Hey,
is it possible to calculate an averaged power spectrum of all BOLD-Signals in a region of interest?
Thanks,
Marius
Dear Experts
Hi
I am trying to find the path coefficients between eight DMN regions and my study onsists of 8 patients and 8 controls.By following the GCA tutorial I put my subjects in a folder with "subject001,subject002..." subfolders,however, as I wanted to add the data directory the following error showed up:
求教各位老师，
我先做了某个ROI voxel wise的功能连接后，将全组人这个ROI的FC和某个认知任务的的得分做了相关分析。为什么得出的数据格式是.nii， 我以前做出来的都是.img 和.hdr两个文件？是不是哪里出错了？
谢谢各位老师指教！
各位老师和同学：
我对扫描参数一直了解不多，最近在写论文时有一些困惑，问题如下：
1. REST的旋转角记录的是标准角，请问标准角是指多少度呢？
2. T1的旋转角记录的是矢状位，这个又是多少度呢？
3. 我们数据的TR是2530（在北师大采的数据），但我看很多研究里面T1的TR是7-8ms，而另一部分则是1000-3000ms，为什么差别这么大呢？
提前感谢！
Dear Experts
Hi
How could I extract peak voxel time series?
Many thanks in advance.
Best,
mahsa
Dear Experts
Hi
I have identified DMN using ICA algorithm and I would like to examin effective connectivity using GCA.
As far as I know unlike functional connectivity,effective connectivity is presented as a set of nodes (regions) and edges. How should I specify nodes and edges?How could I obtain path coefficients?
Many thanks in advance.
Cluster 7 Number of voxels: 287 Peak MNI coordinate: -3 -24 51 Peak MNI coordinate region: // Left Cerebrum // Frontal Lobe // Medial Frontal Gyrus // Gray Matter // brodmann area 6 // Paracentral_Lobule_L (aal) Peak intensity: 4.0519 # voxels structure 287
--TOTAL # VOXELS-- 241 Frontal Lobe
155 Right Cerebrum
136 Gray Matter
127Paracentral Lobule
124 Left Cerebrum
107 Medial Frontal Gyrus
92 White Matter
81 brodmann area 6
64 Cingulum_Mid_R (aal)
57 Supp_Motor_Area_L (aal)
52 Supp_Motor_Area_R (aal)
37 Paracentral_Lobule_L (aal)
36 Cingulum_Mid_L (aal) 35 Paracentral_Lobule_R (aal)
34 brodmann area 31
33 Limbic Lobe
28 Cingulate Gyrus
17 Sub-Gyral
11 brodmann area 5 10 brodmann area 24 8 Inter-Hemispheric 5 Parietal Lobe 4 Precuneus_R (aal)
各位老师好！
老师好！请问下，matlab报的这个错误，该怎么解决。万分感谢
Hello DPARSFA researchers,
I'm working with two different subject populations - one which has 31 rfMRI slices and 240 time points and one which has 36 slices and 300 time points. There are a couple of patients who have different numbers of slices as well (e.g., 32 and 33). So far, I've run: