ArticleHuman brain mapping2019
Dynamic functional connectivity states characterize NREM sleep and wakefulness.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Advances in Human Brain Dynamics in a Multimodal, Multitask, Multisensory, and Multi-Timescale Framework.Brain sciences · 2026Article
- Dynamic Brain State Alterations in Narcolepsy: A Hidden Markov Model Approach to Thalamocortical Instability and Symptom-Specific Neural Correlates.Brain and behavior · 2026Article
- Noradrenaline and acetylcholine shape functional connectivity organization of NREM substages: An empirical and simulation study.PLoS computational biology · 2025Article
- Article
- Reproducible, data-driven characterization of sleep based on brain dynamics and transitions from whole-night fMRI.medRxiv : the preprint server for health sciences · 2024Article
- Effects of Targeted Memory Reactivation on Cortical Networks.Brain sciences · 2024Article
- Sleep fMRI with simultaneous electrophysiology at 9.4 T in male mice.Nature communications · 2023Article
- Article
- Functional Connectivity of White Matter and Its Association with Sleep Quality.Nature and science of sleep · 2023Article
- Transcutaneous auricular vagus nerve stimulation in the treatment of disorders of consciousness: mechanisms and applications.Frontiers in neuroscience · 2023Review
- Changes in white matter functional networks during wakefulness and sleep.Human brain mapping · 2022Article
- A temporal sequence of thalamic activity unfolds at transitions in behavioral arousal state.Nature communications · 2022Article
- Multiframe Evolving Dynamic Functional ConnectivityFrontiers in neuroscience · 2022Article
- Functional connectivity of the human hypothalamus during wakefulness and nonrapid eye movement sleep.Human brain mapping · 2021Article
- Cerebral functional networks during sleep in young and older individuals.Scientific reports · 2021Article
- How Energy Supports Our Brain to Yield Consciousness: Insights From Neuroimaging Based on the Neuroenergetics Hypothesis.Frontiers in systems neuroscience · 2021Review
- Variable functional connectivity architecture of the preterm human brain: Impact of developmental cortical expansion and maturation.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Dynamic functional connectivity states characterize NREM sleep and wakefulness.Human brain mapping · 2019Article
- What makes our brain unique: Insights from a two-night fMRI-EEG sleep study.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
7 authors.
Funding
Abstract
According to recent neuroimaging studies, temporal fluctuations in functional connectivity patterns can be clustered into dynamic functional connectivity (DFC) states and correspond to fluctuations in vigilance. However, whether there consistently exist DFC states associated with wakefulness and sleep stages and what are the characteristics and electrophysiological origin of these states remain unclear. The aims of the current study were to investigate the properties of DFC in different sleep stages and to explore the relationship between the characteristics of DFC and slow-wave activity. We collected both eyes-closed wakefulness and sleep data from 48 healthy young volunteers with simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) recordings. EEG data were employed as the gold standard of sleep stage scoring, and DFC states were estimated based on fMRI data. The results demonstrated that DFC states of the fMRI signals consistently corresponded to wakefulness and nonrapid eye movement sleep stages independent of the number of clusters. Furthermore, the mean dwell time of these states significantly correlated with slow-wave activity. The inclusion or omission of regression of the global signal and the selection of parcellation schemes exerted minimal effects on the current findings. These results provide strong evidence that DFC states underlying fMRI signals match the fluctuations of vigilance and suggest a possible electrophysiological source of DFC states corresponding to vigilance states.
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