Control theory illustrates the energy efficiency in the dynamic reconfiguration of functional connectivity

Shikuang Deng; Jingwei Li; B. T. Thomas Yeo; Shi Gu

doi:10.1038/s42003-022-03196-0

Communications Biology (Apr 2022)

Control theory illustrates the energy efficiency in the dynamic reconfiguration of functional connectivity

Shikuang Deng,
Jingwei Li,
B. T. Thomas Yeo,
Shi Gu

Affiliations

Shikuang Deng: School of Computer Science and Engineering, University of Electronic Science and Technology of China
Jingwei Li: Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Center Jülich
B. T. Thomas Yeo: Department of Electrical and Computer Engineering, National University of Singapore
Shi Gu: School of Computer Science and Engineering, University of Electronic Science and Technology of China

DOI: https://doi.org/10.1038/s42003-022-03196-0
Journal volume & issue: Vol. 5, no. 1
pp. 1 – 12

Abstract

Read online

A framework that allows for the statistical investigation of the dynamic aspect of functional connectivity derived from resting-state fMRI is developed that is shown to complementarily predict individual differences in behavioral measurements compared to existing approaches.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

About the journal