The number of subjects needed to detect a change in white matter microstructure depends on the pathway in question

To be able to evaluate the differences in white matter across time plays an important role in brain research. We aim to estimate the sample size necessary to detect changes within white matter tracts in a repeated measures design. Three white matter sequences were acquired (diffusion weighted, multi-component relaxometry and non-Gaussian diffusion) to assess the variance within 18 different white matter tracts, which was then used in power calculations. Power calculations varied between the different white matter sequences and tracts. For example, detecting a 15% change within FA for the uncinate 18 subjects are needed while in cingulum-hippocampus it is 45.

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