Multiresolution consensus clustering of the spinal cord connectome

Rather than defining network modules at a single resolution, the workflow systematically explores community organization across multiple clustering resolutions, thereby enabling the identification of stable, nested, and scale-dependent patterns of modular network organization.</p><p dir="ltr">The scripts cover the successive computational stages of the analysis, including preparation of the connectivity matrix, execution of the multiresolution clustering procedure, processing and comparison of community assignments across resolution levels, and generation of output files for subsequent anatomical, functional, and network-level analyses.</p><p dir="ltr">The pipeline was developed as part of the analysis of the spinal cord connectome and is provided to ensure transparency and computational reproducibility of the reported community structure.

The resulting community assignments can be combined with anatomical region identities, connection properties, and additional network measures for further characterization of spinal cord organization.</p><p dir="ltr">The ZIP archive contains the Python source files constituting the analysis workflow. Script numbering and filenames reflect the intended processing sequence.</p>