoothed as well? Thanks for your time and expertise

Error in extracting ROISignals

Submitted by hbaetschmann on
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DPABI/DPABISurf/DPARSF

Hi Chao-Gan,

There is a problem with masks containing NaN-values. Because Matlabs function 'unique' handles each NaN-value as a distinct value, in a multilabel ROI-defining mask with NaN-values each mask voxel with the value NaN is considered as a separate ROI. This situation can lead to maximum size exceeding errors when calculationg the covariance matrix.

I recommend to modify in the function y_ExtractROISignal the line 197  

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