ArticleNeuroImage2021
Behavioural relevance of spontaneous, transient brain network interactions in fMRI.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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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
52 citing papers in PubMed, 98 citations in OpenAlex.
- Neurochemically informed network control theory reveals energetic dysregulation of altered brain state dynamics in obsessive-compulsive disorder.Psychiatry and clinical neurosciences · 2026Article
- Brain-wide resting-state fMRI network dynamics elicited by activation of single thalamic input.Nature communications · 2025Article
- Same movies, different stories: aberrant brain state dynamics during naturalistic emotional stimuli in depression.Journal of translational medicine · 2025Article
- Exploratory GABAa-informed control network modulates hyperarousal brain dynamics in chronic insomnia.Communications biology · 2025Article
- Neural Processes Linking Interoception to Moral Preferences Aligned with Group Consensus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Targeted Time-Varying Functional Connectivity.Human brain mapping · 2025Article
- Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel.eLife · 2025Article
- The Gaussian-linear hidden Markov model: A Python package.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Left Basal Ganglia Stroke-induced more Alterations of Functional Connectivity: Evidence from an fMRI StudyCurrent medical imaging · 2025Article
- Altered brain state dynamics between preterm and term-born infants.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Altered brain dynamics in post-stroke cognitive and motor dysfunction.Frontiers in aging neuroscience · 2025Article
- Time-resolved instantaneous functional loci estimation (TRIFLE): Estimating time-varying allocation of spatially overlapping sources in functional magnetic resonance imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Both k-core percolation and directed graph analysis revealed succession and transition of voxels' spatiotemporal progress on dynamic correlation resting-state fMRI.Frontiers in human neuroscience · 2025Article
- Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach.Translational psychiatry · 2024Article
- Predicting Subject Traits From Brain Spectral Signatures: An Application to Brain Ageing.Human brain mapping · 2024Article
- Disrupted working memory event-related network dynamics in multiple sclerosis.Communications biology · 2024Article
- Comparison between EEG and MEG of static and dynamic resting-state networks.Human brain mapping · 2024Article
- Stacking models of brain dynamics to improve prediction of subject traits in fMRI.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Dynamic properties in functional connectivity changes and striatal dopamine deficiency in Parkinson's disease.Human brain mapping · 2024Article
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Corrections and comments
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Authors and funding
4 authors at 4 institutions in 3 countries.
Funding
Abstract
How spontaneously fluctuating functional magnetic resonance imaging (fMRI) signals in different brain regions relate to behaviour has been an open question for decades. Correlations in these signals, known as functional connectivity, can be averaged over several minutes of data to provide a stable representation of the functional network architecture for an individual. However, associations between these stable features and behavioural traits have been shown to be dominated by individual differences in anatomy. Here, using kernel learning tools, we propose methods to assess and compare the relation between time-varying functional connectivity, time-averaged functional connectivity, structural brain data, and non-imaging subject behavioural traits. We applied these methods to Human Connectome Project resting-state fMRI data to show that time-varying fMRI functional connectivity, detected at time-scales of a few seconds, has associations with some behavioural traits that are not dominated by anatomy. Despite time-averaged functional connectivity accounting for the largest proportion of variability in the fMRI signal between individuals, we found that some aspects of intelligence could only be explained by time-varying functional connectivity. The finding that time-varying fMRI functional connectivity has a unique relationship to population behavioural variability suggests that it might reflect transient neuronal communication fluctuating around a stable neural architecture.
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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.