Dear Prfo. Yan and Colleagues,
Hi! There are NaN in the results of Concordance_VolumeWise in some subjects. How can I solve this problem? Thanks!
Best wishes,
Lotus
老师，您好：
最近在用DPARSF分析一组数据，在处理步骤上存在一些疑问：
1.请问在做scrubbing的时候，勾选了Head motion scrubbing regressors后，还需要在后面勾选Scrubbing吗？
2.请问在采用不同mask计算功能连接矩阵的时候，需要事先将不同模板进行配准么？DPARSF有做相应的处理么？
3.如果想要一个mask一个mask的计算功能连接矩阵的时候，我们的starting Directory Name是选择FunImgARCWSF吗？
4.因为在计算前已经勾选了Smooth，在计算完指标后是否还需要进行Smooth Derivatives呢？
还望老师百忙之中可以给予解答，十分感谢！！
Hello,
I am doing second-level rsfMRI analysis with fALFF data in ~530 participants and try to use PT with TFCE for multiple comparison. I´have a very basic problem: I didn't understand which file/folder to chose for 'Group Images' at the section statistical analysis of DPABI Toolbox.
I've already check the slides, which don't mention about input.
rfmri.org/content/permutation-test-dpabi website also doesn't give the clue.
Should I use fALFF maps? I would be happy to hear the right way to do it, before MATLAB would be unresponsive for hours..
老師您好!
想和您請教一下，
我的實驗設計是同一批人，在某一天做一特定介入的介入前以及介入之後的靜息態腦影像掃描(兩組掃描)，另外一天換成另外一項不同的介入，但是一樣是做介入前以及介入之後的靜息態腦影像掃描(另外兩組)
這樣的實驗設計，希望去分析比較全腦ReHo在兩種不同介入之後的差異，
(1)應該是以Paired-t test分別去比較兩天介入後減前的結果去解釋即可。另外，如果想證明不同天的介入前Baseline有無差異，則做兩天的Baseline之Paired-t test (如果這些結果均經過GRF correction，是否即可避免type I error?)
(2)或是應該做Mixed Effect Analysis 或是 ANCOVA 去分析4組數據的差異呢?
Hi,
at the moment, the coronal, sagittal and transversal images are not written in 300 dpi when saving them. Where can I adjust the script such that I can change the dpi of the images to 300 dpi?
thank you,
David
Hi,
When I tried to do the nuisance covariance regression in matlab 2018b, I got error as following:
Hi,
Regarding the function 'Extract ROI time courses' and defining a random atlases as AAL, Craddock or Dosenbach, the output MATLAB file 'ROISignals' does not have the matching dimmensions according to the choosen atlas. For example: choosing the AAL atlas (116 ROIs), the dimmensions of ROISignals.mat file for one specific patient should be 80 x 116 double instead of 80 x 100 double as it results.
This does not occur with all the data, and sometimes the file's dimmensions fit the atlas' dimmensions but it seems very random when it fits and when it does not.
Hello, thank you for the wonderful effort at packaging the surface and volume based processing pipelines into one package.
One quick request for the next update of the package - Please include the RSFA measure
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3310892/