ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2016
How networks communicate: propagation patterns in spontaneous brain activity.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Hierarchical Flows of Human Cortical Activity.bioRxiv : the preprint server for biology · 2026Article
- Aging and the Spectral Properties of Brain Hemodynamics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Large-scale cortical functional networks are organized in structured cycles.Nature neuroscience · 2025Article
- Emergence of a temporal processing gradient from naturalistic inputs and network connectivity.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Event-Marked Windowed Communication: Inferring Activity Propagation from Neural Time Series.Human brain mapping · 2025Article
- Claustrum modulation drives altered prefrontal cortex dynamics and connectivity.Communications biology · 2024Article
- From local properties to brain-wide organization: A review of intraregional temporal features in functional magnetic resonance imaging data.Human brain mapping · 2023Review
- As without, so within: how the brain's temporo-spatial alignment to the environment shapes consciousness.Interface focus · 2023Article
- Targeted neurostimulation reverses a spatiotemporal biomarker of treatment-resistant depression.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- A spatiotemporal complexity architecture of human brain activity.Science advances · 2023Article
- Information flow across the cortical timescale hierarchy during narrative construction.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Brain-wide neural co-activations in resting human.NeuroImage · 2022Article
- Reaction-diffusion models in weighted and directed connectomes.PLoS computational biology · 2022Article
- Network modeling of dynamic brain interactions predicts emergence of neural information that supports human cognitive behavior.PLoS biology · 2022Article
- Article
- Latency structure of BOLD signals within white matter in resting-state fMRI.Magnetic resonance imaging · 2022Article
- Dissociable multi-scale patterns of development in personalized brain networks.Nature communications · 2022Article
- Oscillator decomposition of infant fNIRS data.PLoS computational biology · 2022Article
- The global neuronal workspace as a broadcasting network.Network neuroscience (Cambridge, Mass.) · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Initially regarded as 'noise', spontaneous (intrinsic) activity accounts for a large portion of the brain's metabolic cost. Moreover, it is now widely known that infra-slow (less than 0.1 Hz) spontaneous activity, measured using resting state functional magnetic resonance imaging of the blood oxygen level-dependent (BOLD) signal, is correlated within functionally defined resting state networks (RSNs). However, despite these advances, the temporal organization of spontaneous BOLD fluctuations has remained elusive. By studying temporal lags in the resting state BOLD signal, we have recently shown that spontaneous BOLD fluctuations consist of remarkably reproducible patterns of whole brain propagation. Embedded in these propagation patterns are unidirectional 'motifs' which, in turn, give rise to RSNs. Additionally, propagation patterns are markedly altered as a function of state, whether physiological or pathological. Understanding such propagation patterns will likely yield deeper insights into the role of spontaneous activity in brain function in health and disease.This article is part of the themed issue 'Interpreting blood oxygen level-dependent: a dialogue between cognitive and cellular neuroscience'.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.