Dear All,
I am developing a bespoke numerical scheme for brain dynamics and to test it I am looking for a realistic cortical surface mesh (plial, for instance), and a somewhat realistic structural connectivity matrix. I can code in several languages, including python, but I have little familiarity with neuroimaging pipelines.
What I need is:
1. A triangulated surface mesh for a cortex with n vertices (so x,y,z coordinates for the vertices, and corresponding triangulations)
2. An accompanying structural connectivity matrix (hence global connectivity). Ideally, this would be an n-by-n matrix, potentially sparse, expressing some form of functional connectivity between each pair of vertices.
I have seen that the official TVB Data Zenodo repository (
https://zenodo.org/records/10128131) has certainly an example of the mesh, in particular in the SurfaceData folder. I have two questions:
* In cortex_2x120k, for instance, I see a mesh that also contains the medial wall, which I would like to remove with some form of masking. Is it possible to obtain a dataset where this has been taken out? Or even a binary file that goes with the vertices, to express which of them are active, and which not?
* The connectivity examples I see in the repository seem fairly small matrices. Is there any dataset containing a connectivity at some of the high resolutions of the SurfaceData folder?
Thanks
Daniele Avitabile