ArticleNeuroImage2020
Connectivity dynamics from wakefulness to sleep.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- TE-aware state analysis and evolution in dynamic network connectivity.bioRxiv : the preprint server for biology · 2026Article
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- Falling asleep follows a predictable bifurcation dynamic.Nature neuroscience · 2025Article
- A neurofunctional signature of affective arousal generalizes across valence domains and distinguishes subjective experience from autonomic reactivity.Nature communications · 2025Article
- Transition and dynamic reconfiguration in late-life depression based on hidden Markov model.Npj mental health research · 2025Article
- Dynamic brain states underlying advanced concentrative absorption meditation: A 7-T fMRI-intensive case study.Network neuroscience (Cambridge, Mass.) · 2025Article
- Altered brain state dynamics between preterm and term-born infants.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Sleep state-dependent development of resting-state functional connectivity during the preterm period.Sleep · 2024Article
- 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
- Rest assured: Dynamic functional connectivity and the baseline state of the human brain.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Epigenetic modification of the oxytocin receptor gene is associated with child-parent neural synchrony during competition.Developmental cognitive neuroscience · 2023Article
- Reliability and clinical utility of spatially constrained estimates of intrinsic functional networks from very short fMRI scans.Human brain mapping · 2023Article
- Article
- Altered dynamical integration/segregation balance during anesthesia-induced loss of consciousness.Frontiers in network physiology · 2023Article
- Article
- Dynamic Connectivity Analysis Using Adaptive Window Size.Sensors (Basel, Switzerland) · 2022Article
- Article
- Imaging the temporal dynamics of brain states with highly sampled fMRI.Current opinion in behavioral sciences · 2021Article
- Multimodal EEG-fMRI: advancing insight into large-scale human brain dynamics.Current opinion in biomedical engineering · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Interest in time-resolved connectivity in fMRI has grown rapidly in recent years. The most widely used technique for studying connectivity changes over time utilizes a sliding windows approach. There has been some debate about the utility of shorter versus longer windows, the use of fixed versus adaptive windows, as well as whether observed resting state dynamics during wakefulness may be predominantly due to changes in sleep state and subject head motion. In this work we use an independent component analysis (ICA)-based pipeline applied to concurrent EEG/fMRI data collected during wakefulness and various sleep stages and show: 1) connectivity states obtained from clustering sliding windowed correlations of resting state functional network time courses well classify the sleep states obtained from EEG data, 2) using shorter sliding windows instead of longer non-overlapping windows improves the ability to capture transition dynamics even at windows as short as 30 s, 3) motion appears to be mostly associated with one of the states rather than spread across all of them 4) a fixed tapered sliding window approach outperforms an adaptive dynamic conditional correlation approach, and 5) consistent with prior EEG/fMRI work, we identify evidence of multiple states within the wakeful condition which are able to be classified with high accuracy. Classification of wakeful only states suggest the presence of time-varying changes in connectivity in fMRI data beyond sleep state or motion. Results also inform about advantageous technical choices, and the identification of different clusters within wakefulness that are separable suggest further studies in this direction.
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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.