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help > Coregistration in default CONN preprocessing
Jun 28, 2017 06:06 AM | Kasia Siuda - Institut du Cerveau et de la Moelle Epiniere
Coregistration in default CONN preprocessing
Dear CONN community,
I am a new CONN (v. 17f) user and I must say working with CONN is a great experience, this is indeed a very user-firendly software (which is quite rare in our field..)!
I decided to use the default CONN preprocessing pipeline to prepare my data for analysis. I am however puzzled by the fact that there is no inter-modality coregistration in the pipeline, namely no structural to mean functional coregistration step. I was wondering why is that so, or maybe there is an alternative coregistration step within the procedures already implemented? Is the set center to (0,0,0) for functional and structural an equivalent of coregistration? If that's so, what is the logic behind it?
I tried o find this information in the forum but I haven't found a thread concerning this issue. I would be very gratefull for clarification.
Thank you, Kasia
I am a new CONN (v. 17f) user and I must say working with CONN is a great experience, this is indeed a very user-firendly software (which is quite rare in our field..)!
I decided to use the default CONN preprocessing pipeline to prepare my data for analysis. I am however puzzled by the fact that there is no inter-modality coregistration in the pipeline, namely no structural to mean functional coregistration step. I was wondering why is that so, or maybe there is an alternative coregistration step within the procedures already implemented? Is the set center to (0,0,0) for functional and structural an equivalent of coregistration? If that's so, what is the logic behind it?
I tried o find this information in the forum but I haven't found a thread concerning this issue. I would be very gratefull for clarification.
Thank you, Kasia
Threaded View
Title | Author | Date |
---|---|---|
Kasia Siuda | Jun 28, 2017 | |
Alfonso Nieto-Castanon | Dec 16, 2017 | |
Will Mellick | Dec 5, 2023 | |
jblujus | Oct 21, 2021 | |
Daniel Berge | Dec 15, 2017 | |