Precision dynamical mapping using topological data analysis reveals a hub-like transition state at rest

Authors

Manish Saggar, Stanford University
James M Shine, University of Sydney
Raphaël Liégeois, University of Geneva
Nico U F Dosenbach, Washington University School of Medicine in St. Louis
Damien Fair, University of Minnesota

Journal

Nature Communications

Publication Date

8-15-2022

Volume

13

Issue

1

First Page

4791

Document Type

Open Access Publication

DOI

10.1038/s41467-022-32381-2

Rights and Permissions

Saggar, M., Shine, J.M., Liégeois, R. et al. Precision dynamical mapping using topological data analysis reveals a hub-like transition state at rest. Nat Commun 13, 4791 (2022). https://doi.org/10.1038/s41467-022-32381-2 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Recommended Citation

Saggar, Manish; Shine, James M; Liégeois, Raphaël; Dosenbach, Nico U F; and Fair, Damien, "Precision dynamical mapping using topological data analysis reveals a hub-like transition state at rest." Nature Communications. 13, 1. 4791 (2022).
https://digitalcommons.wustl.edu/oa_4/157