Should you also normalize so that the standard deviations of each
timeseries match?

Tim



On Tue, May 20, 2014 at 12:24 PM, Stephen Smith <st...@fmrib.ox.ac.uk>wrote:

> Hi - One important point - you should never temporally concatenate without
> first demeaning the individual timeseries.
> Cheers.
>
>
>
> On 20 May 2014, at 10:14, Ausaf Bari <aus...@gmail.com> wrote:
>
> Ok that is something I tried recently actually - to merge all the runs
> across all the subjects and then do a correlation with fisher-z transform.
> The results didn't "feel" right in that they didn't look like typical
> resting state images. That is why I wanted to double check I was doing it
> the right way.
>
> As an alternative could I merge the within subject runs together with
> -merge and do a within-subject correlation and then average across
> subjects? Is there any downside to this other than the huge amount of
> storage space that would be required (32GB per subject)?
>
> -Ausaf
>
>
> On Mon, May 19, 2014 at 10:04 PM, Glasser, Matthew <
> glass...@wusm.wustl.edu> wrote:
>
>>  The simplest way is to concatenate the timeseries with wb_command
>> -cifti-merge.  You could do this for all runs of all subjects, or all runs
>> for each subject (and then z-transform and average the connectomes across
>> subjects).  There will be a better way in the future.
>>
>>  Peace,
>>
>>  Matt.
>>
>>   From: Timothy Coalson <tsc...@mst.edu>
>> Date: Monday, May 19, 2014 at 10:48 PM
>> To: Ausaf Bari <aus...@gmail.com>
>> Cc: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
>> Subject: Re: [HCP-Users] Creating Group Average Resting State fMRI
>>
>>   Averaging together timepoints does not make sense for resting state
>> data, it does not use stimuli, so there is no temporal correspondence
>> between runs or across subjects.  You should do the correlation before any
>> averaging.
>>
>>  I'm not sure what method our pipelines use, so I'll let someone else
>> respond as to what the recommended method is (you probably don't need to
>> correlate each file by itself, which would use up lots of disk space).
>>
>>  Tim
>>
>>
>>
>> On Mon, May 19, 2014 at 8:22 PM, Ausaf Bari <aus...@gmail.com> wrote:
>>
>>> I am trying to create a resting state fMRI average over 10 subjects to
>>> view in connectome workbench. For each HCP subject, I found the following 4
>>> files:
>>>
>>>  rfMRI_REST1_RL_Atlas_hp2000_clean.dtseries.nii
>>>  rfMRI_REST1_LR_Atlas_hp2000_clean.dtseries.nii
>>>  rfMRI_REST2_RL_Atlas_hp2000_clean.dtseries.nii
>>>  rfMRI_REST2_LR_Atlas_hp2000_clean.dtseries.nii
>>>
>>>  So for 10 subjects, I will have 40 total files. Am I correct to assume
>>> that I can use the command line tool "wb_command -cifti-average" to average
>>> over all 40 files and then "wb_command -cifti-correlation" to create a
>>> dense connectome?
>>>
>>>  -Ausaf
>>>
>>>
>>>  --
>>> Ausaf A. Bari MD PhD
>>> Resident Physician
>>> UCLA Medical Center
>>> Department of Neurosurgery
>>>
>>> Email: aus...@gmail.com
>>>
>>> _______________________________________________
>>> HCP-Users mailing list
>>> HCP-Users@humanconnectome.org
>>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>>>
>>
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>
>
>
> --
> Ausaf A. Bari MD PhD
> Resident Physician
> UCLA Medical Center
> Department of Neurosurgery
>
> Phone: 617-642-1929
> Email: aus...@gmail.com
>
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>
>
> ---------------------------------------------------------------------------
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> Associate Director,  Oxford University FMRIB Centre
>
> FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
> +44 (0) 1865 222726  (fax 222717)
> st...@fmrib.ox.ac.uk    http://www.fmrib.ox.ac.uk/~steve
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