Dear DPABI team,
first, I would like to thank you for your work and effort – I enjoy working with DPABI. I hope I didn't miss or overread information in this forum about the questions I'll ask in the following, if so I would like to apologize beforehand.
DPABISurf Installation on Windows
Chao-Gan Yan
1. Update to latest Win 10 or Upgrade to Win 11.
2. Enable Virtual Technology in BIOS
2.1. Restart -> Enter BIOS (during rebooting, hit enter and then F1 or FN+F2)
2.2. Enable “Intel Virtual Technology”
3. Install WSL
严老师好，各位老师好，
我在用DPARSFA对rest-fMRI数据进行预处理后，用DPABI-QC-Generate Group Masks生成mask用于统计，但生成的mask与常见的mask不同，看起来像是经过了旋转之后纳入了部分脑外信息（请参见附上的GroupMask90percent.nii），我检查了每个被试的wAutoMask，仅发现部分被试mask有脑内信息缺失，但都没包含脑外部分（如附图wAutoMask1&2.png），当时的预处理过程见附图Preprocess.png。想请教各位老师为什么生成的GroupMask会出现这种情况？这样的mask应该会影响统计了，请问该如何处理呢？
多谢各位老师解惑，盼回复！
严老师好，各位老师好，
我在用DPARSFA对rest-fMRI数据进行预处理后，用DPABI-QC-Generate Group Masks生成mask用于统计，但生成的mask与常见的mask不同，看起来像是经过了旋转之后纳入了部分脑外信息（请参见附上的GroupMask90percent.nii），我检查了每个被试的wAutoMask，仅发现部分被试mask有脑内信息缺失，但都没包含脑外部分（如附图wAutoMask1&2.png），当时的预处理过程见附图Preprocess.png。想请教各位老师为什么生成的GroupMask会出现这种情况？这样的mask应该会影响统计了，请问该如何处理呢？
多谢各位老师解惑，盼回复！
Hi,
Thanks for leting me join the foroum. I am using DPARSFA on Matlab R2019b. I was practicing using online sample data for DPARSFA and it run up to some point (Bet) but at the end I got the below error:
Hi,
Using dpabi, I have successfully pre-processed all subjects in ADNI that include both "resting_state_fMRI" and "MPRAGE SENSE 2" files.
It seems to me that only 770 subjects in ADNI have resting_state_fMRI data.
My question is: are fMRI data always needed to run the pre-processing with dpabi (as I have already done) or is there also a different way that does not require fMRI data?
Thanks,
Dimitris
hi there,
i've preprocessed my data using the standard fmriprep pipeline (not within dpabiSURF). I'm wondering it its possible to run dpabiSURF on the fmriprep processed data to denoise and construct the functional connectome matrices?
Dear Dr.Yan,
严老师好，各位老师好，最近用dpabi做Dynamic Analyses，然后结果文件夹里面每个指标的结果都有3种前缀，分别是CV，Mean和Std，想咨询一下这3种前缀的结果文件分别是什么意思，我应该用哪个结果进行组间差异的统计分析呢？