# Network alignment and similarity reveal atlas-based topological differences in structural connectomes LINK FOR PYTHON PACKAGE: https://pypi.org/project/wlalign/ This archive contains the data and code that allow to reproduce the results of the paper: "Network alignment and similarity reveal atlas-based topological differences in structural connectomes". Matteo Frigo, Emilio Cruciani, David Coudert, Rachid Deriche, Emanuele Natale, Samuel Deslauriers-Gauthier. Network Neuroscience. 2021. https://doi.org/10.1162/netn_a_00199 ### Acknowledgements This work was funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (ERC Advanced Grant agreement No 694665: CoBCoM - Computational Brain Connectivity Mapping). Data were provided by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. # Filelist ## Data * `hcp-subject-list.txt`: list of subject IDs that identifies the subset of the HCP database considered in this study. * connectomes * `<atlas>`: directory with the connectome obtained with the atlas from the considered subjects. The connectivity matrices are saved as text files. ## Code * `source-code.tar.gz`: source code that allows to replicate the experiments. It requires python3 with numpy and scipy installed. * The version of WL-align contained in the archive is the prototype on which the current implementation available at [https://pypi.org/project/wlalign/](https://pypi.org/project/wlalign/) is based. * The version of FAQ contained in the archive is a freeze of what was available at the time when the experiments were run. In particular, the archive contains an implementation of FAQ equivalent to [this version](https://github.com/microsoft/graspologic/tree/e0761140adc50617d90cfeaa8cde63264fb1fb54), while the most updated version can be found [here](https://github.com/microsoft/graspologic). ## Results * similarity * `similarity-faq.csv`: aggregated results with the similarity of the alignment computed with FAQ between each pair of subjects for each atlas and considered similarity measure. * `similarity-wl-align.csv`: aggregated results with the similarity of the alignment computed with WL-align between each pair of subjects for each atlas and considered similarity measure. * alignments * FAQ * `<atlas>.tar.gz`: archive with all the alignments obtained with FAQ between each pair of subjects. Each alignment is a **csv file** with one row per node, where each row contains the index of a node in the first graph and the one in the second with which it has been aligned. * WL-align * `<atlas>.tar.gz`: archive with all the alignments obtained with FAQ between each pair of subjects. Each alignment is a **csv file** with one row per node, where each row contains the index of a node in the first graph and the one in the second with which it has been aligned.