help

Results may be inaccurate. RCOND = 1.034803e-027

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

Forums:

Taxonomy upgrade extras:

双样本t检验异常信号

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!

Forums:

Taxonomy upgrade extras:

Regress out covariates

 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

Forums:

Taxonomy upgrade extras:

dparsf潜在的bug?

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 

Forums:

Taxonomy upgrade extras:

A problem of REST GCA 1.0 Beta

 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.

Forums:

Taxonomy upgrade extras:

Subscribe to RSS - help