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Hi Sara,

It's hard to tell without knowing the size of the data. You can get an
estimate of when it will finish by considering the number of ICs, number of
permutations, and how many have run already, then decide whether waiting
that amount of time would be acceptable.

All the best,

Anderson


On Mon, 1 Oct 2018 at 19:31, [log in to unmask] <[log in to unmask]>
wrote:

> Hi Anderson,
>
> Thanks a lot for the explanation. I am not sure what you would call as
> "enough RAM" for such analysis.
> I use a a macOS with the following features:
> Processor: 4.2 GHz Intel Core i7
> Memory: 16 GB 2400 MHz DDR4
>
> Not sure if this is sufficient enough to run this analysis. Does it make a
> big difference if we upgrade our RAM to 64 GB?
>
> Thanks,
> Sara
> ------------------------------
> *From:* FSL - FMRIB's Software Library [[log in to unmask]] on behalf of
> Anderson M. Winkler [[log in to unmask]]
> *Sent:* Monday, October 01, 2018 3:44 PM
> *To:* [log in to unmask]
> *Subject:* Re: [FSL] Dual regression taking so long!
>
> Hi Sara,
>
> I would leave at 1mm and would be patient. Often it takes many months or
> years to collect data, at a high cost (time and money). My opinion is that
> it isn't worth to throw resolution away just to save a handful of extra
> days of processing which, btw, is being done by a computer automatically...
>
> Of course, this is a personal decision, but unless you don't have enough
> RAM (in which case running might be impossible without swap space, and even
> there, it would be way slower), it seems better to wait. Only make sure
> that the program is actually running, i.e., that you receive feedback in
> the screen (or in log files if that is the case), and that the process
> hasn't become a "zombie" (check with the command "htop" or "top").
>
> All the best,
>
> Anderson
>
>
> On Mon, 1 Oct 2018 at 13:36, [log in to unmask] <
> [log in to unmask]> wrote:
>
>> Thanks Anderson!
>>
>> I also noticed that I am using an image size of 1*1*1. I guess I have to
>> make them smaller to make the process faster as well. Right?
>>
>> Thanks,
>> Sara
>> ------------------------------
>> *From:* FSL - FMRIB's Software Library [[log in to unmask]] on behalf of
>> Anderson M. Winkler [[log in to unmask]]
>> *Sent:* Sunday, September 30, 2018 5:19 PM
>> *To:* [log in to unmask]
>> *Subject:* Re: [FSL] Dual regression taking so long!
>>
>> Hi Sara,
>>
>> Yes, it can be slow, particularly if the design includes regressors to
>> accommodate repeated measures, many contrasts, spatial statistics, and if
>> all ICs are tested.
>>
>> All the best,
>>
>> Anderson
>>
>>
>> On Thu, 20 Sep 2018 at 12:59, [log in to unmask] <
>> [log in to unmask]> wrote:
>>
>>> Hi,
>>>
>>> I am running dual regression on 52 scans from 26 subject to find an
>>> intervention effect on their functional connectivity. We have 51 components
>>> from group level ICA.
>>> I let the command run yesterday morning, it finished the first two
>>> stages and created all the file for those stages by 7 pm. However, it's
>>> been about 23 hours that it has created only two files from stage 3.
>>>
>>> Here is the command that I am running:
>>> dual_regression groupmelodic.gica/melodic_IC.nii.gz 1 GroupICA.mat
>>> GroupICA.con 5000 /Users/sizadi/Desktop/Dual_Regression
>>> Post_006B_filtered_func_data_clean_standard.nii.gz
>>> Post_008B_filtered_func_data_clean_standard.nii.gz
>>> Post_012C_filtered_func_data_clean_standard.nii.gz
>>> Post_015C_filtered_func_data_clean_standard.nii.gz
>>> Post_027C_filtered_func_data_clean_standard.nii.gz
>>> Post_028B_filtered_func_data_clean_standard.nii.gz
>>> Post_032C_filtered_func_data_clean_standard.nii.gz
>>> Post_033B_filtered_func_data_clean_standard.nii.gz
>>> Post_034C_filtered_func_data_clean_standard.nii.gz
>>> Post_035C_filtered_func_data_clean_standard.nii.gz
>>> Post_039B_filtered_func_data_clean_standard.nii.gz
>>> Post_040B_filtered_func_data_clean_standard.nii.gz
>>> Post_042C_filtered_func_data_clean_standard.nii.gz
>>> Post_045B_filtered_func_data_clean_standard.nii.gz
>>> Post_047B_filtered_func_data_clean_standard.nii.gz
>>> Post_048C_filtered_func_data_clean_standard.nii.gz
>>> Post_050C_filtered_func_data_clean_standard.nii.gz
>>> Post_054B_filtered_func_data_clean_standard.nii.gz
>>> Post_058C_filtered_func_data_clean_standard.nii.gz
>>> Post_064C_filtered_func_data_clean_standard.nii.gz
>>> Post_066B_filtered_func_data_clean_standard.nii.gz
>>> Post_069C_filtered_func_data_clean_standard.nii.gz
>>> Post_072B_filtered_func_data_clean_standard.nii.gz
>>> Post_073C_filtered_func_data_clean_standard.nii.gz
>>> Post_075B_filtered_func_data_clean_standard.nii.gz
>>> Post_078B_filtered_func_data_clean_standard.nii.gz
>>> Pre_006A_filtered_func_data_clean_standard.nii.gz
>>> Pre_008A_filtered_func_data_clean_standard.nii.gz
>>> Pre_012B_filtered_func_data_clean_standard.nii.gz
>>> Pre_015B_filtered_func_data_clean_standard.nii.gz
>>> Pre_027B_filtered_func_data_clean_standard.nii.gz
>>> Pre_028A_filtered_func_data_clean_standard.nii.gz
>>> Pre_032B_filtered_func_data_clean_standard.nii.gz
>>> Pre_033A_filtered_func_data_clean_standard.nii.gz
>>> Pre_034B_filtered_func_data_clean_standard.nii.gz
>>> Pre_035B_filtered_func_data_clean_standard.nii.gz
>>> Pre_039A_filtered_func_data_clean_standard.nii.gz
>>> Pre_040A_filtered_func_data_clean_standard.nii.gz
>>> Pre_042B_filtered_func_data_clean_standard.nii.gz
>>> Pre_045A_filtered_func_data_clean_standard.nii.gz
>>> Pre_047A_filtered_func_data_clean_standard.nii.gz
>>> Pre_048B_filtered_func_data_clean_standard.nii.gz
>>> Pre_050B_filtered_func_data_clean_standard.nii.gz
>>> Pre_054A_filtered_func_data_clean_standard.nii.gz
>>> Pre_058B_filtered_func_data_clean_standard.nii.gz
>>> Pre_064B_filtered_func_data_clean_standard.nii.gz
>>> Pre_066A_filtered_func_data_clean_standard.nii.gz
>>> Pre_069B_filtered_func_data_clean_standard.nii.gz
>>> Pre_072A_filtered_func_data_clean_standard.nii.gz
>>> Pre_073B_filtered_func_data_clean_standard.nii.gz
>>> Pre_075A_filtered_func_data_clean_standard.nii.gz
>>> Pre_078A_filtered_func_data_clean_standard.nii.gz
>>>
>>> I was wondering if it's suppose to take that long. If so, it means that
>>> my analysis would be finish in more than a month.
>>>
>>> Please let me know what i should do to expedite the process.
>>>
>>> Thanks,
>>> Sara
>>>
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