Hi Vincent - That is correct. The average values of FA/MD/RD/AD in 
pathstats.byvoxel.txt are averaged over all the sampled paths for that 
subject at equivalent positions along the trajectory of the path. Roughly 
speaking, if 0<=s<=1 is the arc length along the path, where s=0 is the 
starting point and s=1 is the ending point of the path, the values are 
averaged at a set number of arc lengths, s = [0, ds, 2*ds, ... 1] along 
the paths. The corresponding position is established among all sampled 
paths for a subject and the FA/MD/RD/AD are averaged at that position for 
all sampled paths. So it's esentially an average value at a given 
cross-section of the pathway.

Hope this helps,
a.y

On Mon, 9 Dec 2013, Vincent Brunsch wrote:

> Hi Anastasia,
> Thanks for the new features! The first one helps me a lot!! When looking
> at 2., I realized I had not understood the Avg values in pathstats.byvoxel.
> The non-Avg values are just the measures at each of these voxels on the
> MAP, ok. But then it says
> " The last four entries are the axial diffusivity, radial diffusivity,
> mean diffusivity, and fractional anisotropy at the same position,
> averaged over all sampled paths. "
> "Same position" refers to e.g. the first position of a sampled path that
> could be located at a different voxel than stated in that row (x,y,z) in
> the beginning, right?
> I understand that this is an equivalent to the weighted Average values
> in pathstats.overall as all sampled paths are considered, even if a
> voxel would be hit more than once by the MCMC algorithm.
> If this is correct, it also seems that every sampled path for one
> subject comprises the same number of voxels? This only differs BETWEEN
> subjects as is pointed out later by your new feature?
> Best,
> Vincent
>
>
> Am 12/9/2013 9:23 AM, schrieb Anastasia Yendiki:
>> Hi all - I have just posted a tracula software update. This update adds
>> some new functionality without any changes to any existing functionality,
>> so you can use it with any analyses you have already done in 5.3.
>>
>> What's new:
>> 1. Compute measures of head motion, as in our recent paper:
>> http://www.sciencedirect.com/science/article/pii/S1053811913011312
>>
>> 2. Makes it easier to perform "along-the-tract" type analyses by combining
>> the FA/MD/etc values from multiple subjects by position along each tract.
>>
>> 3. Gradient vector tables can now be different for each scan, they can be
>> formatted in columns or rows, and blank lines at the end of the table
>> should not pose a problem.
>>
>> 4. Fixed a small scripting bug that was causing the longitudinal stream
>> not to run at all on certain platforms.
>>
>> You can get the update here:
>>      http://surfer.nmr.mgh.harvard.edu/fswiki/Tracula#Updates
>>
>> Download the file for the appropriate platform (same as your freesurfer
>> 5.3 distribution), unzip it, and copy the files directly into your
>> $FREESURFER_HOME/bin.
>>
>> The trac-all wiki page has been updated, with the new command-line
>> options shown in red:
>>      http://surfer.nmr.mgh.harvard.edu/fswiki/trac-all#Arguments
>>
>> The tracula tutorials have also been updated with info on how to use these
>> new features. Specifically:
>>
>> 1. For measures of head motion, see "Outputs from quality assessment" in:
>>      http://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/TraculaOutputs
>>
>> 2. For along-the-tract analyses, see "Anisotropy and diffusivity along the
>> trajectory of a pathway" in:
>>      http://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/TraculaStatistics
>>
>> 3. For new options for specifying gradient tables, see "Specify the
>> diffusion-encoding gradient table" in:
>>      http://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/Tracula
>>
>> Enjoy and thank you for your feedback,
>> a.y
>> _______________________________________________
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>>
>
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