mask for statistical analysis

Dear all,

In the statistical analysis, we need to choose a binary mask.

What kind of binary masks I can apply? If I turn to the group-wise GM mask, it seems there're too many comparisons, leading to failure in the tfce+fwe correction (p<0.05).

Can I use the |Z|>2 of the Z map as the binary mask instead to reduce the number of comparisons?

 

Thanks!

 

REST-meta-MDD excluded subjects

Dear Experts,

Thank you very much for providing the REST-meta-MDD data in such a usable format to the community.

I have been working with this data and I have noticed that in your reference paper (https://www.pnas.org/content/116/18/9078) several subjects have been excluded because of image quality issues (bad data, bad normalization, bad masking, etc.).

I was wondering if there is a list available somewhere of these participants with problematic data, so that they can be excluded without having to reinspect the whole dataset.

Thank you very much.

DPARSF Cov_regression produces weired images

Dear Dr. Yan,

I am using DPASFA v4.3 to run resting-state image, within the step : ARSWDCF. The detrended images are good, but something goes wrong after the regression.  Bellowing are the settings I used, the Detrended image, and Detrended + Covregessed .  If I put the cov_regressed images into ICA, it will produce even more weird results.   

How to use the first eigenvariate to calculate in the functional connectivity of resting state fMRI.

When we used the seed-based ROI to calculate functional connectivity, the methods is “A seed reference time course was obtained within each ROI. Correlation analyses were conducted on the seed reference and the whole brain in a voxelwise manner for each ROI”. Recently, our article which used this methods was advised by the reviewers to use the first eigenvariate instead of a seed reference time course. Our question is how to use the first eigenvariate to calculate in the functional connectivity of resting state fMRI. 
 

尊敬的老师,dpabi做的预处理是单个被试跑的

尊敬的老师,dpabi做的预处理是单个被试跑的,因为每个被试的bold层数有差别,TR是一样的,那么我这批患者跑完之后怎么能形成一样组水平的groupmask呢,谢谢

尊敬的老师,dpabi统计加绝对值mask怎么加

尊敬的老师,您好,dpabi VBM统计加绝对值0.2怎么加,谢谢

用dpabi处理被试灰质时smooth出现错误

严教授:

       您好!我在用dpabi处理灰质时,出现smooth错误,但是并没有在报错时说明原因,这咋办,望指点,谢谢!

相关设置以及报错图片如下。

祝好!

崔志霞

ReHo值的提取问题

您好,老师
我之前用DPARSF已经做了预处理,得到了以szReHoMap开头命名的文件,并且对两组不同的人群做了双样本t检验,找出了一些差异性脑区。我接下来的目的是想在这些有差异的脑区中,分别提取两组人群的ReHo值,方便我进一步与我其他的行为指标进行相关性分析之类的操作。
提取ReHo值这一步我实在搞不明白了,特向老师请教,希望能够得到老师的帮助。谢谢~

扫描不完整的影像图像计算问题

各位老师好,我有一批影像数据,扫描时顶叶没有cover全,那么用DPABI进行流程化操作计算DC时,这部分脑区是否还是参与了DC指标的计算?如何解决这一问题呢?

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