Hi,

I want to clarify some aspects longitudinal TRACULA processing before processing my data.

For example, I have 3 timepoints of data of the same participant:

sub101_01 sub101_02 sub101_03

All of these have structural and diffusion data (same scanner, same acquisition parameters). I processed structural data using FS longitudinal pipeline and got the following:

base_101 sub101_01.long.base_101 sub101_02.long.base_101 sub101_03.long.base_101

Now I want to run longitudinal TRACULA processing. If all data is OK after quality checking (struct and DWI) I could set the configuration file as follows:

set subjlist = ( sub101_01 \ sub101_02 \ sub101_03 )

set baselist = ( base_101 \ base_101 \ base_101 )

It turns out that DWI data of sub101_01 is extremely distorted and cannot be used for processing. Should I re-process struct data based on the last two timepoints or is it perfectly fine to use the base and long derived from all timepoints although I’m running tracula for the last two timepoints of DWI?

In addition to that, is it fine to run longitudinal TRACULA on a list of subjects where some of them have only one timepoint of data and structural processing underwent longitudinal pipeline for that one timepoint?

Thank you for your answers.

Best, Donatas