ZangYF Group's CVs

Global mean regression removes all voxels?

Hi, I have been using DPARSFA for preprocessing and it has been working very well so far. I tried to remove the Global Signal nuisance regressor, but after doing so my data has no voxels left -- i.e., when I enter it into a first-level model in SPM, and estimate the model, I get this popup message:
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No inmask voxels - empty analysis!
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头动被试的处理方法

各位老师好!最近在处理一批病人的数据,头动较大(放宽至3mm和3°)的被试比较多,但是被试的总体数量又比较少。想请问一下各位老师有没有对头动的被试的处理的方法。
暂时有两个想法:1.去掉头动较大的时间点。2.不去头动的被试,最后将头动作为协变量去掉。暂时只是这样想,还没有找到文献的依据,不知道具体可不可行,还请老师指点,多谢!

should i change the voxel size 3 3 3 fixed in dparsf to 2 2 2, that is fixed in SPM 8 when default mode ?

Hi, admistrator  
first, above all,  thank you for providing your program 

Our researchers have studied ADHD adolescent and their brain activity used in fMRI.
Our study is block design and I have analysed this by using SPM8.

Forums: 

去线性漂移出错

严老师,我在用dparsf时有warning和报错如下,请您指导一下是哪块出了问题
Warning: Invalid escape sequence appears in format string. See help sprintf for valid
escape sequences.
> In rest_detrend at 24
  In DPARSFA_run>(parfor body) at 2265
  In parallel_function at 469
  In DPARSFA_run at 2264
  In DPARSFA>pushbuttonRun_Callback at 1579

SPM vs. DPARSF: order of steps and how do I remove nuisance covariates before extracting seed time courses (is code accessible)?

Dear DPARSF team,

I have analysed my resting state data with two different approaches:

1. using the DPARSF toolbox

2. using in house scripts for Matlab/SPM. 

Interestingly the results are fairly the same expect that the t-values on group level are much higher in DPARSF (FWE .05 k10, tmax= 104,67,
(seed 51, 12, -27)) than for SPM (FWE .05 k10,  tmax=63.08(seed 51, 12, -27)). 

rest error

Warning: Escape sequence 'Z' is not valid. See 'help sprintf' for valid
escape sequences.
> In rest_detrend at 24
  In alff_gui>(parfor body) at 1279
  In parallel_function at 470
  In alff_gui>Detrend at 1269
  In alff_gui>btnComputeAlff_Callback at 309
  In gui_mainfcn at 96