Hi Lingqiang, I did not have a strong reason not to do the low pass 
filtering. I think I tried it once and it did not seem to make much 
difference, so I did not implement it in FSFAST. The differences may be 
due to filtering, but there are a lot of other places where things can 
be different too. Can you turn off the filtering in spm?
doug

kon...@nmr.mgh.harvard.edu wrote:
> Thanks Doug. The labels work perfectly now.
>
> I also have a methodological question about the fsfast connectivity
> analysis: functional connectivity analyses in the literature (Biswal, etc)
> only looks at low-frequency fluctuations from BOLD  signals. After
> preprocessing and regressing out nuisance regressors, the BOLD signal is
> low-pass filtered (usually 0.01-0.1Hz) before the activity within the
> seeds are averaged and calculating the whole brain correlation map.
>
> I couldn't find anything like that within the fsfast connectivity
> processing streamline. Is that something that can be turned on and off ?
> If so, is there a reason to do it or not do it?
>
>
> PS. We have ran the same data in the same subject with same seeds using
> fsfast connectivity streamline and the SPM functional connectivity toolbox
> (Gabrieli lab). The results are somewhat similar but there are also marked
> differences. I wonder if the low-pass step has anything to do with that.
>
> Thank you.
>
> Lingqiang
>
>   
>> Hi Lingqiang, convert your .label file to a volume using mri_label2vol
>> for each subject, something like
>>
>> cd $SUBJECTS_DIR/$subject/mri
>> mri_label2vol --label lh.yourlabel.label --temp orig.mgz --regheader
>> orig.mgz --subject $subject --hemi lh --proj frac 0 1 .1 --o yourlabel.mgz
>>
>> When you run fcseed-config specify -segmentation yourlabel.mgz -segid 1
>>
>> doug
>>
>>
>> kon...@nmr.mgh.harvard.edu wrote:
>>     
>>> Hi Freesurfers,
>>>
>>> We are trying to do a resting-state functional connectivity analysis
>>> using
>>> freesurfer. Instead of using the aparc+aseg segmentations as seeds, we
>>> would like to use a subject-specific surface labels that we have defined
>>> apriori.
>>>
>>> In the fcseed-config step, we then don't have a "segid" as in the
>>> anatomical seeds case. What should we specify as the -segid and -seg
>>> (segmentation)?
>>>
>>> We also looked into the ROI-based options using "-roi" but this takes
>>> seeds from output of "funcroi-config" and requires that we specify a
>>> contrast and an analysis. How should we just specify a surface label
>>> without generating a new analysis and contrast?
>>>
>>> Any help or suggestions are appreciated.
>>>
>>>
>>> Lingqiang
>>> _______________________________________________
>>> Freesurfer mailing list
>>> Freesurfer@nmr.mgh.harvard.edu
>>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>>>
>>>
>>>
>>>       
>> --
>> Douglas N. Greve, Ph.D.
>> MGH-NMR Center
>> gr...@nmr.mgh.harvard.edu
>> Phone Number: 617-724-2358
>> Fax: 617-726-7422
>>
>> Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>> FileDrop: www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>>
>>
>>
>>     
>
>
>   

-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358 
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: www.nmr.mgh.harvard.edu/facility/filedrop/index.html

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