Local structure-function relationships in human brain networks across the lifespan

F Zamani Esfahlani, J Faskowitz, J Slack… - Nature …, 2022 - nature.com
A growing number of studies have used stylized network models of communication to predict
brain function from structure. Most have focused on a small set of models applied globally …

Time-resolved structure-function coupling in brain networks

ZQ Liu, B Vazquez-Rodriguez, RN Spreng… - Communications …, 2022 - nature.com
The relationship between structural and functional connectivity in the brain is a key question
in systems neuroscience. Modern accounts assume a single global structure-function …

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

M Saggar, JM Shine, R Liégeois… - Nature …, 2022 - nature.com
In the absence of external stimuli, neural activity continuously evolves from one
configuration to another. Whether these transitions or explorations follow some underlying …

A spatiotemporal complexity architecture of human brain activity

S Krohn, N von Schwanenflug, L Waschke… - Science …, 2023 - science.org
The human brain operates in large-scale functional networks. These networks are an
expression of temporally correlated activity across brain regions, but how global network …

A method for estimating dynamic functional network connectivity gradients (dFNG) from ICA captures smooth inter-network modulation

N Soleimani, A Iraji, TGM van Erp, A Belger… - …, 2024 - pmc.ncbi.nlm.nih.gov
Dynamic functional network connectivity (dFNC) analysis is a widely used approach for
studying brain function and offering insight into how brain networks evolve over time …