Dynamical models reveal anatomically reliable attractor landscapes embedded in resting-state brain networks.
Imaging neuroscience (Cambridge, Mass.) 2025 Ruiqi Chen, Matthew Singh, Todd S. Braver et al.
Analyses of functional connectivity (FC) in resting-state brain networks (RSNs) have generated many insights into cognition. However, the mechanistic underpinnings of FC and RSNs are still not well-understood. It remains debated whether resting-state activity is best characterized as reflecting noise-driven fluctuations around a single stable state, or instead, as a nonlinear dynamical system...