Apologies! I don’t believe you can run the recon-all-clinical approach for
longitudinal work, as many of our intermediate files (e.g., norm.mgz) are not
directly comparable to the ones in the standard recon-all stream as of now.
Karthik
On Nov 26, 2024, at 9:03 AM, 王又劼 <wangyoujie2...@163.com> wrote:
External Email - Use Caution
Hello,
I have longitudinal imaging data for some participants. Due to the data
collection protocol, the T1w image from the first timepoint (TP1) is a clinical
sequence (e.g., slice thickness of 5mm or 6.5mm), while subsequent timepoints
collected 3D T1w images with a slice thickness of 1mm. My study focuses on
analyzing cortical thickness changes in participants over time. I have the
following questions:
1. I plan to use recon-all-clinical to analyze the clinical T1w data.
However, I noticed that the official documentation mentions that slice
thickness significantly impacts cortical thickness estimation. Are there any
acceptable methods for comparing cortical thickness changes across different
timepoints for the same participants?
2. Can the results of recon-all-clinical be used in FreeSurfer's
longitudinal workflow?
I have searched archived mails and reviewed studies citing articles related to
recon-all-clinical but have not found relevant answers. I would greatly
appreciate any help on this matter.
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