open-discussion > functional connectivity calculation
Showing 1-10 of 10 posts
Apr 15, 2011 12:04 PM | Magno Guillen
functional connectivity calculation
Hi
I found an option called INTRINSC CONNECTIVITY on the fmri Menu. I am trying to do functinal connectivity to identify brain areas interconnected. Hoerver, I am not sure that Intrinsic connecty is functional connecting. generally and roi is defined and the application will identify areas that follow activation in other brain regions. I could not find further explanation on how to use this option of Biomage. I would appreciate if you can refer me to that documentation.
best Regards
Magno R. Guillen, PhD
FIU
I found an option called INTRINSC CONNECTIVITY on the fmri Menu. I am trying to do functinal connectivity to identify brain areas interconnected. Hoerver, I am not sure that Intrinsic connecty is functional connecting. generally and roi is defined and the application will identify areas that follow activation in other brain regions. I could not find further explanation on how to use this option of Biomage. I would appreciate if you can refer me to that documentation.
best Regards
Magno R. Guillen, PhD
FIU
Apr 15, 2011 09:04 PM | Xenophon Papademetris
functional
connectivity calculation
Dear Magno,
Thanks. We are working on an updated manual for the fMRI tool to describe the functional connectivity tools, hopefully this will be out in the next week or so and will describe things in more detail. Intrinsic Connectivity effectively computes the correlation (there are some abstracts from our group describing this and is similar to a recent paper by Buckner et al) from each voxel to each other and then for each voxel counts how many voxels had correlation above a certain threshold (typically 0.25) to compute a degree measure which is then normalized.
Xenios
Thanks. We are working on an updated manual for the fMRI tool to describe the functional connectivity tools, hopefully this will be out in the next week or so and will describe things in more detail. Intrinsic Connectivity effectively computes the correlation (there are some abstracts from our group describing this and is similar to a recent paper by Buckner et al) from each voxel to each other and then for each voxel counts how many voxels had correlation above a certain threshold (typically 0.25) to compute a degree measure which is then normalized.
Xenios
Apr 19, 2011 10:04 PM | Magno Guillen
RE: functional connectivity calculation
Thank you
I am looking forward to read the new manual.
Best regards
I am looking forward to read the new manual.
Best regards
Apr 19, 2011 10:04 PM | Magno Guillen
RE: functional connectivity calculation
HI Again.
i am trying to generate a series of slices automatically using the movie tools, which support scripting. Are you planing to include the movie tool in the new manual? Do you have any reference or example script to learn how to use it.
Thanks
i am trying to generate a series of slices automatically using the movie tools, which support scripting. Are you planing to include the movie tool in the new manual? Do you have any reference or example script to learn how to use it.
Thanks
Apr 20, 2011 08:04 PM | Xenophon Papademetris
RE: functional
connectivity calculation
Please clarify. What do you mean by slices? The movie tool really
only supports parameters to do with the camera position and
orientation not the contents of the scene.
There is a description of the movie tools here
http://www.bioimagesuite.org/doc/node8.h...
XP
There is a description of the movie tools here
http://www.bioimagesuite.org/doc/node8.h...
XP
Apr 20, 2011 08:04 PM | Magno Guillen
RE: functional connectivity calculation
Hi
I am sorry I could not explain myselft clearly. I am using the animation tool (Display-AnimationTool) in a manual way. Setting the view to axial and the delay time to 500 ms, then I startr the frame grabber and I scroll the axial slices and I get a stack of axial images. Since the animation tool works automatically with scripts, my question was regarding to how to generate a scriot that does that, capture the axial slice (or cor or sag) and then moves to next slices and records it.
I hope this clarify my question.
Best Regards
magno
I am sorry I could not explain myselft clearly. I am using the animation tool (Display-AnimationTool) in a manual way. Setting the view to axial and the delay time to 500 ms, then I startr the frame grabber and I scroll the axial slices and I get a stack of axial images. Since the animation tool works automatically with scripts, my question was regarding to how to generate a scriot that does that, capture the axial slice (or cor or sag) and then moves to next slices and records it.
I hope this clarify my question.
Best Regards
magno
Apr 20, 2011 08:04 PM | Xenophon Papademetris
RE: functional
connectivity calculation
Thanks. The script tool only allows the automatic manipulation of
the camera position for 3D scenes -- unfortunately the axial, sag,
coronal sliders are not scriptable right now.
Xenios
Xenios
Apr 21, 2011 01:04 PM | Magno Guillen
RE: functional connectivity calculation
Thanks for the explanation. I will continue doing the manual
operation to capture the slices.
As for the 3D manipulation of images (automatic rotation), do you have a sample script to understand its usage. Is it going to be available in the new release of the manual?
Thanks
As for the 3D manipulation of images (automatic rotation), do you have a sample script to understand its usage. Is it going to be available in the new release of the manual?
Thanks
Mar 11, 2021 11:03 AM | zhou yang
RE: functional connectivity calculation
Hello!
I would also like to know something about using BioImageSuit for intrinsic connectivity analysis. Can you share it with me? Thanks a million.
Best Wishes!
I would also like to know something about using BioImageSuit for intrinsic connectivity analysis. Can you share it with me? Thanks a million.
Best Wishes!
Apr 1, 2021 07:04 PM | Stephanie Noble - Yale University
RE: functional connectivity calculation
Hi Zhou,
Once your data is preprocessed and you have transformations mapping your data to the reference space, you can use legacy BIS to estimate connectivity. The legacy manual will get you much of the way there—see "Chapter 13: The Single Subject fMRI Tool":
https://medicine.yale.edu/bioimaging/sui... Please note that this will require legacy BIS—it is not yet possible to estimate matrices or GLM-based activation in BISWeb.
Essentially this will guide you in the process of creating a "setupfile" to estimate parameters for a GLM, but you can instead change some parameters in this file to estimate functional connectivity*. You can then run the setupfile to estimate FC like this:
bis_fmrisetup.tcl my_setupfile.xmlg matrix
Feel free to reach out if you encounter any issues going through these steps.
Best,
Stephanie
* Functional connectivity-specific parameters in the setupfile + example arguments:
#-----------------------------------------------------
#Resting State Connectivity Extra Inputs
#-----------------------------------------------------
#VOI Definition
/my_dir/shen_1mm_368_parcellation.nii.gz
#VOI Definition Space (Reference,Anatomical,Conventional,Functional)
Reference
#Inverse Reference Transformation
/my_dir/i.matr
#-----------------------------------------------------
#Connectivity Parameters
#-----------------------------------------------------
#Mask Level (% of max intensity)
masklevel : 0.05
#Polynomial Drift
driftpol : 3
# Slice Mean Removal
slicemeanremoval : 0
# Volume Mean Removal
volumemeanremoval : 1
#Raw Correlation
rawcorrelation : 0
#Z Transform
ztransform : 0
#Process Runs Individually
individualruns : 0
#Temporal Smoothing Sigma (Frames)
temporalsigma : 1
#Intrinsic Connectivity Threshold
threshold : 0.25
#Intrinsic Connectivity Range
range : Positive
#Intrinsic Connectivity Mode
mode : Sqr
#Use VOI Image as mask For Intrinsic Connectivity
usermask : 1
#Preprocess (Eliminate Motion Parameters)
usemotionparams : 1
#Preprocess (Eliminate CSF/White Matter Mean)
usecsfmean : 1
Once your data is preprocessed and you have transformations mapping your data to the reference space, you can use legacy BIS to estimate connectivity. The legacy manual will get you much of the way there—see "Chapter 13: The Single Subject fMRI Tool":
https://medicine.yale.edu/bioimaging/sui... Please note that this will require legacy BIS—it is not yet possible to estimate matrices or GLM-based activation in BISWeb.
Essentially this will guide you in the process of creating a "setupfile" to estimate parameters for a GLM, but you can instead change some parameters in this file to estimate functional connectivity*. You can then run the setupfile to estimate FC like this:
bis_fmrisetup.tcl my_setupfile.xmlg matrix
Feel free to reach out if you encounter any issues going through these steps.
Best,
Stephanie
* Functional connectivity-specific parameters in the setupfile + example arguments:
#-----------------------------------------------------
#Resting State Connectivity Extra Inputs
#-----------------------------------------------------
#VOI Definition
/my_dir/shen_1mm_368_parcellation.nii.gz
#VOI Definition Space (Reference,Anatomical,Conventional,Functional)
Reference
#Inverse Reference Transformation
/my_dir/i.matr
#-----------------------------------------------------
#Connectivity Parameters
#-----------------------------------------------------
#Mask Level (% of max intensity)
masklevel : 0.05
#Polynomial Drift
driftpol : 3
# Slice Mean Removal
slicemeanremoval : 0
# Volume Mean Removal
volumemeanremoval : 1
#Raw Correlation
rawcorrelation : 0
#Z Transform
ztransform : 0
#Process Runs Individually
individualruns : 0
#Temporal Smoothing Sigma (Frames)
temporalsigma : 1
#Intrinsic Connectivity Threshold
threshold : 0.25
#Intrinsic Connectivity Range
range : Positive
#Intrinsic Connectivity Mode
mode : Sqr
#Use VOI Image as mask For Intrinsic Connectivity
usermask : 1
#Preprocess (Eliminate Motion Parameters)
usemotionparams : 1
#Preprocess (Eliminate CSF/White Matter Mean)
usecsfmean : 1