open-discussion > Use BioImage Suite to do functionalConnectivityPreprocessing
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Aug 7, 2019 09:08 PM | Yuanhanqing Huang
Use BioImage Suite to do functionalConnectivityPreprocessing
To whom it may concern,
Good day!
I am doing research about functional connectivity, and I want to implement some fMRI preprocessing suggested in related papers. They used BioImage Suite to do something like
1) removal of linear components related to motion parameters;
2) regression of the mean time courses of the white matter and CSF as well as the global signal;
3) removal of the linear trend;
4) low-pass filtering;
5) ...
From the previous discussion here, I guess the procedure is by using some commands like bis_csfwmmotioncorr, bis_removetemporaldrift, and so on, as suggested in [url=https://medicine.yale.edu/bioimaging/suite/Images/BioImage%20Module_tcm501-95808.pdf]this manual[/url].
But this manual is in 2010. I guess the commands here are replaced by the Javascript code published on GitHub (https://github.com/bioimagesuiteweb/bisweb). Please correct me if I am wrong. However, when I ran
```
./js/bin/bisweb.js -h functionalConnectivityPreprocessing
```
I could not get any help information.
And then I found out that this function is commented in
https://github.com/bioimagesuiteweb/bisweb/blob/31fe3460cb075497d7633db96908579d6b27ecf5/js/modules/moduleindex.js#L60
And I guess that may be the reason why I could not use it.
So, my questions are
1) May I directly uncomment this line and use this function?
2) Does this function contain the implementation of data preprocessing mentioned before?
3) If not, what should I do to complete the functional connectivity preprocessing?
I am looking forward to your reply.
Murphy Huang
Good day!
I am doing research about functional connectivity, and I want to implement some fMRI preprocessing suggested in related papers. They used BioImage Suite to do something like
1) removal of linear components related to motion parameters;
2) regression of the mean time courses of the white matter and CSF as well as the global signal;
3) removal of the linear trend;
4) low-pass filtering;
5) ...
From the previous discussion here, I guess the procedure is by using some commands like bis_csfwmmotioncorr, bis_removetemporaldrift, and so on, as suggested in [url=https://medicine.yale.edu/bioimaging/suite/Images/BioImage%20Module_tcm501-95808.pdf]this manual[/url].
But this manual is in 2010. I guess the commands here are replaced by the Javascript code published on GitHub (https://github.com/bioimagesuiteweb/bisweb). Please correct me if I am wrong. However, when I ran
```
./js/bin/bisweb.js -h functionalConnectivityPreprocessing
```
I could not get any help information.
And then I found out that this function is commented in
https://github.com/bioimagesuiteweb/bisweb/blob/31fe3460cb075497d7633db96908579d6b27ecf5/js/modules/moduleindex.js#L60
And I guess that may be the reason why I could not use it.
So, my questions are
1) May I directly uncomment this line and use this function?
2) Does this function contain the implementation of data preprocessing mentioned before?
3) If not, what should I do to complete the functional connectivity preprocessing?
I am looking forward to your reply.
Murphy Huang
Aug 26, 2019 08:08 PM | Xenophon Papademetris
Use BioImage Suiteto do functionalConnectivityPreprocessing
Murphy,
Sorry for the delay, this was lost when I was travelling. The module "functionalConnectivityPreprocessing" is unfinished at this point - it is on the todo list for the fall, so do not uncomment. The pieces are all there and tested so you can try them but I would not recommend it as we are not quite done with them.
Sorry,
Xenios
Sorry for the delay, this was lost when I was travelling. The module "functionalConnectivityPreprocessing" is unfinished at this point - it is on the todo list for the fall, so do not uncomment. The pieces are all there and tested so you can try them but I would not recommend it as we are not quite done with them.
Sorry,
Xenios