Resting-state fMRI topics

大脑和行为之间的关系

各位老师好!
 
我想请教一下各位老师,在fMRI研究中,应该如何来做大脑和行为之间的关系。
 
1, 在一般的高分和低分极端组设计中,似乎通常的做法是这样的:对两个组进行独立样本t检验,对有差异的脑区即ROI提取平均值,比如ReHo的平均值,然后分别在高分组和低分组内做ROI提取的平均值与某个量表的Pearson相关。但是这样做的效果我得到的不是很理想。有时候得不到显著的结果。有时候得到的结果甚至和独立样本t检验的结果互相矛盾。比如,在高分组中发现某个脑区的ReHo值高于低分组,然后组内的Pearson分析竟然发现它的ReHo值与量表得分呈负相关。我觉得可能的原因在于由于在一个组内做分析,样本量太少导致的。
 

DPARSFA报错。

老师您好:
      我用DPARSFA caculate in MNI space (warp by DARTEL);准备好相应的T1RAW和FunRaw; 包如下错误:

Index exceeds matrix dimensions.

Error in DPARSFA_run>(parfor body) (line 223)
        if strcmpi(DirDCM(3).name,'.DS_Store')  %110908 YAN Chao-Gan,

Wrong ROI definition when extracting CSF/WM signal etc

Hello, I am receiving a bug when extracting the ROI signals (i.e white matter, CSF) for the nuisance covariates regression. The error appears after slice timing, realignment have been done. The error I received is below, I believe it is due to DPARSFA not being able to find the masks in the working directory. The error only appears with DPARSFA. My data was converted from DICOM --> NIFTI outside of DPARSF, then converted into spm format using freesurfers mri_convert to 208 indiviudal img files.

VMHC Error

Hi,

do you guys know what the problem is here?:
_____________________________________

Computing VMHC...
     Read 3D EPI functional images: "/SCR2/REST/FunImgsym/WY1K".
??? Error using ==> reshape
To RESHAPE the number of elements must not change.

Error in ==> y_VMHC at 75

DparsfA Error

 各位老师们,同学们:
       我是这方面新手,最近在学习中,我在安装DPARSF中,总是报错,工具包无法加入matlab中,已尝试了各个版本的DPARSF,均无效。
       我使用的是rest v1.7和spm5。
       DPARSF尝试打开,报错如下:

??? Attempt to reference field of non-structure array.
 
Error in ==> DPARSFA>btnSelectWorkingDir_Callback at 228

ALFF Error

Hi,

I get the following error message running the ALFF computation in DPARSF:
_________________________

Computing ALFF...
     Read 3D EPI functional images: "/SCR2/REST/FunImgCWS/WY1K".

     Load mask "".
     Performing FFT .............

Alphasim cluster size & uncorrected in spm

 First thanks you for your great work!! 

I performed a multiple regression analysis in SPM8 with a behavioral score as vector for a resting state task. 
Then I performed the Alphasim test with T treshold at 0.005 rmm at 3 (for 3x3x3) and here is my doubt.