ArticleNeuroImage2019
Imaging the spontaneous flow of thought: Distinct periods of cognition contribute to dynamic functional connectivity during rest.
Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A feature-based network analysis and fMRI meta-analysis reveal three distinct types of prosocial decisions.Social cognitive and affective neuroscience · 2021Pooled it
- Unlocking spontaneous cognition in the age of data science.Nature reviews. Neuroscience · 2026Article
- In-scanner thoughts contribute to resting-state functional connectivity.Nature communications · 2026Article
- Connectome caricatures remove large-amplitude coactivation patterns in resting-state fMRI to emphasize individual differences.Nature neuroscience · 2025Article
- General anaesthesia decreases the uniqueness of brain functional connectivity across individuals and species.Nature human behaviour · 2025Article
- Group-to-individual generalizability and individual-level inferences in cognitive neuroscience.Neuroscience and biobehavioral reviews · 2025Review
- In-Scanner Thoughts shape Resting-state Functional Connectivity: how participants "rest" matters.bioRxiv : the preprint server for biology · 2024Article
- Rapid fluctuations in functional connectivity of cortical networks encode spontaneous behavior.Nature neuroscience · 2024Article
- Deconstructing the Mapper algorithm to extract richer topological and temporal features from functional neuroimaging data.Network neuroscience (Cambridge, Mass.) · 2024Article
- Hemodynamic cortical ripples through cyclicity analysis.Network neuroscience (Cambridge, Mass.) · 2024Article
- Whole-brain multivariate hemodynamic deconvolution for functional MRI with stability selection.Medical image analysis · 2024Article
- Processing of the same narrative stimuli elicits common functional connectivity dynamics between individuals.Scientific reports · 2023Article
- General anaesthesia reduces the uniqueness of brain connectivity across individuals and across species.bioRxiv : the preprint server for biology · 2023Article
- Deconstructing the Mapper algorithm to extract richer topological and temporal features from functional neuroimaging data.bioRxiv : the preprint server for biology · 2023Article
- Cortex-wide neural dynamics predict behavioral states and provide a neural basis for resting-state dynamic functional connectivity.Cell reports · 2023Article
- Article
- Manifold Learning for fMRI time-varying FC.bioRxiv : the preprint server for biology · 2023Article
- Temporal Mapper: Transition networks in simulated and real neural dynamics.Network neuroscience (Cambridge, Mass.) · 2023Article
- Manifold learning for fMRI time-varying functional connectivity.Frontiers in human neuroscience · 2023Article
- Arousal impacts distributed hubs modulating the integration of brain functional connectivity.NeuroImage · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Brain functional connectivity (FC) changes have been measured across seconds using fMRI. This is true for both rest and task scenarios. Moreover, it is well accepted that task engagement alters FC, and that dynamic estimates of FC during and before task events can help predict their nature and performance. Yet, when it comes to dynamic FC (dFC) during rest, there is no consensus about its origin or significance. Some argue that rest dFC reflects fluctuations in on-going cognition, or is a manifestation of intrinsic brain maintenance mechanisms, which could have predictive clinical value. Conversely, others have concluded that rest dFC is mostly the result of sampling variability, head motion or fluctuating sleep states. Here, we present novel analyses suggesting that rest dFC is influenced by short periods of spontaneous cognitive-task-like processes, and that the cognitive nature of such mental processes can be inferred blindly from the data. As such, several different behaviorally relevant whole-brain FC configurations may occur during a single rest scan even when subjects were continuously awake and displayed minimal motion. In addition, using low dimensional embeddings as visualization aids, we show how FC states-commonly used to summarize and interpret resting dFC-can accurately and robustly reveal periods of externally imposed tasks; however, they may be less effective in capturing periods of distinct cognition during rest.
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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.