Dear Michael Harms,

Thanks for your reply. I know that such a question is going to arise once I
do the processing and get the results, but scanner/protocol effects must be
spatially widespread and not specific. If strong specific effects are
observed then that will make an interesting result!

Regards,
Ranga

On Fri, Oct 10, 2014 at 8:09 AM, Harms, Michael <[email protected]> wrote:

>
>  Hi Ranga,
> Separate from the issue of HCP vs. DPARSF processing pipelines, you are
> going to have a very difficult time comparing HCP data to separate disease
> population data that was collected on a different scanner and with a
> different acquisition protocol.  For any differences that you might find,
> how will you be able to know that it isn't a scanner/protocol effect?
>
>  cheers,
> -MH
>
>   --
> Michael Harms, Ph.D.
>  -----------------------------------------------------------
> Conte Center for the Neuroscience of Mental Disorders
> Washington University School of Medicine
> Department of Psychiatry, Box 8134
> 660 South Euclid Ave. Tel: 314-747-6173
> St. Louis, MO  63110 Email: [email protected]
>
>   From: Ranga Deshpande <[email protected]>
> Date: Friday, October 10, 2014 12:36 AM
> To: Matt Glasser <[email protected]>, Greg Burgess <
> [email protected]>
> Cc: "[email protected]" <[email protected]>
> Subject: Re: [HCP-Users] Reg. DPARSF
>
>   Dear Matthew Glasser and Greg Burgess,
>
>  Many thanks for your replies. It really helped.
>
>  I am trying to use the HCP data as controls, while I have another
> separate disease population data. I need to perform statistical analysis
> between the HCP controls and my disease population. My data has undergone
> the DPARSF pipeline, so I felt that it would be better if I pre-processed
> even the HCP data through the same pipeline.
>
>  But now I find that there are a multitude of issues in doing that. So I
> have proceeded with using the ICA-FIX data itself.
>
>  Thanks again for your responses!
>
>  Best Regards,
> Ranga
>
> On Thu, Oct 9, 2014 at 11:32 AM, Greg Burgess <[email protected]> wrote:
>
>> Hello Ranga,
>>
>> There are definitely aspects of the pre-processing that we have done
>> within HCP, because the specifics are quite tricky to get right. If you
>> want more on those specifics, you can review the Glasser et al. (2013)
>> Neuroimage paper and/or the code and scripts that were recently released (
>> http://humanconnectome.org/about/pressroom/project-news/hcp-processing-pipelines-released/
>> ).
>>
>> If you want to do additional preprocessing on your data (e.g., different
>> temporal filtering or spatial smoothing), you will need to do that on the
>> NIFTI or CIFTI preproc files. I’m not familiar with DPARSF, but it appears
>> to want DICOM files as inputs. You might want to migrate to using FSL and
>> workbench for better compatibility with the HCP data.
>>
>> --Greg
>>
>> ____________________________________________________________________
>> Greg Burgess, Ph.D.
>> Staff Scientist, Human Connectome Project
>> Washington University School of Medicine
>> Department of Anatomy and Neurobiology
>> Phone: 314-362-7864
>> Email: [email protected]
>>
>> On Oct 8, 2014, at 6:53 PM, Glasser, Matthew <[email protected]>
>> wrote:
>>
>> > I wouldn’t recommend trying to redo the preprocessing, as getting that
>> right is complicated.  Why not use the FIX cleaned data and focus on
>> whatever analysis you are interested in doing?
>> >
>> > Peace,
>> >
>> > Matt.
>> >
>> > From: Ranga Deshpande <[email protected]>
>> > Date: Wednesday, October 8, 2014 at 6:48 PM
>> > To: "[email protected]" <[email protected]>
>> > Subject: [HCP-Users] Reg. DPARSF
>> >
>> > Hi,
>> >
>> > I am a graduate student at Auburn University MRI Research Center,
>> Auburn, AL.
>> > I am currently planning to use some of the HCP 500 data. I am
>> attempting to use Data Processing Assistant for Resting State fMRI (DPARSF)
>> (see: http://www.ncbi.nlm.nih.gov/pubmed/20577591 and
>> http://rfmri.org/DPARSF) to perform pre-processing.
>> >
>> > However, I am encountering one error after the other, ranging from
>> non-detection of data, mal-detection of data (zero-timepoints error), "data
>> has orientation problems so cannot realign" errors and other non-traceable
>> errors. I have tried using unprocessed data (pre-processing from scratch),
>> pre-processed data and even ICA-fix data. In all cases I have issues using
>> DPARSF.
>> >
>> > Has anyone had the same issue of using DPARSF to analyze HCP500 data?
>> >
>> > Regards,
>> > Ranga
>> > _______________________________________________
>> > HCP-Users mailing list
>> > [email protected]
>> > http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>> >
>> >
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