Here, you may find the Python codes and sample scripts for Connectome Spatial Smoothing (CSS).
For more information you may check our article on Connectome Spatial Smoothing (CSS): concepts, methods and evaluation. All resources are provided as complementary to the following article:
Mansour, L. Sina, et al. "Connectome Spatial Smoothing (CSS): concepts, methods, and evaluation." NeuroImage (2022): 118930.
The code used for this study is now released as a python package. If using the codes, please also cite the following:
The codes in this repository mainly perform the following tasks:
-
Map high-resolution structural connectomes from tractography
-
Map atlas-resolution structural connectomes from tractography
-
Compute the CSS smoothing kernel with selected parameters
-
Perform CSS on high-resolution connectomes
-
Perform CSS directly on atlas connectomes
To use CSS functionality in your code, you can install the package with the following command:
pip install Connectome-Spatial-Smoothing
Then, you could simply use the package in your own code after importing:
from Connectome_Spatial_Smoothing import CSS as css
We have provided a short jupyter notebook showcasing all the functionalities described above. You may use the following link to open this notebook in an interactive google colab session:
Note: there has been a new release with added functionality that is explained in the following interactive notebook: