Creating mask of significant difference ROIs from ttest

Submitted by FaezeVedaei on

Hi

 

I did two-sample ttest using statistics tool and got the list of clusters after multiple comparison correction (FDR correction). I just could not find the way to create specific masks for the regions survived multiple comparison correction. Can you please guide me how I can do this?

Thank you

Faeze

Error using DPARSFA_run (line 819) Index exceeds the number of array elements (0).

Submitted by gerardyu on

Hi there, 

Thie above error seems to appear after the slice timing was completed successfully. I've checked that

1. all the subject folders have .nii file in the FunImgA directory

2. all of these .nii files have the same time point

3. all the subject folders have a .nii file in the T1Img directory

it would seem that the next step is the field map correction

i have the following field map files within the FieldMap directory for all subjects:

FieldMap/Magnitude1Raw/002/Mag1.nii

FieldMap/Magnitude2Raw/002/Mag2.nii

Statistics information after multiple comparison correction

Submitted by FaezeVedaei on

Hi 

I just wanted to ask if there is a way to get detail information about significant clusters, name of the regions in each cluster, the coordinatin, p-value, t-stat and other information after applying multiple comparison correction in DPABI, viewer?

I already did some statistical tetsts including two-sample and one-sample ttest. But need to get information from the result. I really appreciate it if you guide me to do that.

 

Thanks

Faeze

Brain Imaging Sharing Initiative (BISI)

Submitted by YAN Chao-Gan on
The Brain Imaging Sharing Initiative (BISI) platform (http://bisi.org.cn or http://bisi.cstcloud.cn:8080) is funded by the 13th Five-year Informatization Plan of Chinese Academy of Sciences (grant number: XXH13505), supported by the Computer Network Information Center, Chinese Academy of Sciences and China Science & Technology Cloud. The platform was constructed and maintained by the R-fMRI Lab led by Dr.

静息态Normalize报错!

Submitted by yfw1988 on

严老师:

您好,我这两天在做静息态预处理时,Normalize无论选择by using EPI templates 还是by DARTEL时,都会报错,不知道是什么原因,希望老师能够帮我找找原因。设置参数和错误代码如图所示,使用的是DPABI_5.1 和SPM12b。

ANCOVA Post-hoc分析两组间比较多重比较校正GRF

Submitted by Wayne_ on

严老师:

您好!

我用DPABI统计工具箱中的ANCOVA做三组间的方差分析,并选用tukey-Kramer进行post-hoc分析。之后再对两组间的统计结果(比如F_PariwiseDiff_Z_G1vsG2.nii)进行多重比较校正以观察两组间的统计显著区域,在多重比较校正阶段,我对两组间的Z图选用GRF(位于DPABI_VIEW工具中),但发现无法正确估计FWHMx/y/z以及dLh,这些指标估计出来都是Nan,前面ANCOVA的结果也是利用DPABI计算的。请问老师这样操作是否有问题以及有何建议?

谢谢老师!

关于smooth的问题

Submitted by spl on

各位老师好:

最近在用dparsf进行rs-fMRI的处理,第一次处理时smooth选择了smooth derivatives,但这种情况下获取的平均时间序列是没有进行smooth处理的,所以第二次我在FunImgARCWF的基础上进行smooth处理,但smooth时不知为何会对部分被试进行多次的smooth,获取的有s*,ss*,sss*的数据,请问这是怎么回事呢?我是在Linux服务器上,采用DPARSFA_run函数,对设置好的batch文件进行处理的,请问各位老师,这种情况该怎么处理呢?

 

还有不知为何在服务器上运行速度特别慢,烦请老师看一下,我采用的代码是否有问题呢?
 
mpirun -np 32 matlab -nodisplay -nosplash -logfile 'batch1.log'\ -r "addpath(genpath('/public1/data/DPABI'));DPARSFA_run('/public1/data/fMRI/20210128_power_global_script.mat')"