Hi Michael - for raw covariances - summing covariances is equivalent to temp 
concat first.
Cheers



> On 25 Nov 2015, at 17:29, Harms, Michael <[email protected]> wrote:
> 
> 
> To Steve's point and the issue of memory:  A critical distinction is whether 
> you are intending to work with dense connectomes or parcellated connectomes.  
> In the context of parcellated connectomes, both Steve and myself have found a 
> small advantage in reproducibility if you compute a parcellated "netmat" for 
> each resting state run, convert those using r-to-z, and then average those 
> across the 4 resting state runs for a subject (if you want as output a single 
> parcellated netmat per subject).  In fact, that is how the netmats that are 
> distributed as part of the "PTN" from ConnectomeDB were themselves created.
> 
> In the context of dense connectomes, generating a dense connectome per run is 
> a different sort of beast.  You can do it (I've done it) using 
> -cifti-correlation and then average with -cifti-average. But to my knowledge, 
> no one has looked at whether there is a small reproducibility advantage to 
> that approach as well with dense connectomes, which is why I think that most 
> subject specific dense connectomes have probably been created via the 
> 'concat' approach outlined on the wiki.
> 
> 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: Timothy Coalson <[email protected] <mailto:[email protected]>>
> Date: Tuesday, November 24, 2015 4:23 PM
> To: Greg Burgess <[email protected] <mailto:[email protected]>>
> Cc: "Elam, Jennifer" <[email protected] <mailto:[email protected]>>, 
> "[email protected] <mailto:[email protected]>" 
> <[email protected] <mailto:[email protected]>>
> Subject: Re: [HCP-Users] Phase Encoding left-to-right and right-to-left
> 
> If you are using -cifti-correlation, there is a -mem-limit option for this 
> purpose, so there isn't a required minimum memory to do it (even in matlab 
> where everything has to be in memory, the 90k x 4.8k timeseries input pales 
> in comparison to the 90k x 90k output).  If you are doing everything in 
> matlab, then the averaging of two 90k x 90k dconns is going to require more 
> memory than any reasonable concatenated correlation.
> 
> The -cifti-average command should use almost no memory regardless of file 
> size, as long as you don't overwrite one of the inputs with the output.
> 
> Tim
> 
> 
> On Tue, Nov 24, 2015 at 2:23 PM, Greg Burgess <[email protected] 
> <mailto:[email protected]>> wrote:
>> I suggested below that Joelle could average Fisher’s z-transformed 
>> correlation coefficients (derived from each run within-subject), or treat 
>> the multiple runs as within-subjects repeated measures.
>> 
>> The idea was that computing correlations between timeseries with 4800 time 
>> points will take four times as much RAM as using only 1200 time points. For 
>> folks with limited RAM, averaging the correlation estimates may be a more 
>> feasible option.
>> 
>> --Greg
>> 
>> ____________________________________________________________________
>> Greg Burgess, Ph.D.
>> Staff Scientist, Human Connectome Project
>> Washington University School of Medicine
>> Department of Anatomy and Neurobiology
>> Phone: 314-362-7864 <tel:314-362-7864>
>> Email: [email protected] <mailto:[email protected]>
>> 
>> > On Nov 24, 2015, at 1:08 PM, Stephen Smith <[email protected] 
>> > <mailto:[email protected]>> wrote:
>> >
>> > I think maybe we need to be explicit about exactly what we're talking 
>> > about averaging?
>> > Cheers.
>> >
>> > --------------------
>> > Stephen M. Smith,  Professor of Biomedical Engineering
>> > Head of Analysis,   Oxford University FMRIB Centre
>> >
>> > FMRIB, JR Hospital, Headington,
>> > Oxford. OX3 9 DU, UK
>> > +44 (0) 1865 222726 <tel:%2B44%20%280%29%201865%20222726>  (fax 222717)
>> > [email protected] <mailto:[email protected]>
>> > http://www.fmrib.ox.ac.uk/~steve <http://www.fmrib.ox.ac.uk/~steve>
>> > ----------------------
>> >
>> >> On 24 Nov 2015, at 19:03, Greg Burgess <[email protected] 
>> >> <mailto:[email protected]>> wrote:
>> >>
>> >> It’s less RAM-intensive since you only need to load one timeseries at a 
>> >> time.
>> >>
>> >> --Greg
>> >>
>> >> ____________________________________________________________________
>> >> Greg Burgess, Ph.D.
>> >> Staff Scientist, Human Connectome Project
>> >> Washington University School of Medicine
>> >> Department of Anatomy and Neurobiology
>> >> Phone: 314-362-7864 <tel:314-362-7864>
>> >> Email: [email protected] <mailto:[email protected]>
>> >>
>> >>> On Nov 24, 2015, at 12:29 PM, Glasser, Matthew <[email protected] 
>> >>> <mailto:[email protected]>> wrote:
>> >>>
>> >>> I'm not sure what benefit you'd get from averaging the FCs across runs 
>> >>> within a subject.  That just sounds more computationally intensive.
>> >>>
>> >>> Peace,
>> >>>
>> >>> Matt.
>> >>>
>> >>>
>> >>> From: Joelle Zimmermann <[email protected] 
>> >>> <mailto:[email protected]>>
>> >>> Sent: Tuesday, November 24, 2015 11:55 AM
>> >>> To: Glasser, Matthew
>> >>> Cc: Greg Burgess; Elam, Jennifer; [email protected] 
>> >>> <mailto:[email protected]>
>> >>> Subject: Re: [HCP-Users] Phase Encoding left-to-right and right-to-left
>> >>>
>> >>> Hi Matt,
>> >>>
>> >>> Glad you do point that out, because I was previously looking at the 
>> >>> Resting State fMRI 1 Preprocessed, but the Resting State fMRI 
>> >>> FIX-Denoised (Compact) is readily available. So I guess for that all 
>> >>> I'll need to do is demean and variance normalize, and/or average the two 
>> >>> FCs.
>> >>>
>> >>> Thanks,
>> >>> Joelle
>> >>>
>> >>> On Tue, Nov 24, 2015 at 12:19 PM, Glasser, Matthew <[email protected] 
>> >>> <mailto:[email protected]>> wrote:
>> >>> Indeed I was assuming you were using FIX cleaned data.  I wouldn't 
>> >>> recommend not using FIX cleaned data unless you are testing other clean 
>> >>> up approaches.
>> >>>
>> >>> Peace,
>> >>>
>> >>> Matt.
>> >>> ________________________________________
>> >>> From: Joelle Zimmermann [[email protected] 
>> >>> <mailto:[email protected]>]
>> >>> Sent: Tuesday, November 24, 2015 11:14 AM
>> >>> To: Greg Burgess
>> >>> Cc: Glasser, Matthew; Elam, Jennifer; [email protected] 
>> >>> <mailto:[email protected]>
>> >>> Subject: Re: [HCP-Users] Phase Encoding left-to-right and right-to-left
>> >>>
>> >>> Hi Greg,
>> >>>
>> >>> Thanks for your response. Indeed, I was considering that myself, to 
>> >>> compute the FCs separately and average the LR and RL.
>> >>>
>> >>> Thanks,
>> >>> Joelle
>> >>>
>> >>> On Tue, Nov 24, 2015 at 11:56 AM, Greg Burgess <[email protected] 
>> >>> <mailto:[email protected]><mailto:[email protected] 
>> >>> <mailto:[email protected]>>> wrote:
>> >>> Hi Joelle,
>> >>>
>> >>> In addition to demeaning and possibly variance normalization, it is 
>> >>> probably a good idea to detrend each run separately using a linear 
>> >>> detrend or a high pass filter before concatenation. (FIX-preprocessed 
>> >>> data already includes a 2000s high pass filter.)
>> >>>
>> >>> Another option that is not described on the wiki (yet) is to compute 
>> >>> correlations separately for each run, and then average the Fisher’s 
>> >>> z-transformed correlation coefficients, or treat the multiple runs as 
>> >>> within-subjects repeated measures.
>> >>>
>> >>> --Greg
>> >>>
>> >>> ____________________________________________________________________
>> >>> Greg Burgess, Ph.D.
>> >>> Staff Scientist, Human Connectome Project
>> >>> Washington University School of Medicine
>> >>> Department of Anatomy and Neurobiology
>> >>> Phone: 314-362-7864 <tel:314-362-7864><tel:314-362-7864 
>> >>> <tel:314-362-7864>>
>> >>> Email: [email protected] 
>> >>> <mailto:[email protected]><mailto:[email protected] 
>> >>> <mailto:[email protected]>>
>> >>>
>> >>>> On Nov 23, 2015, at 4:40 PM, Glasser, Matthew <[email protected] 
>> >>>> <mailto:[email protected]><mailto:[email protected] 
>> >>>> <mailto:[email protected]>>> wrote:
>> >>>>
>> >>>> It doesn’t matter what order you concatenate the data in, but I would 
>> >>>> not recommend only analyzing the data of one phase encoding direction.
>> >>>>
>> >>>> Peace,
>> >>>>
>> >>>> Matt.
>> >>>>
>> >>>> From: <[email protected] 
>> >>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>  <mailto:[email protected]>>> on behalf of Joelle 
>> >>>> Zimmermann <[email protected] 
>> >>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>  <mailto:[email protected]>>>
>> >>>> Date: Monday, November 23, 2015 at 12:48 PM
>> >>>> To: "Elam, Jennifer" <[email protected] 
>> >>>> <mailto:[email protected]><mailto:[email protected] <mailto:[email protected]>>>
>> >>>> Cc: "[email protected] 
>> >>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>  <mailto:[email protected]>>" 
>> >>>> <[email protected] 
>> >>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>  <mailto:[email protected]>>>
>> >>>> Subject: Re: [HCP-Users] Phase Encoding left-to-right and right-to-left
>> >>>>
>> >>>> Hi Jennifer and Matt,
>> >>>>
>> >>>> Thanks for your help. I have a few clarification questions below:
>> >>>> Does it matter in which order I concatenate the LR and the RL .nii's? 
>> >>>> My ultimate goal is to create a functional connectivity matrix from the 
>> >>>> time series.
>> >>>> #3 in the link you sent describes that there are 4 runs per subject. Is 
>> >>>> this the REST 1, and REST 2, each with LR and RL phase encoding 
>> >>>> directions?
>> >>>> Would using only one phase encoding direction (i.e. do analysis on LR) 
>> >>>> expect to effect the results?
>> >>>>
>> >>>> Thanks,
>> >>>> Joelle
>> >>>>
>> >>>>> On Mon, Nov 23, 2015 at 1:17 PM, Jennifer Elam <[email protected] 
>> >>>>> <mailto:[email protected]><mailto:[email protected] 
>> >>>>> <mailto:[email protected]>>> wrote:
>> >>>>> #3 on 
>> >>>>> https://wiki.humanconnectome.org/display/PublicData/HCP+Users+FAQ 
>> >>>>> <https://wiki.humanconnectome.org/display/PublicData/HCP+Users+FAQ> 
>> >>>>> may be of help.
>> >>>>>
>> >>>>> Best,
>> >>>>> Jenn
>> >>>>>
>> >>>>> Jennifer Elam, Ph.D.
>> >>>>> Outreach Coordinator, Human Connectome Project
>> >>>>> Washington University School of Medicine
>> >>>>> Department of Anatomy and Neurobiology, Box 8108
>> >>>>> 660 South Euclid Avenue
>> >>>>> St. Louis, MO 63110
>> >>>>> 314-362-9387 <tel:314-362-9387><tel:314-362-9387 <tel:314-362-9387>>
>> >>>>> [email protected] 
>> >>>>> <mailto:[email protected]><mailto:[email protected] 
>> >>>>> <mailto:[email protected]>>
>> >>>>> www.humanconnectome.org 
>> >>>>> <http://www.humanconnectome.org/><http://www.humanconnectome.org 
>> >>>>> <http://www.humanconnectome.org/>>
>> >>>>>
>> >>>>> From:[email protected] 
>> >>>>> <mailto:from%[email protected]><mailto:from%[email protected]
>> >>>>>  <mailto:from%[email protected]>> 
>> >>>>> [mailto:[email protected] 
>> >>>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>>  <mailto:[email protected]>>] On Behalf Of 
>> >>>>> Glasser, Matthew
>> >>>>> Sent: Monday, November 23, 2015 12:16 PM
>> >>>>> To: Joelle Zimmermann; [email protected] 
>> >>>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>>  <mailto:[email protected]>>
>> >>>>> Subject: Re: [HCP-Users] Phase Encoding left-to-right and right-to-left
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> Usually you concatenate them temporally after demeaning (and perhaps 
>> >>>>> variance normalizing).
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> Peace,
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> Matt.
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> From:[email protected] 
>> >>>>> <mailto:from%[email protected]><mailto:from%[email protected]
>> >>>>>  <mailto:from%[email protected]>> 
>> >>>>> <[email protected] 
>> >>>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>>  <mailto:[email protected]>>> on behalf of Joelle 
>> >>>>> Zimmermann <[email protected] 
>> >>>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>>  <mailto:[email protected]>>>
>> >>>>> Sent: Monday, November 23, 2015 11:33 AM
>> >>>>> To: [email protected] 
>> >>>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>>  <mailto:[email protected]>>
>> >>>>> Subject: [HCP-Users] Phase Encoding left-to-right and right-to-left
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> Hi all,
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> Would anyone be able to explain a bit more about the phase-encoding 
>> >>>>> directions LR and RL for the (preprocessed) REST1 session data from 
>> >>>>> 500 subjects +MEG2? I understand that LR is left to right and RL is 
>> >>>>> right to left.
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> I'm wondering, are these meant to be somehow combined, or is only one 
>> >>>>> of these typically chosen?
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> Thanks,
>> >>>>>
>> >>>>> Joelle
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>>
>> >>>>> http://www.humanconnectome.org/documentation/Q1/data-in-this-release.html
>> >>>>>  
>> >>>>> <http://www.humanconnectome.org/documentation/Q1/data-in-this-release.html>
>> >>>>>
>> >>>>> Q1 Data Release: About the Dataset | Human Connectome Project
>> >>>>> 76 healthy adult subjects in the age range 22 – 35 participated in the 
>> >>>>> first quarter of data collection. These include 68 subjects with data 
>> >>>>> from all or nearly all ...
>> >>>>> Read more...
>> >>>>>
>> >>>>>
>> >>>>> _______________________________________________
>> >>>>> HCP-Users mailing list
>> >>>>> [email protected] 
>> >>>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>>  <mailto:[email protected]>>
>> >>>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users 
>> >>>>> <http://lists.humanconnectome.org/mailman/listinfo/hcp-users>
>> >>>>>
>> >>>>> _______________________________________________
>> >>>>> HCP-Users mailing list
>> >>>>> [email protected] 
>> >>>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>>  <mailto:[email protected]>>
>> >>>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users 
>> >>>>> <http://lists.humanconnectome.org/mailman/listinfo/hcp-users>
>> >>>>
>> >>>> _______________________________________________
>> >>>> HCP-Users mailing list
>> >>>> [email protected] 
>> >>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>  <mailto:[email protected]>>
>> >>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users 
>> >>>> <http://lists.humanconnectome.org/mailman/listinfo/hcp-users>
>> >>>> _______________________________________________
>> >>>> HCP-Users mailing list
>> >>>> [email protected] 
>> >>>> <mailto:[email protected]><mailto:[email protected]
>> >>>>  <mailto:[email protected]>>
>> >>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users 
>> >>>> <http://lists.humanconnectome.org/mailman/listinfo/hcp-users>
>> >>>
>> >>>
>> >>>
>> >>> ________________________________
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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)
[email protected]    http://www.fmrib.ox.ac.uk/~steve 
<http://www.fmrib.ox.ac.uk/~steve>
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