External Email - Use Caution        

Thank you for your email.
I tried to load the label with qdec and freeview and both were not worked.
When i tried with qdec, It said '' load the surface first '' then I did but
It did not work and showed some errors.
The other way when I tried to load with qdec, qdec was closed suddenly
without any notification.
I am looking forward to hearing from you.

On Fri, Feb 14, 2020 at 11:44 PM Douglas N. Greve <dgr...@mgh.harvard.edu>
wrote:

> What tool are you trying to use to load the label? What happens when you
> try?
>
> On 2/7/2020 10:11 PM, Tien Pham wrote:
>
>         External Email - Use Caution
> Thank you for your email. I run exactly the command mri_label2label as
> you suggested, and the command finished without any problem.
> But I did not know why I could not open the label.
> Please help me. Thank you once again.
>
> On Tue, Feb 4, 2020 at 2:55 AM Douglas N. Greve <dgr...@mgh.harvard.edu>
> wrote:
>
>> sorry for the delay. You will have to use mri_label2label to map the
>> label from the fsaverage space to the individual space
>>
>>
>> On 1/31/2020 10:01 PM, Tien Pham wrote:
>>
>>         External Email - Use Caution
>> Can you read my message?
>> I used longitudinal pipeline for my data set with two time points and
>> measured the LGI differences between them.
>> Then I created the label based on significant clusters which showed in
>> QDEC.
>> I tried to load the label on the subjects in cross, base, long steps
>> but it did not work.
>> I am looking forward to hearing from you. Thank you very much.
>>
>> On Sat, Feb 1, 2020 at 8:08 AM Douglas N. Greve <dgr...@mgh.harvard.edu>
>> wrote:
>>
>>> Sorry, I do not have the previous emails, can you repost with previous
>>> emails in the message?
>>>
>>> On 1/28/2020 7:35 PM, Tien Pham wrote:
>>>
>>>         External Email - Use Caution
>>> Thank you for your response.
>>>
>>> I used longitudinal pipeline for my data set with two time points and
>>> calculated the LGI differences between them.
>>> Then I created the label based on significant clusters which showed in
>>> QDEC.
>>> I tried to load the label on subjects in cross, base, long steps but it
>>> did not work.
>>> I am looking forward to hearing from you. Thank you so much.
>>>
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