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realign

Submitted by sunshine on
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各位老师好!
     我在处理静息态数据时在头动校正完后发现有一个被试在最后几张图像上显示出了旋转变换很大,但是平移变化不大。不知道这样的被试数据是否能用?

初学者求助:

Submitted by qiuyw1201 on
Forums
严老师,您好:
我在处理数据时总是出现以下提示:Warning: FINITE is obsolete and will be removed in future versions. Use ISFINITE instead.
> In spm_select>click_file_box at 671
  In spm_select>selector at 429
  In spm_select at 97
  In spm_jobman>file_select at 875
  In spm_jobman>run_in_current_node1 at 698
  In spm_jobman>run_in_current_node1 at 706
  In spm_jobman>start_node1 at 668
  In spm_jobman>start_node1 at 674
  In spm_jobman>start_node1 at 674

mALFF-1

Submitted by mghasemi on
Forums
Dear All
Hi,
1- Why we should use mALFF-1 images for one sample t-test? why we can't use mALFF or ALFF images?
2- When I run 'Image calculator' in REST and add 20 mALFF images as group images and expression was "g1-1". The below error occured in matlab workspace:
??? Error using ==> horzcat
CAT arguments dimensions are not consistent.

Error in ==> rest_WriteAnalyzeImage at 79

Is it possible to do the Functional connectivity analysis with not normalized data?

Submitted by liy on
Forums
Hi,

I would like to apply the functional connectivity analysis to patients who suffered lesions. Is it possible to use not normalized images? It seems that the 'DPARSF' does not allow this customization. Therefore, I am going to try to use SPM to pre-process the data then run the functional connectivity in REST2007. Would it be any problems in this way? Thank you very much in advance!

Happy Spring Festival!

Yong Li, PhD

No valid image in '.../PicturesForChkNormalization'

Submitted by liy on
Forums
Hi,

Recently, I have run 3 times ReHo analyses on healthy controls and patients. Two of them did not show any valid images in '.../PicturesForChkNormalization' but one analysis using patients' data had valid images. Does it mean any errors during the DPARSF process? Thank you very much in advance! If there is anything I can do to solve it out, please feel free to contact me!

Happy Spring Festival! All the best!

Yong Li