Dear MRtrix Team,

My lab is analyzing graph theory measures of “structural connectivity” – which is calculated based on the total number of tractography-based streamlines between ROIs in a standard anatomical atlas (e.g., Brainnetome). We are using a standard MRtrix pipeline to preprocess our DWI data and then calculate streamlines using ACT (i.e., using tckgen, tckedit, and tcksift).

Unfortunately, our DWI scans were acquired at a 0.85x0.85x1.5mm non-isotropic resolution. We are therefore concerned about the accuracy of the tractography measurements forming the basis of our connectivity data. We are therefore considering using MRgrid to resample our data to 1.5mm isotropic and obtain our graph theory measures of interest from the resampled data.

Should we be aware of any downsides to resampling our raw data and then entering it into the MRtrix pipeline? Are there additional considerations we should be aware of when deciding whether to use measurements derived from our original non-isotropic data versus resampled isotropic data? I am just trying to decide whether the benefits of using resampled data, for the purpose of tractography-based analyses, outweigh any potential negatives of not using the data in the resolution that it was actually acquired at.

Many thanks in advance,

Jenna