cannot extract measures from sample matrices

Can anybody answer the query I posted below one week ago? I also neglected to mention that the error messages below are printed to the matlab terminal.

 

Liam.

 

Cell contents reference from a non-cell array object.

 

Error in GraphVar_getDialogData>check_StructureName (line 339)

if isscalar(handles.vpNamesNeo{2})

 

 

Error in GraphVar_getDialogData (line 82)

if(~check_StructureName(handles,forCalcFunc))

 

 

Error in GraphVar_calc (line 29)

Mismatch between coordinates of defined ROI and Matlab output

Hi everyone, I have the following problem: I tried to compute functional connectivity by using the 'Define ROI' button. As ROI I selected one of the Default ROIs (taken from Andrew-Hannas nodes of the DMN). This Region had the following coordinates: -6 52 2 (radius: 5). However, the following output in the Matlab command window does not fit these coordinates. See the following lines ...

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Question about Mixed effect analysis

严老师好, 

   我想请教下关于mixed effect analysis的问题。我想看下实验组和对照组治疗前后ALFF差异,做了mixed effect analysis, 其中interaction effect做出4个脑区。我又做了下每个组治疗前后各自的差异,实验组发现5个脑区,对照组发现7个脑区,这些脑区与之前的4个脑区不全相同。我的问题是,是否需要再单独做治疗前后配对样本t检验,还是重点放在interaction发现的4个脑区上就可以了?另外,mixe分析做出的group effect和condition effect意义是不是不大,是否还需要单独讨论?

   另外,提取时间序列时的“directory”应该选择预处理生成的那个文件夹呢?

   希望您能在百忙之中帮忙解答,谢谢您!

   祝好!

   米涛免

    

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cannot extract measures from sample matrices

I have read the GraphVar manual - it's all very clear. I want to get used to simply calculating and exporting graph measures using the Conn Matrix files in the sample workspace.  I have loaded just two of the files (to make it quicker) and chosen to calculate measures on the weighted matrices. I chose to extract the Weighted: Strength (UND) values. When I try to do this it just locks the screen and doesn't show anything else (i.e. progress bars). I don't receive any error messages. I have tried on other weighted measures and experience the same thing.

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The R-fMRI Wiki is designed to create a knowledge base for DPABI and DPARSF, and eventually for all the resting-state fMRI.

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