help

Hi everybody,

When I'm regressing out covariates Matlab returns the following to me:

Warning: Matrix is close to singular or badly scaled.
Results may be inaccurate. RCOND = 1.034803e-027.
> In rest_RegressOutCovariates>Brain4D_RegressOutCovariables at 92
In rest_RegressOutCovariates at 54
In rest_RegressOutCovariates_gui>Run_Callback at 238
In gui_mainfcn at 96

您好，我用dparsf得到alff结果进行两样本t检验时发现还有脑室内的信号增强还有很多undefined的脑区（自己做的mask和brainmask均有），这时候应该怎么处理？
另外，利用两组数据单样本t检验结果做mask的表达式是不是(i1>0)+(i2>0)>0，用~表示不等于 image calculator出错，求准确表达式
不胜感激！

 I've just used the regress out covariates utility by following the online course material, however, I am confused by the output.  I was expecting another time series all with the suffix covremoved but instead all I get is a text file called Cov.txt ?  There were no error messages.  Where are the modified data?

Thanks
Anna

亲爱滴们：

今天碰到这样一个问题，焦头烂额：
由于这批数据需要手动配准，所以我的处理流程如下：
1. 用dparsf批处理至realign。
2.用spm做coregister.
3.用AFNI转换格式后做Normalize
4.转换个格式后，将得到的EPI相文件放入FunImgNormalized文件夹。
然后启动dparsf，
先跳过Smooth做的ReHo，很顺利，detrend, filter, reho...没有任何问题。
然后继续用dparsf做alff以及falff，操作过程如下：
    -matlab下输入dparsf
    -依次去掉smooth前所有的勾
    -选择工作目录
   - 输入时间点190
   - 选择自定义模板 

 I am running the Granger Causality Analysis script contained in the REST 2007 toolbox. Unfortunately, I am encountering some errors.

The value of the generated GCA Map  is zero in every voxel.

PubMed应该是大家用的最频繁的一个文章检索和发现工具了，不知道您有没有想过从PubMed看到一篇感兴趣的文章后，不仅自己看，而且还想从这篇Paper开始进行一番讨论/评论，这样不仅能加深自己对一篇Article的理解，也能从大家的讨论中来发现问题进而提出问题。

PubMed should be a most familiar tool to search and find our interested papers. If you do not only want to check an article from PubMed but also want to discuss or comment the article, I will show you the method below since discussion may strengthen our understanding of a paper and also push us to find a question and make a furthur step to promote a question.  

• Any questions you encountered with this site could be posted as a comment to this topic.
• Please feel free to explore this researching site. I hope it be a start point of your resting-state fMRI research interest.

One advice is reading “How To Ask Questions The Smart Way”.