Dear all,
We are having very similar problems to the above. We ran the toolbox on 260 participants between 18-88 using the same FLAIR parameters across individuals, but found no relation between WMHI and age. Inspection of individual maps shows that WMHI estimation is inconsistent across individuals, with the largest problems in the youngest people (although only looking at older individuals gives the similar problems). Some 20 year old individuals have half their brain classified as WMHI (probably because they have no WMHI at all). Similar to the above, raising the threshold manually sometimes helps but on other occasions leads to false negatives for true WMHI in older adults. I think it may be because the training algorithm was performed only on individuals 45 and up? We could train a subsample of people for the entire range but I am not sure whether that would help, given that the priors would then differ so greatly between young (expected volume=0) and old (expected volume >0) that it may again lead to misclassifications? Does anyone have experience with including healthy young adults? Given the size of our sample manual classification is not feasible, but at this time it is looking as if the automated solution may not work either...
Best,
Rogier