seed based FC

各位好：

      运用DPABI 处理静息态fMRI 数据，得到了ReHo 图，双样本t检验得出两组差异脑区（岛叶），按照文献的做法，以差异脑区（岛叶）为种子点，做seed-based Functional Connectivity (FC),

DPABI一直报错

    我自己的做法如下；

     1.将差异脑区（岛叶）在DPABI VIEW 界面存为MASK

    2 进入DPARSFA界面 ，选择"Functional connectivity" 和“extract ROI time course”   弹出ROI tempalte 对话框，选择 Define other ROI, 弹出ROI list 对话框， 选择+Mask 选择  岛叶 mask.nii 文件

   但一直报错。

The regions showing altered volumes in smokers compared with healthy non-smokers were defined as ROIs. The averaged fMRI time series for total voxels of each ROI was considered
as the reference time series. RSFC analysis for each ROI was conducted between the averaged fMRI time series and every other voxel in the whole-brain for each individual’s
preprocessed data in a voxel-wise measure by the REST V1.8 software. 即上述处理工作如何实现

      烦请指正，告知 Seed based FC 的详细操作步骤

       谢谢

      tuye