ReviewNetwork neuroscience (Cambridge, Mass.)2020
Intrinsic connectome organization across temporal scales: New insights from cross-modal approaches.
Review in Network neuroscience (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
32 citing papers in PubMed, 78 citations in OpenAlex.
- Intrinsic timescale develops hierarchically from sensorimotor to association cortex in youth and stabilizes in adulthood.PLoS biology · 2026Article
- Shared spatial and temporal principles govern connectome dynamics across timescales.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Structure-function dynamics in healthy cognitive aging: a graph signal processing approach.Brain structure & function · 2026Article
- A multiplex of connectome trajectories enables several connectivity patterns in parallel.eLife · 2025Article
- Lifespan oscillatory dynamics in lexical production: A population-based MEG resting-state analysis.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- An optimized framework for simultaneous EEG-fMRI at 7T enabling safe, high-quality human brain imaging with millisecond temporal resolution and sub-millimeter spatial resolution.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Comparing structure-function relationships in brain networks using EEG and fNIRS.Scientific reports · 2024Article
- Task-specific topology of brain networks supporting working memory and inhibition.Human brain mapping · 2024Article
- Spectral-switching analysis reveals real-time neuronal network representations of concurrent spontaneous naturalistic behaviors in human brain.bioRxiv : the preprint server for biology · 2024Article
- Exploring Kainic Acid-Induced Alterations in Circular Tripartite Networks with Advanced Analysis Tools.eNeuro · 2024Article
- Cognitive abilities are associated with rapid dynamics of electrophysiological connectome states.bioRxiv : the preprint server for biology · 2024Article
- Rapid dynamics of electrophysiological connectome states are heritable.bioRxiv : the preprint server for biology · 2024Article
- Rapid dynamics of electrophysiological connectome states are heritable.Network neuroscience (Cambridge, Mass.) · 2024Article
- Cognitive abilities are associated with rapid dynamics of electrophysiological connectome states.Network neuroscience (Cambridge, Mass.) · 2024Article
- Altered correlation of concurrently recorded EEG-fMRI connectomes in temporal lobe epilepsy.Network neuroscience (Cambridge, Mass.) · 2024Article
- Complex topology meets simple statistics.Nature neuroscience · 2023Article
- Controversies and progress on standardization of large-scale brain network nomenclature.Network neuroscience (Cambridge, Mass.) · 2023Article
- Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex.PLoS biology · 2022Article
- Characteristic functional cores revealed by hyperbolic disc embedding and k-core percolation on resting-state fMRI.Scientific reports · 2022Article
- Connectomics of human electrophysiology.NeuroImage · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The discovery of a stable, whole-brain functional connectivity organization that is largely independent of external events has drastically extended our view of human brain function. However, this discovery has been primarily based on functional magnetic resonance imaging (fMRI). The role of this whole-brain organization in fast oscillation-based connectivity as measured, for example, by electroencephalography (EEG) and magnetoencephalography (MEG) is only beginning to emerge. Here, we review studies of intrinsic connectivity and its whole-brain organization in EEG, MEG, and intracranial electrophysiology with a particular focus on direct comparisons to connectome studies in fMRI. Synthesizing this literature, we conclude that irrespective of temporal scale over four orders of magnitude, intrinsic neurophysiological connectivity shows spatial similarity to the connectivity organization commonly observed in fMRI. A shared structural connectivity basis and cross-frequency coupling are possible mechanisms contributing to this similarity. Acknowledging that a stable whole-brain organization governs long-range coupling across all timescales of neural processing motivates researchers to take "baseline" intrinsic connectivity into account when investigating brain-behavior associations, and further encourages more widespread exploration of functional connectomics approaches beyond fMRI by using EEG and MEG modalities.
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Registered trials
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.