Hi - if you don't have your data in CIFTI then you would have to dualregress 
NIFTI/volumetic existing RSN maps into your data, as I think Michael said - 
which isn't as optimal.
Cheers.


> On 20 Mar 2018, at 01:53, Will Khan <khan.wa...@florey.edu.au> wrote:
> 
> Dear HCP members/Users, 
> 
> Thanks so much for your prompt advice and suggestions! 
> 
> Steve, if I were to perform ICA on the grayordinates would I still be able to 
> dualregress this onto a patient nifti dataset? Like others have suggested, 
> wouldn't my patient data need to be in cifti?
> 
> Cheers :)
> 
> Will
> 
> 
> From: Glasser, Matthew <glass...@wustl.edu <mailto:glass...@wustl.edu>>
> Sent: 14 March 2018 01:14:51
> To: Harms, Michael; Stephen Smith; Will Khan
> Cc: hcp-users@humanconnectome.org <mailto:hcp-users@humanconnectome.org>; 
> Erin W. E. Dickie
> Subject: Re: [HCP-Users] Melodic ICA idle
>  
> I would recommend the ciftify toolbox if your patient data do not meet HCP 
> Pipelines acquisition requirements (lacking highres T2w scan and or 
> Fieldmap).  The ciftify toolbox is currently beta, but should be fully 
> available in the very near future (Erin Dickie the author is CCed and can 
> give more details).  It is intended to assist users with legacy data in 
> processing using HCP-Style analyses including dual regression in CIFTI.  If 
> you need volume maps for your patients too, as Steve says you can do the 
> first stage of dual regression in CIFTI to get the timecourses and then 
> regress these into both the CIFTI and volume data.  We do this all the time 
> if we need to see what is going on outside the greymatter (e.g. we are 
> denoising data).  
> 
> I will note that even fMRI data with coarse voxel resolution (e.g. 4mm 
> isotropic) will still benefit from HCP-Style analyses over traditional 
> analyses (see in the attached figure that the 4mm dots are essentially all 
> above the line of equality between volume and surface).  The attached figure 
> does not consider the effects of volume-based smoothing which are even more 
> serious than volume-based alignment 
> (https://www.biorxiv.org/content/early/2018/01/29/255620 
> <https://www.biorxiv.org/content/early/2018/01/29/255620>).  
> 
> Of course in the future we recommend acquiring HCP Style data (fMRI 2.4mm 
> isotropic or better, 1s TR or better; T1w and T2w 0.8mm isotropic or better, 
> and phase reversed field maps) and processing with the HCP Pipelines or an 
> equivalent or better approach.  
> 
> Peace,
> 
> Matt.
> 
> From: <hcp-users-boun...@humanconnectome.org 
> <mailto:hcp-users-boun...@humanconnectome.org>> on behalf of "Harms, Michael" 
> <mha...@wustl.edu <mailto:mha...@wustl.edu>>
> Date: Tuesday, March 13, 2018 at 7:48 AM
> To: Stephen Smith <st...@fmrib.ox.ac.uk <mailto:st...@fmrib.ox.ac.uk>>, Will 
> Khan <khan.wa...@florey.edu.au <mailto:khan.wa...@florey.edu.au>>
> Cc: "hcp-users@humanconnectome.org <mailto:hcp-users@humanconnectome.org>" 
> <hcp-users@humanconnectome.org <mailto:hcp-users@humanconnectome.org>>
> Subject: Re: [HCP-Users] Melodic ICA idle
> 
>  
> I think the issue, as I read it, is that Will’s data is only NIFTI currently, 
> so he doesn’t have any subject CIFTI that he could use for the stage 1 of 
> dual reg.
>  
> Our suggestion of course to remedy that would be that you process your data 
> into CIFTI, using the HCP Pipelines. ☺
>  
> Cheers,
> -MH
>  
> -- 
> Michael Harms, Ph.D.
> -----------------------------------------------------------
> Associate Professor of Psychiatry
> Washington University School of Medicine
> Department of Psychiatry, Box 8134
> 660 South Euclid Ave.                        Tel: 314-747-6173
> St. Louis, MO  63110                          Email: mha...@wustl.edu 
> <mailto:mha...@wustl.edu>
>  
> From: <hcp-users-boun...@humanconnectome.org 
> <mailto:hcp-users-boun...@humanconnectome.org>> on behalf of Stephen Smith 
> <st...@fmrib.ox.ac.uk <mailto:st...@fmrib.ox.ac.uk>>
> Date: Tuesday, March 13, 2018 at 2:31 AM
> To: Will Khan <khan.wa...@florey.edu.au <mailto:khan.wa...@florey.edu.au>>
> Cc: "hcp-users@humanconnectome.org <mailto:hcp-users@humanconnectome.org>" 
> <hcp-users@humanconnectome.org <mailto:hcp-users@humanconnectome.org>>
> Subject: Re: [HCP-Users] Melodic ICA idle
>  
> Hi Will
>  
> I'm not aware of any outstanding bugs in melodic that would cause it to 
> silently hang.  Are you sure it's not just that you've run out of RAM and are 
> swapping?
>  
> Yes it's better to do group-ICA on grayordinates. You can still dual-regress 
> that (step one into subject CIFTI, step two back into either CIFIT and/or 
> volume) to get volume maps back, like we did for the most recent group-ICA 
> HCP release.
>  
> Cheers.
>  
>  
>  
> 
> 
> On 13 Mar 2018, at 04:52, Will Khan <khan.wa...@florey.edu.au 
> <mailto:khan.wa...@florey.edu.au>> wrote:
>  
> Dear HCP Users, 
>  
> I am currently using the ICA-FIX denoised volumetric data for 100 unrelated 
> subjects. I come across an issue where melodic appears to 'choke' or remain 
> idle for a considerable amount of time at the variance normalisation step. I 
> am running a group-ICA within a mask of the PCC. 
>  
> I understand this issue has been reported by others and appears to be a bug 
> with the melodic command. 
>  
> I know Steve Smith and others have cautioned against the use of the 
> volumetric data - but I am using the HCP dataset to generate group-ICA maps 
> that I later wish to dualreg onto a patient dataset. Since all my patient 
> data is in NIFTI format I am initially hesitant to use CIFTI (please correct 
> me if I am wrong here).
>  
> Am I right to be using the volumetric data in this case? 
>  
> Many Thanks!
>  
> Regards, 
> 
> Will
>  
>  
>  
>  
>  
> _______________________________________________
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> 
> ---------------------------------------------------------------------------
> Stephen M. Smith, Professor of Biomedical Engineering
> Head of Analysis,  Oxford University FMRIB Centre
> 
> FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
> +44 (0) 1865 222726  (fax 222717)
> st...@fmrib.ox.ac.uk <mailto:st...@fmrib.ox.ac.uk>    
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