Hello Gabor,
a few quick comments:
i) Although we typically aim for maximizing both, accuracy and
reproducibility are different things. In a longitudinal study you
are often particularly interested in the reproducibility of the
findings, in the sense of their repeatability across different time
points if there are no significant biological changes in your
sample. T
ii) Ideally you would have included in your experimental design a
group of controls that you expect to not show longitudinal effects,
and used them to measure and estimate the test-retest
reproducibility error of your experimental setup (i.e., acquisition
+ analyses pipeline). This information can then be used to estimate
a lower limit of the effect size you may be able to measure with
your setup.
iii) We have looked at reproducibility errors of the longitudinal
Freesurfer cortex in healthy elderly volunteers from standard 3T
MPRAGE and found that it was generally above 2% in the structures we
looked at (https://www.ncbi.nlm.nih.gov/pubmed/23668971, Table 7).
We did not look at the cerebellum, but I imagine its reproducibility
will not be higher. However, if your acquisition protocol and
subject population are very different then these results might not
apply well as reference for you.
Cheers,
jorge
On 13/12/2016 11:41, Gabor Perlaki
wrote:
I've found the article "Within-subject template
estimation for unbiased longitudinal image analysis" by
Reuter et al. It only examines a limited number of
structures for the reproducibility of longitudinal
Freesurfer. Are there any other paper that examines the
cerebellum as well? Any suggestion from the authors of
Freesurfer about accuracy of longitudinal Freesurfer for the
cerebellum in healthy subjects?
Best,
Gabor
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