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

Manish Saggar, James M. Shine, Raphaël Liégeois, Nico U.F. Dosenbach, Damien Fair

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

In the absence of external stimuli, neural activity continuously evolves from one configuration to another. Whether these transitions or explorations follow some underlying arrangement or lack a predictable ordered plan remains to be determined. Here, using fMRI data from highly sampled individuals (~5 hours of resting-state data per individual), we aimed to reveal the rules that govern transitions in brain activity at rest. Our Topological Data Analysis based Mapper approach characterized a highly visited transition state of the brain that acts as a switch between different neural configurations to organize the spontaneous brain activity. Further, while the transition state was characterized by a uniform representation of canonical resting-state networks (RSNs), the periphery of the landscape was dominated by a subject-specific combination of RSNs. Altogether, we revealed rules or principles that organize spontaneous brain activity using a precision dynamics approach.

Original languageEnglish (US)
Article number4791
JournalNature communications
Volume13
Issue number1
DOIs
StatePublished - Dec 2022

Bibliographical note

Funding Information:
This work was supported by an NIH Director’s New Innovator Award (DP2; MH119735), an NIH Career Development Award (K99/R00; MH104605), and an MCHRI Faculty Scholar Award to M.S. The Midnight Scan Club data acquisition was supported by grants from the National Institute of Health (NS088590); the Jacobs Foundation (2016121703); and the Kiwanis Neuroscience Research Foundation to N.U.F.D. Funding for the Human Connectome Project data acquisition were provided by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research (as part of the Human Connectome Project, WU-Minn Consortium; Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) and by the McDonnell Center for Systems Neuroscience at Washington University. R.L. was supported by the National Centre of Competence in Research - Evolving Language grant (51NF40_180888). D.F. was supported by grants from the National Institute of Health (MH096773, MH115357, and DA041148).

Publisher Copyright:
© 2022, The Author(s).

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