Spatial organization

Ecology

Neuroscience

Biology

Spatial ecology

Functional magnetic resonance imaging

Computer science

Evolutionary biology

Resting state fMRI

Connectome

Psychology

Pattern recognition (psychology)

Functional organization

Functional connectivity

Artificial intelligence

Functional specialization

Spatiotemporal pattern

Human Connectome Project

Nature Neuroscience

Resting-state functional magnetic resonance imaging (MRI) has yielded seemingly disparate insights into large-scale organization of the human brain. The brain’s large-scale organization can be divided into two broad categories: zero-lag representations of functional connectivity structure and time-lag representations of traveling wave or propagation structure. In this study, we sought to unify observed phenomena across these two categories in the form of three low-frequency spatiotemporal patterns composed of a mixture of standing and traveling wave dynamics. We showed that a range of empirical phenomena, including functional connectivity gradients, the task-positive/task-negative anti-correlation pattern, the global signal, time-lag propagation patterns, the quasiperiodic pattern and the functional connectome network structure, are manifestations of these three spatiotemporal patterns. These patterns account for much of the global spatial structure that underlies functional connectivity analyses and unifies phenomena in resting-state functional MRI previously thought distinct. The whole-brain organization of functional MRI signals has been studied in myriad ways. An in-depth study of these signals suggests a parsimonious description with a small number of spatiotemporal patterns.

A parsimonious description of global functional brain organization in three spatiotemporal patterns